[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"taxonomy":3,"taxonomy-items:\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture":570,"taxonomy-facets:H8:":1972},{"version":4,"topics":5},"2026-10-22.2",[6,71,127,199,270,331,387,433,479,533],{"code":7,"slug":8,"name":9,"path":10,"parent_code":11,"description":12,"count":13,"children":14},"I","digital-agriculture","数字农业与前沿技术","\u002Ftopic\u002Fdigital-agriculture",null,"浏览数字农业与前沿技术相关政策、产业动态与研究。",1341,[15,23,31,39,47,55,63],{"code":16,"slug":17,"name":18,"path":19,"parent_code":7,"description":20,"count":21,"children":22},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","智慧农业总体路径、模式与数字化转型",112,[],{"code":24,"slug":25,"name":26,"path":27,"parent_code":7,"description":28,"count":29,"children":30},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","人工智能算法、大模型与决策支持系统",634,[],{"code":32,"slug":33,"name":34,"path":35,"parent_code":7,"description":36,"count":37,"children":38},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","卫星与无人机遥感、长势监测与产量估测",325,[],{"code":40,"slug":41,"name":42,"path":43,"parent_code":7,"description":44,"count":45,"children":46},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis","地理信息、空间统计与区域计量方法",69,[],{"code":48,"slug":49,"name":50,"path":51,"parent_code":7,"description":52,"count":53,"children":54},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","农业传感器、物联网组网与边缘计算",155,[],{"code":56,"slug":57,"name":58,"path":59,"parent_code":7,"description":60,"count":61,"children":62},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","数字乡村建设、数字鸿沟与数据治理",151,[],{"code":64,"slug":65,"name":66,"path":67,"parent_code":7,"description":68,"count":69,"children":70},"I7","research-methods","研究方法与评估","\u002Ftopic\u002Fdigital-agriculture\u002Fresearch-methods","综述、文献计量与因果识别方法",2,[],{"code":72,"slug":73,"name":74,"path":75,"parent_code":11,"description":76,"count":77,"children":78},"F","inputs-equipment","农业投入品与装备","\u002Ftopic\u002Finputs-equipment","浏览农业投入品与装备相关政策、产业动态与研究。",608,[79,87,95,103,111,119],{"code":80,"slug":81,"name":82,"path":83,"parent_code":72,"description":84,"count":85,"children":86},"F1","seed-industry","种业与品种管理","\u002Ftopic\u002Finputs-equipment\u002Fseed-industry","种质资源、品种审定与知识产权",162,[],{"code":88,"slug":89,"name":90,"path":91,"parent_code":72,"description":92,"count":93,"children":94},"F2","biotechnology","生物育种与基因技术","\u002Ftopic\u002Finputs-equipment\u002Fbiotechnology","分子设计育种、基因编辑与合成生物",63,[],{"code":96,"slug":97,"name":98,"path":99,"parent_code":72,"description":100,"count":101,"children":102},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","施肥技术、化肥减量与新型肥料",88,[],{"code":104,"slug":105,"name":106,"path":107,"parent_code":72,"description":108,"count":109,"children":110},"F4","crop-protection","农药与绿色防控","\u002Ftopic\u002Finputs-equipment\u002Fcrop-protection","农药管理、绿色植保与生物防治",135,[],{"code":112,"slug":113,"name":114,"path":115,"parent_code":72,"description":116,"count":117,"children":118},"F5","machinery","农机装备与机械化","\u002Ftopic\u002Finputs-equipment\u002Fmachinery","农机装备、机械化作业与导航",121,[],{"code":120,"slug":121,"name":122,"path":123,"parent_code":72,"description":124,"count":125,"children":126},"F6","agricultural-robots","机器人与无人农场","\u002Ftopic\u002Finputs-equipment\u002Fagricultural-robots","农业机器人、无人农场与智能作业",36,[],{"code":128,"slug":129,"name":130,"path":131,"parent_code":11,"description":132,"count":133,"children":134},"H","environment","资源环境与气候变化","\u002Ftopic\u002Fenvironment","浏览资源环境与气候变化相关政策、产业动态与研究。",672,[135,143,151,159,167,175,183,191],{"code":136,"slug":137,"name":138,"path":139,"parent_code":128,"description":140,"count":141,"children":142},"H1","farmland","耕地保护与高标准农田","\u002Ftopic\u002Fenvironment\u002Ffarmland","耕地数量质量、高标准农田与农田建设",29,[],{"code":144,"slug":145,"name":146,"path":147,"parent_code":128,"description":148,"count":149,"children":150},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","土壤理化生物性状、盐碱地治理与固碳",207,[],{"code":152,"slug":153,"name":154,"path":155,"parent_code":128,"description":156,"count":157,"children":158},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","水资源配置、节水灌溉与旱作农业",150,[],{"code":160,"slug":161,"name":162,"path":163,"parent_code":128,"description":164,"count":165,"children":166},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","碳排放核算、碳汇与绿色转型",44,[],{"code":168,"slug":169,"name":170,"path":171,"parent_code":128,"description":172,"count":173,"children":174},"H5","waste","面源污染与废弃物利用","\u002Ftopic\u002Fenvironment\u002Fwaste","面源污染治理与秸秆粪污等废弃物利用",8,[],{"code":176,"slug":177,"name":178,"path":179,"parent_code":128,"description":180,"count":181,"children":182},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","生态系统修复、生物多样性与土地利用变化",45,[],{"code":184,"slug":185,"name":186,"path":187,"parent_code":128,"description":188,"count":189,"children":190},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","气候变化影响、气候韧性农业与灾害预警",197,[],{"code":192,"slug":193,"name":194,"path":195,"parent_code":128,"description":196,"count":197,"children":198},"H8","sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture","可持续生产模式与保护性耕作",40,[],{"code":200,"slug":201,"name":202,"path":203,"parent_code":11,"description":204,"count":205,"children":206},"A","field-crops","大田作物","\u002Ftopic\u002Ffield-crops","浏览大田作物相关政策、产业动态与研究。",1227,[207,215,223,231,239,247,255,262],{"code":208,"slug":209,"name":210,"path":211,"parent_code":200,"description":212,"count":213,"children":214},"A1","rice","水稻","\u002Ftopic\u002Ffield-crops\u002Frice","以水稻为对象的生产、育种、植保、机械化与产业内容",337,[],{"code":216,"slug":217,"name":218,"path":219,"parent_code":200,"description":220,"count":221,"children":222},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat","小麦及冬春麦区相关生产与科研",144,[],{"code":224,"slug":225,"name":226,"path":227,"parent_code":200,"description":228,"count":229,"children":230},"A3","maize","玉米","\u002Ftopic\u002Ffield-crops\u002Fmaize","玉米生产、育种、密植高产与复合种植",189,[],{"code":232,"slug":233,"name":234,"path":235,"parent_code":200,"description":236,"count":237,"children":238},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds","大豆、油菜、花生、向日葵、芝麻等油料与蛋白作物",166,[],{"code":240,"slug":241,"name":242,"path":243,"parent_code":200,"description":244,"count":245,"children":246},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","马铃薯、甘薯、高粱、谷子、荞麦等薯类杂粮",92,[],{"code":248,"slug":249,"name":250,"path":251,"parent_code":200,"description":252,"count":253,"children":254},"A6","cash-crops","棉麻糖与特色经作","\u002Ftopic\u002Ffield-crops\u002Fcash-crops","棉花、甘蔗、烟草、蚕桑等工业原料型作物",87,[],{"code":256,"slug":257,"name":258,"path":259,"parent_code":200,"description":260,"count":141,"children":261},"A7","forage-cropping","饲草与耕作制度","\u002Ftopic\u002Ffield-crops\u002Fforage-cropping","饲草产业与间套轮作、连作障碍等种植制度",[],{"code":263,"slug":264,"name":265,"path":266,"parent_code":200,"description":267,"count":268,"children":269},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","单产行动、产能建设与粮食安全、收购形势",143,[],{"code":271,"slug":272,"name":273,"path":274,"parent_code":11,"description":275,"count":276,"children":277},"B","horticulture","园艺作物","\u002Ftopic\u002Fhorticulture","浏览园艺作物相关政策、产业动态与研究。",531,[278,285,293,301,308,315,323],{"code":279,"slug":280,"name":281,"path":282,"parent_code":271,"description":283,"count":189,"children":284},"B1","vegetables","蔬菜","\u002Ftopic\u002Fhorticulture\u002Fvegetables","蔬菜育种、栽培、病虫害与产业",[],{"code":286,"slug":287,"name":288,"path":289,"parent_code":271,"description":290,"count":291,"children":292},"B2","fruit","果树","\u002Ftopic\u002Fhorticulture\u002Ffruit","苹果、柑橘、猕猴桃、葡萄、热带亚热带果树",147,[],{"code":294,"slug":295,"name":296,"path":297,"parent_code":271,"description":298,"count":299,"children":300},"B3","tea-coffee","茶叶与咖啡","\u002Ftopic\u002Fhorticulture\u002Ftea-coffee","茶叶、咖啡、可可等饮品原料作物",51,[],{"code":302,"slug":303,"name":304,"path":305,"parent_code":271,"description":306,"count":125,"children":307},"B4","flowers","花卉与观赏植物","\u002Ftopic\u002Fhorticulture\u002Fflowers","花卉产业、月季等观赏园艺",[],{"code":309,"slug":310,"name":311,"path":312,"parent_code":271,"description":313,"count":141,"children":314},"B5","mushrooms","食用菌","\u002Ftopic\u002Fhorticulture\u002Fmushrooms","食用菌菌种、栽培与产业",[],{"code":316,"slug":317,"name":318,"path":319,"parent_code":271,"description":320,"count":321,"children":322},"B6","medicinal-plants","中药材与药食同源","\u002Ftopic\u002Fhorticulture\u002Fmedicinal-plants","道地药材、药用植物与药食同源开发",22,[],{"code":324,"slug":325,"name":326,"path":327,"parent_code":271,"description":328,"count":329,"children":330},"B7","protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","设施化保护地生产与植物工厂、无土栽培、都市农业",67,[],{"code":332,"slug":333,"name":334,"path":335,"parent_code":11,"description":336,"count":337,"children":338},"C","livestock","畜牧兽医","\u002Ftopic\u002Flivestock","浏览畜牧兽医相关政策、产业动态与研究。",198,[339,347,355,363,371,379],{"code":340,"slug":341,"name":342,"path":343,"parent_code":332,"description":344,"count":345,"children":346},"C1","pigs","生猪","\u002Ftopic\u002Flivestock\u002Fpigs","生猪养殖、产能与产业形势",14,[],{"code":348,"slug":349,"name":350,"path":351,"parent_code":332,"description":352,"count":353,"children":354},"C2","ruminants","草食牲畜","\u002Ftopic\u002Flivestock\u002Fruminants","奶牛、肉牛、羊养殖与奶业",47,[],{"code":356,"slug":357,"name":358,"path":359,"parent_code":332,"description":360,"count":361,"children":362},"C3","poultry","家禽","\u002Ftopic\u002Flivestock\u002Fpoultry","蛋鸡、肉鸡、水禽养殖",18,[],{"code":364,"slug":365,"name":366,"path":367,"parent_code":332,"description":368,"count":369,"children":370},"C4","feed","饲料与饲草","\u002Ftopic\u002Flivestock\u002Ffeed","饲料安全、蛋白饲料与饲草供给",35,[],{"code":372,"slug":373,"name":374,"path":375,"parent_code":332,"description":376,"count":377,"children":378},"C5","animal-health","疫病防控与兽药","\u002Ftopic\u002Flivestock\u002Fanimal-health","动物疫病、疫苗、兽药与人兽共患病",50,[],{"code":380,"slug":381,"name":382,"path":383,"parent_code":332,"description":384,"count":385,"children":386},"C6","smart-livestock","养殖环境与智慧畜牧","\u002Ftopic\u002Flivestock\u002Fsmart-livestock","粪污资源化、动物福利与智能化养殖",10,[],{"code":388,"slug":389,"name":390,"path":391,"parent_code":11,"description":392,"count":197,"children":393},"D","aquaculture","渔业水产","\u002Ftopic\u002Faquaculture","浏览渔业水产相关政策、产业动态与研究。",[394,402,410,418,426],{"code":395,"slug":396,"name":397,"path":398,"parent_code":388,"description":399,"count":400,"children":401},"D1","pond-factory-aquaculture","池塘与工厂化养殖","\u002Ftopic\u002Faquaculture\u002Fpond-factory-aquaculture","池塘养殖、循环水与设施渔业",4,[],{"code":403,"slug":404,"name":405,"path":406,"parent_code":388,"description":407,"count":408,"children":409},"D2","offshore-aquaculture","深远海养殖与海洋牧场","\u002Ftopic\u002Faquaculture\u002Foffshore-aquaculture","深远海养殖工船、海洋牧场与渔业资源",5,[],{"code":411,"slug":412,"name":413,"path":414,"parent_code":388,"description":415,"count":416,"children":417},"D3","integrated-aquaculture","稻渔种养与生态渔业","\u002Ftopic\u002Faquaculture\u002Fintegrated-aquaculture","稻渔综合种养、增殖渔业与生态养殖",12,[],{"code":419,"slug":420,"name":421,"path":422,"parent_code":388,"description":423,"count":424,"children":425},"D4","aquatic-health","水质与病害","\u002Ftopic\u002Faquaculture\u002Faquatic-health","养殖水质调控与水生动物病害防控",0,[],{"code":427,"slug":428,"name":429,"path":430,"parent_code":388,"description":431,"count":69,"children":432},"D5","smart-aquaculture","智慧渔业","\u002Ftopic\u002Faquaculture\u002Fsmart-aquaculture","渔业数字化、智能投喂与养殖装备",[],{"code":434,"slug":435,"name":436,"path":437,"parent_code":11,"description":438,"count":439,"children":440},"E","food-supply","农产品加工与流通","\u002Ftopic\u002Ffood-supply","浏览农产品加工与流通相关政策、产业动态与研究。",107,[441,449,457,464,471],{"code":442,"slug":443,"name":444,"path":445,"parent_code":434,"description":446,"count":447,"children":448},"E1","food-processing","加工与食品制造","\u002Ftopic\u002Ffood-supply\u002Ffood-processing","初加工、精深加工与食品制造工艺",25,[],{"code":450,"slug":451,"name":452,"path":453,"parent_code":434,"description":454,"count":455,"children":456},"E2","nutrition","营养与功能食品","\u002Ftopic\u002Ffood-supply\u002Fnutrition","膳食营养、功能成分与大食物观",1,[],{"code":458,"slug":459,"name":460,"path":461,"parent_code":434,"description":462,"count":416,"children":463},"E3","cold-chain","冷链仓储物流","\u002Ftopic\u002Ffood-supply\u002Fcold-chain","保鲜包装、冷链与粮食仓储物流",[],{"code":465,"slug":466,"name":467,"path":468,"parent_code":434,"description":469,"count":369,"children":470},"E4","food-safety","质量安全与溯源","\u002Ftopic\u002Ffood-supply\u002Ffood-safety","质量安全检测、农药残留与全链条追溯",[],{"code":472,"slug":473,"name":474,"path":475,"parent_code":434,"description":476,"count":477,"children":478},"E5","branding-commerce","品牌流通与电商","\u002Ftopic\u002Ffood-supply\u002Fbranding-commerce","品牌建设、产销对接与农村电商",33,[],{"code":480,"slug":481,"name":482,"path":483,"parent_code":11,"description":484,"count":485,"children":486},"G","rural-services","农业服务与乡村发展","\u002Ftopic\u002Frural-services","浏览农业服务与乡村发展相关政策、产业动态与研究。",344,[487,495,502,510,518,526],{"code":488,"slug":489,"name":490,"path":491,"parent_code":480,"description":492,"count":493,"children":494},"G1","extension-transfer","农技推广与成果转化","\u002Ftopic\u002Frural-services\u002Fextension-transfer","农技推广体系、科技特派员与科技小院",139,[],{"code":496,"slug":497,"name":498,"path":499,"parent_code":480,"description":500,"count":439,"children":501},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","托管服务、土地流转与新型经营主体",[],{"code":503,"slug":504,"name":505,"path":506,"parent_code":480,"description":507,"count":508,"children":509},"G3","rural-finance","农村金融与保险","\u002Ftopic\u002Frural-services\u002Frural-finance","信贷担保、农业保险与财政支农",20,[],{"code":511,"slug":512,"name":513,"path":514,"parent_code":480,"description":515,"count":516,"children":517},"G4","rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry","乡村产业、三产融合与县域经济",28,[],{"code":519,"slug":520,"name":521,"path":522,"parent_code":480,"description":523,"count":524,"children":525},"G5","rural-governance","乡村治理与人才","\u002Ftopic\u002Frural-services\u002Frural-governance","乡村治理、数字治理与人才培养",11,[],{"code":527,"slug":528,"name":529,"path":530,"parent_code":480,"description":531,"count":321,"children":532},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","常态化帮扶、区域协作与农民增收",[],{"code":534,"slug":535,"name":536,"path":537,"parent_code":11,"description":538,"count":539,"children":540},"J","policy","政策与宏观","\u002Ftopic\u002Fpolicy","浏览政策与宏观相关政策、产业动态与研究。",132,[541,548,555,562],{"code":542,"slug":543,"name":544,"path":545,"parent_code":534,"description":546,"count":408,"children":547},"J1","policy-planning","政策制度与发展规划","\u002Ftopic\u002Fpolicy\u002Fpolicy-planning","部委政策、规划文件与解读",[],{"code":549,"slug":550,"name":551,"path":552,"parent_code":534,"description":553,"count":447,"children":554},"J2","modernization","农业强国与现代化","\u002Ftopic\u002Fpolicy\u002Fmodernization","农业强国、农业农村现代化与新质生产力",[],{"code":556,"slug":557,"name":558,"path":559,"parent_code":534,"description":560,"count":400,"children":561},"J3","global-agriculture","国际合作与全球农业","\u002Ftopic\u002Fpolicy\u002Fglobal-agriculture","国际农业合作与国别农业研究",[],{"code":563,"slug":564,"name":565,"path":566,"parent_code":534,"description":567,"count":568,"children":569},"J4","seasonal-agriculture","农时与节庆活动","\u002Ftopic\u002Fpolicy\u002Fseasonal-agriculture","农时生产调度、丰收节与消费季",98,[],{"total":197,"page":455,"page_size":508,"items":571},[572,634,714,766,811,867,959,1041,1098,1232,1327,1397,1469,1525,1580,1642,1717,1786,1854,1905],{"id":573,"title":574,"url":575,"summary":576,"summary_zh":11,"content":577,"source_name":578,"source_url":11,"published_at":579,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":582,"score_detail":583,"sources":587,"tags":589,"primary_topic":594,"secondary_topics":595,"classification":598,"search_phrases":629,"slug":632,"view_count":424,"doi":11,"paper":11,"created_at":633},5519,"四川农科院资环所赴简阳调研 推进粗饲料加工与种养循环落地","https:\u002F\u002Fwww.chinawestagr.com\u002Ftszl\u002Fshowts.asp?id=67504","10月9日院资环所（草业所）副所长朱永群一行赴简阳市平泉街道调研座谈，汇报「天府农科」四川省平原丘陵区粗饲料加工利用研究院项目建设进展。三方就共建饲草料加工示范点、推进种草养猪等绿色循环项目达成共识，强调立足实际选准主导品种与技术模式，形成「饲料—养殖—粪肥—农田」闭环，把示范基地建成可学可复制的样板。","λԺʻ                ʱ䣺2026\u002F10\u002F16331\n\nΪ᳹ʵҹƶDzݲҵչľ߲𣬼ӿƼɹת2026109գԺʻҵȺоԱһиƽȪ̸ֵƽȪֵίֵ֣ίǡ´¼ֵũҵۺϷġͩйظͬ־пũƼ޹˾³¡ܾˣԺʻҵƹܿƿƳ޸㸱оԱҵ̷оʿȲμӡ\n\nϣ㱨“‘츮ũ’ĴʡƽԭϼӹоԺĿ”Ľ豳岼ֺ½չ¶³˹˾ҵͺϣDzϼӹʾ㣬ӿƽֲɫѭĿ˽ֵԴͲҵʾֵոԴḻֳϺãDzֲϻôַţϣڼ˲ϵõԺֵ֧֣õءùϡ\n\nȺڽָҪʵѡ׼ƷֺͼģʽḻDzϲƷߣͻ“Բݴ”ѭγ“—ֳ——ũ”ջעر׼ƶƷʾؽɿѧɸƵ塣","四川省农业科学院 2026-10-20","2026-10-20T00:00:00Z","报道",false,49,{"impact":416,"substance":385,"depth":173,"authority":584,"freshness":585,"relevant":455,"comment":586},13,6,"省级科研机构赴地方推进粗饲料加工与种养循环落地的调研通稿，有具体合作与示范意图，但属区域性进展，信息增量有限，不宜进入每日精选。",[588],{"name":578,"url":575},[590,591,592,593],"院企合作","科技成果转化","种养循环","粗饲料加工",{"code":364,"slug":365,"name":366,"path":367,"parent_code":332},[596,597],{"code":442,"slug":443,"name":444,"path":445,"parent_code":434},{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":601},"classified","rules",{"candidates":602,"agricultural_evidence":604},[603,610,614,619,625],{"code":364,"score":345,"supported":604,"title":605,"abstract":607,"tags":609},true,[606],"饲料",[606,608],"饲草",[],{"code":442,"score":524,"supported":604,"title":611,"abstract":612,"tags":613},[593],[593],[],{"code":192,"score":615,"supported":604,"title":616,"abstract":617,"tags":618},9,[592],[],[592],{"code":340,"score":620,"supported":604,"title":621,"abstract":622,"tags":624},3,[],[623],"养猪",[],{"code":488,"score":69,"supported":581,"title":626,"abstract":627,"tags":628},[],[],[591,590],[630,631],"四川省农科院 简阳 粗饲料","简阳 种养循环 示范基地","四川省农科院简阳粗饲料-5519","2026-10-22T00:07:04.243033Z",{"id":635,"title":636,"url":637,"summary":638,"summary_zh":639,"content":11,"source_name":640,"source_url":637,"published_at":579,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":642,"score_detail":643,"sources":645,"tags":647,"primary_topic":652,"secondary_topics":653,"classification":655,"search_phrases":691,"slug":694,"view_count":424,"doi":695,"paper":696,"created_at":713},5475,"Adoption of Climate-Smart Conservation Agriculture in Improving Food Security in Zimbabwe: The Case of Marondera District, Zimbabwe","https:\u002F\u002Fdoi.org\u002F10.71458\u002Fwby9rf15","Climate change is negatively impacting the global community and local communities in the Southern African Development Community (SADC) region. Extreme weather events are occurring more frequently, posing a threat to human lives and well-being. Climate change-induced disasters have exacerbated the risks of hunger and under nutrition through reduced yields of agricultural crops. The detrimental effects of climate change are particularly seen in Zimbabwe. It is best to use climate-smart agriculture (CSA) in the smallholder agricultural sector, which produces the majority of the nation's food. Therefore, it is important to learn lessons from past events and manage risks effectively as part of an integrated set of interventions directed at mitigating the harmful impacts of disasters and risks. The research explores community adaptation and coping strategies in addressing the effects of climate change on food security using Marondera District as a case study. The research was conducted using the qualitative research methodology. Data were collected from a population of 50 people that included smallscale farmers, Agritex officers, extension officers, non-governmental organisation (NGO) representatives, village herdsman and the chief. Documentary research was analysed thematically. The research concludes that climate change has had a negative impact on food security. It affected all the four dimensions of food security, that is; food availability, food accessibility, food utilisation and food systems stability. In response, various projects aimed at ensuring community resilience to cope in the face of climatological hazards have been implemented by NGOs, government institutions and other actors, with community members being key stakeholder. The research recommends continued mobilisation of social protection interventions, building of resilient agricultural systems to make them more resilient to climate change and improving the management of the environment to ensure effectiveness in efforts to mitigate the impact of climate change on food security.","气候变化正在对全球社会以及南部非洲发展共同体（SADC）区域的当地社区产生负面影响。极端天气事件发生频率增加，对人类生命和福祉构成威胁。气候变化引发的灾害通过降低农作物产量，加剧了饥饿和营养不足的风险。气候变化的不利影响在津巴布韦尤为显著。在小农农业部门——该部门生产了全国大部分粮食——最好采用气候智能型农业（CSA）。因此，重要的是从过去的事件中吸取教训，并作为旨在减轻灾害和风险有害影响的一套综合干预措施的一部分，有效管理风险。本研究以马龙德拉区为案例，探讨社区在应对气候变化对粮食安全影响方面的适应和应对策略。研究采用定性研究方法开展。数据从50人的群体中收集，包括小规模农户、Agritex官员、推广官员、非政府组织（NGO）代表、村级牧民和酋长。文献研究进行了主题分析。研究得出结论，气候变化对粮食安全产生了负面影响。它影响了粮食安全的所有四个维度，即粮食可供性、粮食可及性、粮食利用和粮食系统稳定性。作为回应，非政府组织、政府机构和其他行为体实施了旨在确保社区抵御气候灾害能力的各类项目，社区成员是关键利益相关者。研究建议继续动员社会保护干预措施，建设有韧性的农业系统以使其更能抵御气候变化，并改善环境管理，以确保减轻气候变化对粮食安全影响的努力取得实效。","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations","论文",54,{"impact":173,"substance":361,"depth":345,"authority":585,"freshness":173,"relevant":455,"comment":644},"以津巴布韦Marondera区为案例的定性研究，探讨气候智慧型保护性农业对粮食安全四维度的影响，属区域案例研究，国际借鉴价值有限，不建议进入每日精选。",[646],{"name":640,"url":637},[648,649,650,651],"粮食安全","小农户","气候智慧农业","津巴布韦",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[654],{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":656},{"candidates":657,"agricultural_evidence":604},[658,664,669,676,681,686],{"code":263,"score":659,"supported":604,"title":660,"abstract":662,"tags":663},15,[661],"food security",[648,661],[648],{"code":192,"score":173,"supported":604,"title":665,"abstract":667,"tags":668},[666],"conservation agriculture",[],[],{"code":184,"score":670,"supported":604,"title":671,"abstract":672,"tags":675},7,[],[673,674],"气候变化","climate change",[650],{"code":496,"score":400,"supported":604,"title":677,"abstract":678,"tags":680},[],[679],"smallholder",[649],{"code":16,"score":620,"supported":604,"title":682,"abstract":683,"tags":685},[],[684],"smart agriculture",[],{"code":64,"score":620,"supported":604,"title":687,"abstract":688,"tags":690},[],[689],"研究方法",[],[692,693],"Marondera 气候智慧农业","津巴布韦 小农户 粮食安全","Marondera气候智慧农业-5475","10.71458\u002Fwby9rf15",{"doi":695,"openalex_id":697,"authors":698,"venue":640,"cited_by_count":424,"oa_url":11,"card":705,"direction":711,"ingested_from":712},"W7223010488",[699,702],{"name":700,"orcid":701},"Irony Mazuruse","https:\u002F\u002Forcid.org\u002F0009-0007-5600-7825",{"name":703,"orcid":704},"Judith Chokumanyara","https:\u002F\u002Forcid.org\u002F0009-0000-7386-9960",{"tldr":706,"method":707,"finding":708,"direction":709,"opportunity":710},"研究津巴布韦Marondera地区小农户采用气候智能型保护性农业对粮食安全的影响。","定性研究，访谈50名小农户、推广员、NGO代表等，并进行主题分析。","气候变化损害粮食安全四个维度，多方项目提升了社区抗灾韧性。","农业绿色发展与碳","可量化气候智能型保护性农业对粮食安全四维度的贡献，并评估数字推广工具在其中的作用。","智慧农业 \u002F 农业物联网","openalex","2026-10-21T23:30:08.757283Z",{"id":715,"title":716,"url":717,"summary":718,"summary_zh":719,"content":11,"source_name":720,"source_url":717,"published_at":721,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":424,"score_detail":722,"sources":724,"tags":726,"primary_topic":730,"secondary_topics":731,"classification":732,"search_phrases":750,"slug":753,"view_count":424,"doi":754,"paper":755,"created_at":765},5155,"Greening the economy and TVET in Ethiopia: policy, practice, and skills for sustainable transformation – a viewpoint","https:\u002F\u002Fdoi.org\u002F10.1080\u002F09614524.2026.2744299","Ethiopia has positioned itself as one of Africa’s leading countries in promoting a climate-resilient green economy through policy reform, renewable energy expansion, sustainable agriculture, and greening technical and vocational education and training (TVET). This viewpoint examines the intersection between Ethiopia’s green economy initiatives and the role of TVET in supporting sustainable development and green workforce transformation. Drawing on national policy frameworks, institutional practices, and selected implementation examples, the paper highlights achievements in renewable energy, climate-smart agriculture, waste management, urban greening, and green skills development. The paper argues that Ethiopia has established strong policy foundations through the Climate Resilient Green Economy Strategy, Nationally Determined Contributions, and TVET reforms. However, implementation challenges related to financing, infrastructure, institutional coordination, teacher capacity, and industry linkage continue to constrain progress. The article concludes that strengthening green skills development, innovation ecosystems, and institutional collaboration is essential for ensuring inclusive and sustainable green transformation in Ethiopia.","埃塞俄比亚通过政策改革、可再生能源扩张、可持续农业以及绿色化技术与职业教育培训（TVET），已将自身定位为非洲在推动气候适应型绿色经济方面的领先国家之一。本观点文章考察了埃塞俄比亚绿色经济举措与TVET在支持可持续发展和绿色劳动力转型中的作用之间的交汇点。文章基于国家政策框架、机构实践和选定的实施案例，重点介绍了在可再生能源、气候智慧型农业、废物管理、城市绿化和绿色技能开发方面取得的成就。文章认为，埃塞俄比亚已通过《气候适应型绿色经济战略》、国家自主贡献和TVET改革建立了坚实的政策基础。然而，与融资、基础设施、机构协调、教师能力和产业联系相关的实施挑战仍在制约进展。文章得出结论，加强绿色技能开发、创新生态系统和机构协作对于确保埃塞俄比亚实现包容和可持续的绿色转型至关重要。","Development in Practice","2026-10-15T00:00:00Z",{"impact":424,"substance":424,"depth":424,"authority":424,"freshness":424,"relevant":424,"comment":723},"主题为埃塞俄比亚绿色经济与职业教育政策观点，与三农、农业信息化、智慧农业无直接关联，不进入每日精选。",[725],{"name":720,"url":717},[727,728,729],"埃塞俄比亚","职业教育","绿色经济",{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},[],{"status":599,"locked":581,"version":4,"method":600,"evidence":733},{"candidates":734,"agricultural_evidence":604},[735,741,746],{"code":192,"score":585,"supported":604,"title":736,"abstract":737,"tags":740},[],[738,739],"可持续农业","sustainable agriculture",[],{"code":184,"score":620,"supported":604,"title":742,"abstract":743,"tags":745},[],[744],"气候适应",[],{"code":16,"score":620,"supported":604,"title":747,"abstract":748,"tags":749},[],[684],[],[751,752],"埃塞俄比亚 绿色经济 TVET","埃塞俄比亚 绿色经济 职业教育","埃塞俄比亚绿色经济TVET-5155","10.1080\u002F09614524.2026.2744299",{"doi":754,"openalex_id":756,"authors":757,"venue":720,"cited_by_count":424,"oa_url":11,"card":760,"direction":711,"ingested_from":712},"W7221860873",[758],{"name":759,"orcid":11},"Genene Abebe Tadesse",{"tldr":761,"method":762,"finding":763,"direction":709,"opportunity":764},"评述埃塞俄比亚绿色经济与职业技术教育融合的政策、实践与技能发展。","基于国家政策框架、机构实践与实施案例的视角性分析。","政策基础扎实，但融资、基础设施、师资与产业衔接制约绿色技能落地。","可研究气候智慧农业绿色技能需求与TVET课程衔接及产业协同机制。","2026-10-17T23:30:10.339009Z",{"id":767,"title":768,"url":769,"summary":770,"summary_zh":11,"content":11,"source_name":771,"source_url":11,"published_at":772,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":773,"score_detail":774,"sources":776,"tags":778,"primary_topic":784,"secondary_topics":785,"classification":787,"search_phrases":806,"slug":809,"view_count":455,"doi":11,"paper":11,"created_at":810},5047,"湖南农科院主办绿色高产水稻(镉低积累)品种技术研讨会在屈原管理区举行 洞庭湖生态农业产业研究院同步签约","http:\u002F\u002Fwww.hunaas.cn\u002Fshownews.asp?nid=17070","10月11日,湖南省农科院主办的绿色高产水稻(镉低积累)品种技术研讨会暨洞庭湖生态农业产业研究院签约仪式在岳阳市屈原管理区举行,柏连阳院士出席。\"西子3号\"作为首个通过国家审定的镉低积累水稻品种,\"臻两优8612\"实现大面积推广,镉低积累水稻累计推广超1000万亩。四方共建洞庭湖生态农业产业研究院,助力岳阳国家农业高新技术产业示范区创建。","湖南省农业科学院 2026年10月11日","2026-10-11T00:00:00Z",76,{"impact":321,"substance":508,"depth":659,"authority":584,"freshness":585,"relevant":455,"comment":775},"省级科研机构主办的镉低积累水稻技术研讨与四方共建研究院签约，含品种审定与千万亩推广等实质数据，具行业参考价值。",[777],{"name":771,"url":769},[779,780,781,782,783],"种业振兴","镉低积累水稻","院地合作","生态农业","水稻品种审定",{"code":208,"slug":209,"name":210,"path":211,"parent_code":200},[786],{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":788},{"candidates":789,"agricultural_evidence":604},[790,794,798,802],{"code":192,"score":416,"supported":604,"title":791,"abstract":792,"tags":793},[782],[782],[782],{"code":208,"score":524,"supported":604,"title":795,"abstract":796,"tags":797},[210],[210],[],{"code":80,"score":455,"supported":581,"title":799,"abstract":800,"tags":801},[],[],[779],{"code":488,"score":455,"supported":581,"title":803,"abstract":804,"tags":805},[],[],[781],[807,808],"湖南农科院 镉低积累水稻 西子3号","洞庭湖生态农业产业研究院 屈原管理区","湖南农科院镉低积累水稻西子3号-5047","2026-10-16T00:13:11.740773Z",{"id":812,"title":813,"url":814,"summary":815,"summary_zh":816,"content":11,"source_name":817,"source_url":814,"published_at":818,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":819,"score_detail":820,"sources":822,"tags":824,"primary_topic":830,"secondary_topics":831,"classification":832,"search_phrases":851,"slug":854,"view_count":455,"doi":855,"paper":856,"created_at":866},4562,"Readiness and resistance : institutional adaptation of REDD+ and climate-smart agriculture in Indigenous communities of Oaxaca, Mexico","https:\u002F\u002Fdoi.org\u002F10.14288\u002F1.0456557","The effectiveness of conservation initiatives in Indigenous territories depends not only on their technical design but also on how they interact with existing governance systems, institutions, livelihoods, and relationships. Despite growing recognition of Indigenous governance in conservation, limited attention has been given to how community institutions shape readiness and resistance to external interventions and influence their adaptation. This dissertation examines these intersections through the implementation of Reducing Emissions from Deforestation and Forest Degradation (REDD+) and associated Climate Smart Agriculture (CSA) practices in four Indigenous communities of Oaxaca, Mexico. Using a comparative case-study approach, the research engaged 73 participants, including community authorities, farmers, local leaders, REDD+ representatives, and implementing organizations. The study used semi-structured interviews, focus groups, household surveys, countryside visits, and community validation to examine participation in REDD+, Indigenous Governance Mechanisms, and the adaptation of conservation agriculture, agroforestry, and silvopastoral practices. The findings show that Indigenous communities were not passive recipients of REDD+ but active agents who evaluated, negotiated, adapted, or resisted interventions according to community priorities and governance processes. Readiness and resistance emerged not as opposing outcomes, but as interconnected expressions of the same governance process. Indigenous Governance Mechanisms, including the Community Assembly, Cargo system, Tequio, Guzona, and Descargo, mediated collective decision-making, responsibilities, accountability, and the legitimacy of external interventions. Conservation practices were more likely to persist when they aligned with community institutions, livelihoods, knowledge, and socio-ecological conditions; where this institutional fit was weak, participation became selective, temporary, or resistant. This dissertation contributes a governance-based understanding of conservation adaptation by showing that institutional compatibility is constructed through negotiation rather than secured through technical design alone. It also identifies sustained relationality among communities, institutions, territory, knowledge, and collective responsibilities as a condition that extends beyond formal collaboration. Therefore, the research reframes Indigenous readiness and resistance as expressions of adaptive governance and argues for conservation approaches that are co-developed through, rather than imposed upon, the institutions that already sustain community life and territorial management.","保护举措在原住民领地中的有效性不仅取决于其技术设计，还取决于它们如何与现有治理体系、制度、生计和关系互动。尽管原住民治理在保护领域日益受到认可，但关于社区制度如何塑造对外部干预的准备与抵制并影响其调适的关注仍然有限。本论文通过墨西哥瓦哈卡州四个原住民社区实施减少森林砍伐和森林退化所致排放（REDD+）及相关气候智能型农业（CSA）实践的案例，考察了这些交叉领域。研究采用比较案例研究方法，共有73名参与者，包括社区当局、农民、地方领袖、REDD+代表及实施机构。研究运用半结构化访谈、焦点小组、住户调查、田野走访和社区验证等方法，考察了REDD+参与、原住民治理机制以及保护性农业、农林业和林牧复合实践的调适。研究发现，原住民社区并非REDD+的被动接受者，而是积极的行动者，他们根据社区优先事项和治理过程对干预措施进行评估、协商、调适或抵制。准备与抵制并非对立的结果，而是同一治理过程的相互关联的表达。原住民治理机制，包括社区大会、 cargo制度、Tequio、Guzona和Descargo，调解了集体决策、责任、问责以及外部干预的合法性。当保护实践与社区制度、生计、知识和社会生态条件相契合时，其持续的可能性更大；当这种制度契合较弱时，参与便呈现选择性、暂时性或抵制性。本论文通过表明制度兼容性是通过协商建构的，而非仅靠技术设计就能确保的，为基于治理的保护调适理解做出了贡献。研究还识别出社区、制度、领地、知识和集体责任之间持续的关系性，这是一种超越正式合作的条件。因此，本研究将原住民的准备与抵制重新界定为调适的表达。","Open Collections","2026-10-09T00:00:00Z",68,{"impact":173,"substance":321,"depth":361,"authority":416,"freshness":173,"relevant":455,"comment":821},"以墨西哥瓦哈卡四个原住民社区为案例，揭示社区治理机制如何塑造对REDD+与气候智慧型农业的适应与抵制，对理解生态补偿项目落地与乡村治理有参考价值，但地域性强、与国内三农信息化关联偏弱。",[823],{"name":817,"url":814},[825,826,827,828,829],"气候智慧型农业","社区林业","REDD+","原住民治理","墨西哥瓦哈卡",{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},[],{"status":599,"locked":581,"version":4,"method":600,"evidence":833},{"candidates":834,"agricultural_evidence":604},[835,839,843,847],{"code":16,"score":524,"supported":604,"title":836,"abstract":837,"tags":838},[684],[684],[],{"code":192,"score":620,"supported":604,"title":840,"abstract":841,"tags":842},[],[666],[],{"code":64,"score":620,"supported":604,"title":844,"abstract":845,"tags":846},[],[689],[],{"code":184,"score":455,"supported":581,"title":848,"abstract":849,"tags":850},[],[],[825],[852,853],"REDD 瓦哈卡 原住民社区","气候智慧型农业 墨西哥 原住民","REDD瓦哈卡原住民社区-4562","10.14288\u002F1.0456557",{"doi":855,"openalex_id":857,"authors":858,"venue":817,"cited_by_count":424,"oa_url":814,"card":861,"direction":711,"ingested_from":712},"W7221163310",[859],{"name":860,"orcid":11},"Neftalí Hernández Martínez",{"tldr":862,"method":863,"finding":864,"direction":709,"opportunity":865},"研究墨西哥瓦哈卡原住民社区对REDD+和气候智慧农业的制度适应，揭示准备与抵抗的关联。","比较案例研究，73名参与者，半结构化访谈、焦点小组、家庭调查和社区验证。","准备与抵抗是同一治理过程的相互关联表达，制度契合度决定保护实践能否持续。","探究原住民治理机制与碳项目制度兼容性的协商过程，以及制度契合度对项目长期成效的影响。","2026-10-10T23:30:07.855815Z",{"id":868,"title":869,"url":870,"summary":871,"summary_zh":872,"content":11,"source_name":873,"source_url":870,"published_at":874,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":875,"score_detail":876,"sources":879,"tags":881,"primary_topic":886,"secondary_topics":887,"classification":889,"search_phrases":941,"slug":944,"view_count":455,"doi":945,"paper":946,"created_at":958},4528,"Integrating indigenous knowledge systems into regenerative agriculture for sustainable crop production in southern Africa","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs43621-026-04926-8","Abstract Agricultural production in Southern Africa is increasingly constrained by climate variability, declining soil fertility, water scarcity, biodiversity loss, and rising pest pressures, particularly within rain-fed smallholder farming systems. Indigenous Knowledge Systems (IKS), developed through generations of interaction between communities and local agroecosystems, offer context-specific approaches that align closely with the principles of regenerative agriculture. This review synthesizes evidence from 37 publications examining the contribution of IKS to sustainable crop production across Southern Africa. Particular attention is given to soil health, soil biological activity, water-use efficiency, ecological pest regulation, crop productivity, and climate resilience. The synthesis demonstrates that indigenous regenerative practices, including organic soil amendments, residue retention, crop diversification, intercropping, agroforestry, water harvesting, and botanical pest management, improve soil organic carbon, enhance microbial activity, increase water retention, and stabilize yields under climatic stress. Evidence further indicates that indigenous pest management strategies frequently maintain pest populations below economic injury thresholds, thereby reducing dependence on synthetic pesticides while supporting ecosystem services. The review highlights the convergence between IKS, agroecology, integrated pest management, conservation agriculture, and regenerative agriculture, and proposes pathways for integrating indigenous ecological indicators into decision-support systems, crop models, and precision agriculture technologies. Despite growing recognition of indigenous knowledge within sustainability and climate adaptation agendas, significant gaps remain in quantitative validation, longitudinal assessment, and integration into formal agricultural research and policy frameworks. The findings demonstrate that Indigenous Knowledge Systems constitute a scientifically credible and economically viable foundation for regenerative agriculture and contribute directly to Sustainable Development Goals 2 (Zero Hunger), 12 (Responsible Consumption and Production), 13 (Climate Action), and 15 (Life on Land). Strengthening the integration of indigenous and scientific knowledge systems will be essential for building resilient, productive, and sustainable agricultural systems across Southern Africa and the broader Global South.","摘要 南部非洲的农业生产日益受到气候变异性、土壤肥力下降、水资源短缺、生物多样性丧失和病虫害压力上升的制约，这在雨养小农耕作系统中尤为突出。本土知识体系（Indigenous Knowledge Systems, IKS）通过社区与地方农业生态系统数代互动而发展形成，提供了与再生农业原则高度契合的情境化方法。本综述综合了37篇文献的证据，考察了IKS在南部非洲可持续作物生产中的贡献。研究特别关注土壤健康、土壤生物活性、水分利用效率、生态病虫害调控、作物生产力及气候韧性。综合结果表明，本土再生实践——包括有机土壤改良、残茬保留、作物多样化、间作、农林业、集水和植物源病虫害管理——能够提高土壤有机碳、增强微生物活性、增加持水量并在气候胁迫下稳定产量。证据进一步表明，本土病虫害管理策略常能将病虫害种群维持在经济危害阈值以下，从而减少对合成农药的依赖，同时支持生态系统服务。本综述强调了IKS与农业生态学、病虫害综合治理、保护性农业和再生农业之间的趋同性，并提出了将本土生态指标纳入决策支持系统、作物模型和精准农业技术的路径。尽管本土知识在可持续发展和气候适应议程中日益受到认可，但在定量验证、长期评估以及纳入正式农业研究和政策框架方面仍存在显著空白。研究结果表明，本土知识体系构成了再生农业的科学可信且经济可行的基础，并直接有助于实现可持续发展目标2（零饥饿）、12（负责任消费和生产）、13（气候行动）和15（陆地生物）。加强本土知识与科学知识体系的整合，对于在南部非洲及更广泛的全球南方构建韧性、高产和可持续的农业系统至关重要。","Discover Sustainability","2026-10-08T00:00:00Z",75,{"impact":659,"substance":877,"depth":361,"authority":584,"freshness":173,"relevant":455,"comment":878},21,"综述整合37篇文献，论证土著知识对再生农业与气候韧性的科学价值，具区域政策参考意义。",[880],{"name":873,"url":870},[649,882,883,884,885],"气候韧性","土壤健康","再生农业","土著知识",{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},[888],{"code":176,"slug":177,"name":178,"path":179,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":890},{"candidates":891,"agricultural_evidence":604},[892,897,905,910,915,921,927,931,936],{"code":192,"score":361,"supported":604,"title":893,"abstract":895,"tags":896},[894],"regenerative agriculture",[884,666,894],[884],{"code":176,"score":615,"supported":604,"title":898,"abstract":899,"tags":904},[],[900,901,902,177,903],"生物多样性","农业生态","生态系统服务","agroecology",[],{"code":144,"score":670,"supported":604,"title":906,"abstract":907,"tags":909},[],[908,145],"土壤",[883],{"code":184,"score":670,"supported":604,"title":911,"abstract":912,"tags":914},[],[744,913],"climate resilience",[882],{"code":256,"score":585,"supported":604,"title":916,"abstract":917,"tags":920},[],[918,919],"间作","intercropping",[],{"code":16,"score":585,"supported":604,"title":922,"abstract":923,"tags":926},[],[924,925],"精准农业","precision agriculture",[],{"code":496,"score":400,"supported":604,"title":928,"abstract":929,"tags":930},[],[679],[649],{"code":104,"score":620,"supported":604,"title":932,"abstract":933,"tags":935},[],[934],"农药",[],{"code":152,"score":620,"supported":604,"title":937,"abstract":938,"tags":940},[],[939],"水资源",[],[942,943],"南部非洲 再生农业 土著知识","土著知识 土壤健康 小农户","南部非洲再生农业土著知识-4528","10.1007\u002Fs43621-026-04926-8",{"doi":945,"openalex_id":947,"authors":948,"venue":873,"cited_by_count":424,"oa_url":870,"card":952,"direction":957,"ingested_from":712},"W7220943031",[949],{"name":950,"orcid":951},"Albert Thembinkosi Modi","https:\u002F\u002Forcid.org\u002F0000-0002-6887-1721",{"tldr":953,"method":954,"finding":955,"direction":709,"opportunity":956},"综述37篇文献，论证南部非洲本土知识可支撑再生农业与可持续作物生产。","系统综述37篇文献，聚焦土壤、水分、病虫害与气候韧性。","本土再生实践能提升土壤碳、微生物活性与水分保持，稳定产量并减少农药依赖。","可将本土生态指标量化并嵌入作物模型与精准农业决策系统，填补长期验证空白。","农业人工智能与决策模型","2026-10-09T23:30:52.261674Z",{"id":960,"title":961,"url":962,"summary":963,"summary_zh":964,"content":11,"source_name":965,"source_url":962,"published_at":966,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":967,"score_detail":968,"sources":971,"tags":973,"primary_topic":978,"secondary_topics":979,"classification":982,"search_phrases":1023,"slug":1026,"view_count":455,"doi":1027,"paper":1028,"created_at":1040},4073,"Intelligent soil monitoring system for sustainable agriculture using TinyML and ultra-low power wireless sensor networks","https:\u002F\u002Fdoi.org\u002F10.35784\u002Fiapgos.9467","Precision agriculture demands continuous, energy-autonomous soil monitoring capable of detecting critical conditions such as rapid moisture loss or nutrient depletion approaching crop-threatening thresholds. Conventional wireless sensor networks face a fundamental trade-off between multi-year battery life and sub-second response latency, as duty-cycled polling wastes energy on idle queries while always-on communication remains infeasible for battery-powered field deployments spanning hundreds of acres. This work presents a novel integration of TinyML-based edge inference with a custom-designed 40 nm CMOS ultra-low power wake-up receiver (WuRX), enabling event-driven, asynchronous soil condition monitoring without reliance on periodic polling schedules. The proposed three-tier edge-fog-cloud architecture employs sensor nodes measuring moisture, temperature, pH, nitrogen, phosphorus, and potassium, with quantized neural networks trained and validated on 64,800 labelled samples collected from instrumented corn and soybean field deployments over 180 days, achieving a classification accuracy of 91.3% and F1-score of 93.0% at an inference energy cost of 0.87 mJ per cycle. Circuit-level simulations of the 40 nm CMOS WuRX confirm an input return loss of -15.8 dB, transmission gain of +18.2 dB, and power-added efficiency of 45.3% at -60 dBm sensitivity, with continuous standby consumption of 45–53 µW. System-level power budget analysis validates battery lifetimes of 200–300 days using 240 mAh lithium cells augmented by a 5 cm² monocrystalline solar harvester. Key limitations include the restriction of field validation to two crop types and dependence on adequate solar irradiance for energy-neutral operation. The proposed architecture reduces communication overhead by 80–90% relative to threshold-based systems, providing a practical framework for scalable, resource-constrained precision agriculture deployments.","精准农业需要能够持续、能源自主地监测土壤，以检测诸如水分快速流失或养分耗竭接近威胁作物阈值等关键状况。传统无线传感器网络面临多年电池寿命与亚秒级响应延迟之间的根本性权衡，因为占空比轮询会在空闲查询上浪费能量，而始终在线的通信对于覆盖数百英亩的电池供电田间部署而言仍不可行。本研究提出了一种新颖的集成方案，将基于TinyML的边缘推理与定制设计的40 nm CMOS超低功耗唤醒接收器（WuRX）相结合，实现事件驱动的异步土壤状况监测，而无需依赖周期性轮询调度。所提出的三层边缘-雾-云架构采用测量水分、温度、pH、氮、磷和钾的传感器节点，其量化神经网络在180天内从仪器化玉米和大豆田间部署中采集的64,800个标记样本上进行训练和验证，在每次推理周期能耗为0.87 mJ的情况下，实现了91.3%的分类准确率和93.0%的F1分数。对40 nm CMOS WuRX的电路级仿真证实，在-60 dBm灵敏度下，输入回波损耗为-15.8 dB，传输增益为+18.2 dB，功率附加效率为45.3%，连续待机功耗为45–53 µW。系统级功率预算分析验证了使用240 mAh锂电池并辅以5 cm²单晶硅太阳能收集器时，电池寿命可达200–300天。主要局限性包括田间验证仅限于两种作物类型，以及能量中性运行依赖充足的太阳辐照度。与基于阈值的系统相比，所提出的架构将通信开销降低了80–90%，为可扩展、资源受限的精准农业部署提供了实用框架。","Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska","2026-09-30T00:00:00Z",80,{"impact":361,"substance":321,"depth":969,"authority":584,"freshness":173,"relevant":455,"comment":970},19,"将TinyML边缘推理与40nm CMOS超低功耗唤醒接收机结合，实现事件驱动型土壤监测，实测数据扎实、能耗指标明确，对精准农业物联网部署有参考价值。",[972],{"name":965,"url":962},[974,975,924,976,977],"智慧农业","农业人工智能","无线传感器网络","土壤监测",{"code":48,"slug":49,"name":50,"path":51,"parent_code":7},[980,981],{"code":144,"slug":145,"name":146,"path":147,"parent_code":128},{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":983},{"candidates":984,"agricultural_evidence":604},[985,991,995,999,1003,1008,1014,1019],{"code":48,"score":659,"supported":604,"title":986,"abstract":988,"tags":990},[987],"wireless sensor",[989,987],"无线传感",[976],{"code":144,"score":345,"supported":604,"title":992,"abstract":993,"tags":994},[145],[908,145],[],{"code":192,"score":173,"supported":604,"title":996,"abstract":997,"tags":998},[739],[],[],{"code":16,"score":173,"supported":604,"title":1000,"abstract":1001,"tags":1002},[],[924,925],[974,924],{"code":224,"score":585,"supported":604,"title":1004,"abstract":1005,"tags":1007},[],[226,1006],"corn",[],{"code":232,"score":585,"supported":604,"title":1009,"abstract":1010,"tags":1013},[],[1011,1012],"大豆","soybean",[],{"code":112,"score":620,"supported":604,"title":1015,"abstract":1016,"tags":1018},[],[1017],"harvester",[],{"code":24,"score":455,"supported":581,"title":1020,"abstract":1021,"tags":1022},[],[],[975],[1024,1025],"TinyML 土壤监测","超低功耗 唤醒接收机 精准农业","TinyML土壤监测-4073","10.35784\u002Fiapgos.9467",{"doi":1027,"openalex_id":1029,"authors":1030,"venue":965,"cited_by_count":424,"oa_url":1034,"card":1035,"direction":711,"ingested_from":712},"W7214927134",[1031],{"name":1032,"orcid":1033},"Muhammad Ovais Akhter","https:\u002F\u002Forcid.org\u002F0000-0002-8928-4489","https:\u002F\u002Fph.pollub.pl\u002Findex.php\u002Fiapgos\u002Farticle\u002Fdownload\u002F9467\u002F5631",{"tldr":1036,"method":1037,"finding":1038,"direction":711,"opportunity":1039},"提出TinyML边缘推理与超低功耗唤醒接收机集成的土壤监测系统，实现事件驱动异步监测。","TinyML量化神经网络、40nm CMOS唤醒接收机、三层边缘-雾-云架构，6","分类准确率91.3%，通信开销降低80-90%，电池寿命200-300天。","可探索多作物多土壤类型泛化、无光照或弱光下能量收集与事件触发协同优化。","2026-10-03T23:30:17.793958Z",{"id":1042,"title":1043,"url":1044,"summary":1045,"summary_zh":1046,"content":11,"source_name":1047,"source_url":1044,"published_at":1048,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":329,"score_detail":1049,"sources":1052,"tags":1054,"primary_topic":1058,"secondary_topics":1059,"classification":1060,"search_phrases":1071,"slug":1074,"view_count":455,"doi":1075,"paper":1076,"created_at":1097},4053,"The parent effect and patriarchal gatekeeping: familial dynamics shaping youth sustainable agriculture entrepreneurship pathways in Zimbabwe","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1888230","Inroduction Youth sustainable agricultural entrepreneurship (SAE) in Sub-Saharan Africa is weakened not only by structural constraints but by familial dynamics that have received limited analytical attention. This study examines youth perceptions of how parental attitudes, resource gatekeeping, and patriarchal norms shape youth aspirations and entrepreneurial pathways in Hwedza District, Zimbabwe. Its central argument is that the parent effect - conceptualised as the ways youth perceive parental attitudes, resource control, and gatekeeping as shaping their agricultural entrepreneurship - constitutes a primary household-level constraint on youth SAE. Patriarchal gatekeeping is analysed as the gendered dimension of this parent effect, while the psychology of provisionality and the success tax are presented as supporting constructs specifying the mechanisms through which it operates. Methods The research employed an interpretivist case-study framework, relying on in-depth interviews and focus-group discussions with 32 youth participants and 15 key stakeholders across four wards. Data were analysed using Reflexive Thematic Analysis, guided by Positive Youth Development (PYD) Theory and Hart’s Ladder of Participation, adapted to the household domain as the analytical lens for examining how youth report these dynamics. Results Youth accounts indicate that parents are perceived as gatekeepers in resource allocations, and youth describe anticipatory discouragement from farming. These practices were reported by youth participants as confining them to the lower rungs of household participation, which they associated with erosion of competence, confidence, and connection. Discussion Based on youth accounts, the study suggests that youth agripreneurship interventions cannot treat the household as a passive delivery unit. The research contributes by centring the family as a primary arena of entrepreneurial contestation and by demonstrating the household as a participatory ladder where developmental outcomes are perceived by youth to be conditioned by parental gatekeeping. Implications point to household-centred interventions, formalised family land stewardship agreements, and youth-targeted financial instruments that bypass parental control.","引言 撒哈拉以南非洲的青年可持续农业创业（SAE）不仅受到结构性制约的削弱，还受到家庭动态的影响，而后者所获得的分析关注十分有限。本研究考察了津巴布韦Hwedza地区青年对父母态度、资源守门和父权制规范如何塑造其抱负与创业路径的感知。其核心论点是，父母效应——即青年所感知的父母态度、资源控制和守门行为对其农业创业的塑造方式——构成了家庭层面对青年可持续农业创业的首要制约。父权制守门被分析为这一父母效应的性别维度，而临时性心理与成功税则作为支撑性构念，用以具体说明其运作机制。方法 本研究采用解释主义案例研究框架，对四个选区的32名青年参与者和15名关键利益相关者进行了深度访谈和焦点小组讨论。数据分析采用反思性主题分析法，以积极青年发展（PYD）理论和哈特参与阶梯为指导，并将后者调适至家庭领域，作为分析透镜，用以考察青年如何报告这些动态。结果 青年的叙述表明，父母被视为资源分配中的守门人，青年描述了对务农的预期性劝阻。青年参与者报告称，这些做法将他们限制在家庭参与的低层级，他们将其与能力、信心和联结感的侵蚀联系在一起。讨论 基于青年的叙述，本研究表明，青年农业创业干预不能将家庭视为被动的执行单元。本研究的贡献在于将家庭置于创业争夺的首要场域，并揭示家庭作为一个参与阶梯，青年感知到其发展结果受到父母守门行为的制约。其启示指向以家庭为中心的干预措施、正式化的家庭土地管理协议，以及绕过父母控制的面向青年的金融工具。","Frontiers in Sustainable Food Systems","2026-10-02T00:00:00Z",{"impact":173,"substance":508,"depth":1050,"authority":584,"freshness":615,"relevant":455,"comment":1051},17,"以津巴布韦案例揭示家庭父权与资源把关对青年农业创业的抑制机制，方法扎实、结论有新意，但属区域微观研究，公共影响有限。",[1053],{"name":1047,"url":1044},[738,651,1055,1056,1057],"农户生计","青年农业创业","性别规范",{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},[],{"status":599,"locked":581,"version":4,"method":600,"evidence":1061},{"candidates":1062,"agricultural_evidence":604},[1063,1067],{"code":192,"score":416,"supported":604,"title":1064,"abstract":1065,"tags":1066},[739],[738],[738],{"code":527,"score":455,"supported":581,"title":1068,"abstract":1069,"tags":1070},[],[],[1055],[1072,1073],"青年农业创业 可持续农业 农户生计 性别规范","青年农业创业 可持续农业","青年农业创业可持续农业农户生计性别规范-4053","10.3389\u002Ffsufs.2026.1888230",{"doi":1075,"openalex_id":1077,"authors":1078,"venue":1047,"cited_by_count":424,"oa_url":1090,"card":1091,"direction":1095,"ingested_from":712},"W7216465950",[1079,1082,1084,1087],{"name":1080,"orcid":1081},"Tonderai James Nyagwaya","https:\u002F\u002Forcid.org\u002F0009-0004-2457-8023",{"name":1083,"orcid":11},"Matthew Marembo",{"name":1085,"orcid":1086},"Peter Mukarumbwa","https:\u002F\u002Forcid.org\u002F0000-0002-2387-9236",{"name":1088,"orcid":1089},"Precious Kuziva Hove","https:\u002F\u002Forcid.org\u002F0000-0001-5914-7531","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1888230\u002Fpdf",{"tldr":1092,"method":1093,"finding":1094,"direction":1095,"opportunity":1096},"研究津巴布韦青年视角下父母态度与父权把关如何制约其可持续农业创业路径。","解释主义案例研究，32名青年与15名利益相关者深度访谈及焦点小组，反思性主题分析","父母被视为资源把关者，青年预期性受挫，被限制在家庭参与低层级，削弱能力与信心。","数字乡村与农业信息化","可探索家庭层面干预与青年专属金融工具如何绕过父母控制，促进农业创业参与。","2026-10-03T23:30:08.285408Z",{"id":1099,"title":1100,"url":1101,"summary":1102,"summary_zh":1103,"content":11,"source_name":1047,"source_url":1101,"published_at":1104,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":967,"score_detail":1105,"sources":1107,"tags":1109,"primary_topic":1113,"secondary_topics":1114,"classification":1117,"search_phrases":1171,"slug":1174,"view_count":620,"doi":1175,"paper":1176,"created_at":1231},3759,"Synergistic interaction effects of precision phosphorus fertigation and residue management on productivity, profitability, and resource-use efficiency of wheat under conservation agriculture","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1944629","Phosphorus (P) management under conventional surface-broadcast application in calcareous soils of the Indo-Gangetic Plains (IGP) suffers from severe fixation losses, limiting phosphorus-use efficiency (PUE) to 10–25% and contributing to yield gaps in wheat, a globally important food security crops. A two-year (2023–24 and 2024–25) split-plot field experiment was conducted within a mid-term conservation agriculture (CA)-based maize-wheat-greengram system to evaluate nine phosphorus fertigation levels and split application schedules through subsurface drip fertigation (SSDF), combined with two residue management practices (retention: R+, no-retention: R-), on growth, yield, water productivity, economics, and resource-use efficiency and post-harvest available phosphorus of wheat (cv. HD 2967). Treatments included no-P (control), SSDF of P as DAP at 50, 75, and 100% of the recommended dose (RDP; 60 kg P 2 O 5 ha −1 ) applied either fully as basal (10 DAS) or split (10 and 25 DAS), along with a nano-DAP foliar spray, compared against conventional CA with flood irrigation and basal broadcast P (CA-FI-100% RDP-B). SSDF treatments consumed only 178–275 mm of total water input against 437–452 mm under flood irrigation. Among SSDF treatments, 100% RDP applied in two splits (100% RDP-2S) consistently recorded the highest growth attributes, grain yield (6.23 and 6.31 t ha −1 ), and economic returns (BCR: 1.8–2) across both years, improving grain yield by 10.6–11.5% and net returns by 13.7% over CA-FI-100% RDP-B. Notably, 75% RDP-2S was statistically comparable to 100% RDP-2S for yield and profitability, demonstrating that a 25% reduction in P dose under precision SSDF does not compromise productivity. Total and irrigation water productivity improved by 127.7 and 156.7%, respectively, under 100% RDP-2S over CA-FI-100% RDP-B. Residue retention further enhanced productivity, increasing grain yield by 14.0–15.0% and net returns by 26.4–27.5%. Post-harvest soil available P was 18.0 and 43.3% higher under SSDF than under CA-FI-100% RDP-B at 0–15 and 15–30 cm, respectively. The interaction of split P fertigation and residue retention was consistently superior for grain yield and water productivity. These findings establish 75–100% RDP delivered through split SSDF, combined with residue retention, as an agronomically superior, water-efficient, economically viable strategy for sustainable wheat intensification in the semi-arid IGPs.","在印度河-恒河平原（IGP）石灰性土壤上，常规地表撒施条件下的磷（P）管理面临严重的固定损失，导致磷利用效率（PUE）仅为10–25%，并造成小麦——一种全球重要的粮食安全作物——的产量差距。在中期保护性农业（CA）为基础的玉米-小麦-绿豆轮作体系中，开展了一项为期两年（2023–24和2024–25）的裂区田间试验，评估九种磷肥滴灌水平和分次施用方案通过地下滴灌施肥（SSDF）对小麦（品种HD 2967）生长、产量、水分生产力、经济效益、资源利用效率及收获后土壤有效磷的影响，并结合两种秸秆管理方式（还田：R+，不还田：R-）。处理包括：无磷（对照）、以DAP形式通过SSDF施用推荐施磷量（RDP；60 kg P₂O₅ ha⁻¹）的50%、75%和100%，分别以全部基施（播种后10天）或分次施用（播种后10天和25天），同时配合纳米DAP叶面喷施，并与常规保护性农业配合漫灌和基施撒施磷（CA-FI-100% RDP-B）进行比较。SSDF处理的总水分投入仅为178–275 mm，而漫灌条件下为437–452 mm。在SSDF处理中，100% RDP分两次施用（100% RDP-2S）在两年中均持续表现出最高的生长指标、籽粒产量（6.23和6.31 t ha⁻¹）和经济效益（BCR：1.8–2），较CA-FI-100% RDP-B分别提高籽粒产量10.6–11.5%和净收益13.7%。值得注意的是，75% RDP-2S在产量和盈利能力上与100% RDP-2S无统计学差异，表明在精准SSDF下减少25%的磷用量不会影响生产力。与CA-FI-100% RDP-B相比，100% RDP-2S处理下总水分生产力和灌溉水分生产力分别提高了127.7%和156.7%。秸秆还田进一步提高了生产力，使籽粒产量增加14.0–15.0%，净收益增加26.4–27.5%。收获后土壤有效磷在0–15 cm和15–30 cm土层中，SSDF较CA-FI-100% RDP-B分别高出18.0%和43.3%。分次磷肥滴灌与秸秆还田的交互作用在籽粒产量和水分生产力方面始终表现最优。这些研究结果表明，通过分次SSDF施用75–100% RDP并结合秸秆还田，是一种农艺上优越、水分高效、经济可行的策略，可用于半干旱印度河-恒河平原小麦的可持续集约化生产。","2026-09-28T00:00:00Z",{"impact":361,"substance":321,"depth":361,"authority":584,"freshness":615,"relevant":455,"comment":1106},"两年田间试验证实分次地下滴灌施磷配合秸秆还田可减磷25%并显著提升小麦产量与水肥利用效率，数据扎实、结论可靠，对半干旱地区精准水肥管理有直接参考价值。",[1108],{"name":1047,"url":1101},[974,1110,218,1111,1112],"精准施肥","保护性耕作","水肥一体化",{"code":216,"slug":217,"name":218,"path":219,"parent_code":200},[1115,1116],{"code":96,"slug":97,"name":98,"path":99,"parent_code":72},{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":1118},{"candidates":1119,"agricultural_evidence":604},[1120,1127,1131,1135,1139,1143,1147,1152,1157,1162,1167],{"code":96,"score":1121,"supported":604,"title":1122,"abstract":1124,"tags":1126},16,[1123],"fertigation",[1125,1123],"施肥",[1112,1110],{"code":216,"score":659,"supported":604,"title":1128,"abstract":1129,"tags":1130},[217],[218,217],[218],{"code":192,"score":416,"supported":604,"title":1132,"abstract":1133,"tags":1134},[666],[666],[1111],{"code":224,"score":585,"supported":604,"title":1136,"abstract":1137,"tags":1138},[],[226,225],[],{"code":263,"score":585,"supported":604,"title":1140,"abstract":1141,"tags":1142},[],[648,661],[],{"code":144,"score":585,"supported":604,"title":1144,"abstract":1145,"tags":1146},[],[908,145],[],{"code":152,"score":585,"supported":604,"title":1148,"abstract":1149,"tags":1151},[],[1150,153],"灌溉",[],{"code":256,"score":620,"supported":604,"title":1153,"abstract":1154,"tags":1156},[],[1155],"轮作",[],{"code":168,"score":620,"supported":604,"title":1158,"abstract":1159,"tags":1161},[],[1160],"秸秆还田",[],{"code":184,"score":620,"supported":604,"title":1163,"abstract":1164,"tags":1166},[],[1165],"干旱",[],{"code":16,"score":455,"supported":581,"title":1168,"abstract":1169,"tags":1170},[],[],[974],[1172,1173],"地下滴灌 磷肥 小麦","保护性耕作 秸秆还田 小麦","地下滴灌磷肥小麦-3759","10.3389\u002Ffsufs.2026.1944629",{"doi":1175,"openalex_id":1177,"authors":1178,"venue":1047,"cited_by_count":424,"oa_url":1101,"card":1226,"direction":711,"ingested_from":712},"W7214579192",[1179,1181,1184,1186,1188,1190,1192,1195,1197,1199,1201,1203,1205,1208,1210,1212,1215,1218,1221,1224],{"name":1180,"orcid":11},"Kadagonda Nithinkumar",{"name":1182,"orcid":1183},"Anchal Dass","https:\u002F\u002Forcid.org\u002F0000-0003-3909-1803",{"name":1185,"orcid":11},"Devika A. R.",{"name":1187,"orcid":11},"Arjun Singh",{"name":1189,"orcid":11},"Susama Sudhishri",{"name":1191,"orcid":11},"Vinod Kumar Singh",{"name":1193,"orcid":1194},"Sanjay Singh Rathore","https:\u002F\u002Forcid.org\u002F0000-0001-6725-1478",{"name":1196,"orcid":11},"Sarvendra Kumar",{"name":1198,"orcid":11},"Teekam Singh",{"name":1200,"orcid":11},"Jitendra Rajput",{"name":1202,"orcid":11},"Pravin Kumar Upadhyaya",{"name":1204,"orcid":11},"R. N. Sahoo",{"name":1206,"orcid":1207},"ARPULA SAIRAM","https:\u002F\u002Forcid.org\u002F0009-0009-9034-6032",{"name":1209,"orcid":11},"Aye Aye San",{"name":1211,"orcid":11},"K. S. Sachin",{"name":1213,"orcid":1214},"Mummasani Asritha","https:\u002F\u002Forcid.org\u002F0009-0002-4619-9943",{"name":1216,"orcid":1217},"Ramanjit Kaur","https:\u002F\u002Forcid.org\u002F0000-0001-5117-050X",{"name":1219,"orcid":1220},"Mona Nagargade","https:\u002F\u002Forcid.org\u002F0000-0003-1062-512X",{"name":1222,"orcid":1223},"Vishal Tyagi","https:\u002F\u002Forcid.org\u002F0000-0001-5593-3076",{"name":1225,"orcid":11},"Subhash Babu",{"tldr":1227,"method":1228,"finding":1229,"direction":711,"opportunity":1230},"研究保护性农业下精准磷肥滴灌与秸秆还田对小麦产量、收益和资源效率的协同效应。","两年裂区田间试验，地下滴灌分次施磷与秸秆还田处理，测产量、水生产力与经济指标。","75–100%推荐磷量分次滴灌配秸秆还田可增产10%以上、节水超一倍且不减产。","可探索基于土壤磷素实时监测的变量施磷决策模型，并与秸秆还田互作机制结合优化。","2026-09-29T23:30:06.859116Z",{"id":1233,"title":1234,"url":1235,"summary":1236,"summary_zh":1237,"content":11,"source_name":1238,"source_url":1235,"published_at":1104,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":1239,"score_detail":1240,"sources":1242,"tags":1244,"primary_topic":1249,"secondary_topics":1250,"classification":1252,"search_phrases":1286,"slug":1289,"view_count":455,"doi":1290,"paper":1291,"created_at":1326},3756,"Improving soil carbon stabilization within conservation agriculture: An adaptive framework","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104980","CONTEXT Conservation agriculture (CA) is widely promoted for improving soil ecosystem services, including erosion reduction, water conservation, and soil health. Its contribution to soil organic carbon (SOC) restoration, however, is variable, often modest and concentrated near the surface and strongly dependent on climate, soil, residue management and cropping system. OBJECTIVE To examine why SOC stabilization under CA is limited in some systems and to propose an adaptive framework that increases the probability that crop-residue carbon (CR-C) and root-derived C are converted into more stable SOC pools. METHODS We synthesize evidence on CR-C fate, root-derived C, SOC fractions, nutrient stoichiometry and soil-profile placement, under CA and organize this evidence into a diagnosis-based adaptive framework that links intervention choice with evidence strength, operational feasibility and trade-offs. RESULTS AND CONCLUSIONS A central limitation is the low but highly variable conversion of aboveground CR-C into stabilized SOC, governed by soil texture, mineralogy, climate, residue quality, nutrient availability, rooting depth and time since CA adoption. We propose an adaptive CA framework with six optional, evidence-graded interventions triggered by diagnosed SOC-stabilization bottlenecks: (1) residue retention thresholds to avoid a “problem of plenty”; (2) conditional strategic soil disturbance for compaction, surface stratification and C placement; (3) companion crops that improve residue amount, quality and root inputs; (4) breeding and selection for root traits for deeper C delivery and SOC stabilization; (5) fertilization strategies that better align decomposition with microbial stoichiometric needs while considering trade-offs; and (6) fungal consortia to accelerate lignocellulose breakdown where field conditions support residue turnover without increasing C losses. Together these interventions provide an adaptive extension of CA that can improve the likelihood of measurable and more durable SOC stabilization where specific bottlenecks are diagnosed. SIGNIFICANCE Options exist to strengthen the SOC-stabilization component of CA where site-specific bottlenecks are present, while explicitly considering feasibility, costs, trade-offs and the need for empirical validation through long-term monitoring of whole-profile SOC stocks and greenhouse-gas outcomes.","背景 保护性农业（conservation agriculture, CA）被广泛推广以改善土壤生态系统服务，包括减少侵蚀、保持水分和促进土壤健康。然而，其对土壤有机碳（soil organic carbon, SOC）恢复的贡献具有变异性，通常较为有限，且集中于表层，并高度依赖气候、土壤、秸秆管理和种植制度。目的 探讨保护性农业下SOC稳定化在某些系统中受限的原因，并提出一个适应性框架，以提高作物秸秆碳（crop-residue carbon, CR-C）和根系来源碳转化为更稳定SOC库的概率。方法 我们综合了保护性农业下关于作物秸秆碳去向、根系来源碳、SOC组分、养分化学计量学及土壤剖面分布的证据，并将这些证据组织为一个基于诊断的适应性框架，将干预措施选择与证据强度、操作可行性和权衡取舍相联系。结果与结论 一个核心局限在于地上作物秸秆碳向稳定化SOC的转化率低且高度可变，受土壤质地、矿物学、气候、秸秆质量、养分有效性、根系深度及保护性农业采用时间等因素调控。我们提出了一个适应性保护性农业框架，包含六项可选的、按证据分级排序的干预措施，由诊断出的SOC稳定化瓶颈所触发：（1）秸秆还田阈值以避免“过多的问题”；（2）针对压实、表层分层和碳 placement 的条件性战略土壤扰动；（3）改善秸秆数量、质量和根系输入的伴生作物；（4）选育和筛选根系性状以实现更深层的碳输送和SOC稳定化；（5）施肥策略，在考虑权衡取舍的同时更好地使分解过程与微生物化学计量需求相匹配；（6）在田间条件支持秸秆周转且不增加碳损失的情况下，利用真菌菌群加速木质纤维素分解。这些干预措施共同构成了保护性农业的适应性延伸，在诊断出特定瓶颈的情况下，可提高实现可测量且更持久SOC稳定化的可能性。意义 在存在特定地点瓶颈的情况下，现有方案可强化保护性农业的SOC稳定化功能，同时需明确考虑可行性、成本、权衡取舍，以及通过长期监测全剖面SOC储量和温室气体排放结果进行实证验证的必要性。","Agricultural Systems",79,{"impact":1121,"substance":321,"depth":361,"authority":345,"freshness":615,"relevant":455,"comment":1241},"该研究提出基于诊断的保护性农业自适应框架，为提升土壤有机碳稳定提供可操作路径，专业深度与信息增量突出，值得进入每日精选。",[1243],{"name":1238,"url":1235},[1245,883,1246,1247,1248],"保护性农业","农业碳汇","土壤固碳","根际性状",{"code":144,"slug":145,"name":146,"path":147,"parent_code":128},[1251],{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":1253},{"candidates":1254,"agricultural_evidence":604},[1255,1259,1263,1269,1274,1278,1282],{"code":144,"score":1121,"supported":604,"title":1256,"abstract":1257,"tags":1258},[145],[908,145],[883,1247],{"code":192,"score":416,"supported":604,"title":1260,"abstract":1261,"tags":1262},[666],[666],[1245],{"code":324,"score":585,"supported":604,"title":1264,"abstract":1265,"tags":1268},[],[1266,1267],"温室","greenhouse",[],{"code":96,"score":585,"supported":604,"title":1270,"abstract":1271,"tags":1273},[],[1125,1272],"fertilization",[],{"code":168,"score":620,"supported":604,"title":1275,"abstract":1276,"tags":1277},[],[1160],[],{"code":176,"score":620,"supported":604,"title":1279,"abstract":1280,"tags":1281},[],[902],[],{"code":160,"score":455,"supported":581,"title":1283,"abstract":1284,"tags":1285},[],[],[1246],[1287,1288],"保护性农业 土壤有机碳 固碳","保护性农业 根际性状 碳稳定","保护性农业土壤有机碳固碳-3756","10.1016\u002Fj.agsy.2026.104980",{"doi":1290,"openalex_id":1292,"authors":1293,"venue":1238,"cited_by_count":424,"oa_url":1235,"card":1321,"direction":709,"ingested_from":712},"W7214662811",[1294,1297,1300,1302,1305,1308,1310,1313,1316,1319],{"name":1295,"orcid":1296},"Anupam Das","https:\u002F\u002Forcid.org\u002F0000-0001-6548-215X",{"name":1298,"orcid":1299},"Ashim Datta","https:\u002F\u002Forcid.org\u002F0000-0002-1843-9981",{"name":1301,"orcid":11},"Samrat Ghosh",{"name":1303,"orcid":1304},"Sahely Kanthal","https:\u002F\u002Forcid.org\u002F0000-0001-6550-5227",{"name":1306,"orcid":1307},"Anwesha Mandal","https:\u002F\u002Forcid.org\u002F0009-0003-0113-211X",{"name":1309,"orcid":11},"Dibyendu Sarkar",{"name":1311,"orcid":1312},"Probir Kumar Ghosh","https:\u002F\u002Forcid.org\u002F0000-0003-1580-5883",{"name":1314,"orcid":1315},"Richard William Bell","https:\u002F\u002Forcid.org\u002F0000-0002-7756-3755",{"name":1317,"orcid":1318},"Debashis Chakraborty","https:\u002F\u002Forcid.org\u002F0000-0001-9664-8095",{"name":1320,"orcid":11},"Biswapati Mandal",{"tldr":1322,"method":1323,"finding":1324,"direction":709,"opportunity":1325},"提出诊断式自适应保护性农业框架，提升秸秆与根系碳向稳定土壤有机碳的转化。","综合秸秆碳去向、根系碳、有机碳组分与养分化学计量证据，构建六项分级干预框架。","保护性农业固碳受质地、气候、残体质量等制约，需按诊断瓶颈选择干预以提升稳定性。","可针对不同土壤-气候区量化各干预的固碳效率与权衡，并开展全剖面长期监测验证。","2026-09-29T23:30:04.622148Z",{"id":1328,"title":1329,"url":1330,"summary":1331,"summary_zh":1332,"content":11,"source_name":1333,"source_url":1330,"published_at":1334,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":1335,"score_detail":1336,"sources":1339,"tags":1341,"primary_topic":1347,"secondary_topics":1348,"classification":1349,"search_phrases":1379,"slug":1382,"view_count":620,"doi":1383,"paper":1384,"created_at":1396},3365,"The Impact of Agricultural Digitization on Green Total Factor Productivity in Agriculture: Evidence from 30 Provinces in China","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu18199758","Amid tighter resource and environmental limits in China, the integration of digitization and greening gives new momentum to sustainable agriculture; however, its methods and structural conditions remain unclear. This study utilizes provincial panel data from 2011–2023 and the super-efficiency SBM-GML model to estimate agricultural green total factor productivity (AGTFP). It empirically examines the green empowerment effect of agricultural digitization, its transmission pathways, and structural boundaries. Unlike existing studies that rely on input-oriented or rural-level digitalization measures and qualitative regional groupings, this study constructs an agriculture-specific index, identifies agricultural socialized services (ASS) as an organizational channel, examines the moderating role of environmental regulation, and uses a continuous threshold variable to identify the structural breakpoint at which digitization’s green effect changes. The findings indicate that digitization considerably enhances AGTFP, and this association remains stable across a range of robustness checks. Mechanism analysis indicates that ASS partially mediates this effect, while environmental regulation intensity positively moderates the relationship. Heterogeneity and threshold analyses show that the empowering effect is only significant in the eastern region, but not in the central and western regions; it is significant in the main grain-producing areas. Moreover, a tentative structural breakpoint is identified when the grain-sown area proportion reaches 0.486. Since this threshold is statistically significant only at the 10% level, it should be regarded as preliminary evidence. Accordingly, we recommend regionally differentiated digital agriculture strategies, strengthening the socialized agricultural service system, and enhancing synergy between environmental regulation and digital empowerment to effectively advance the green transformation of China’s agriculture.","在中国资源与环境约束趋紧的背景下，数字化与绿色化的融合为可持续农业注入了新动力；然而，其实现路径与结构性条件仍不明确。本研究利用2011—2023年省级面板数据和超效率SBM-GML模型测算农业绿色全要素生产率（AGTFP），实证检验了农业数字化的绿色赋能效应、传导路径及结构边界。与现有研究依赖投入导向或农村层面数字化指标以及定性区域分组不同，本研究构建了农业专属指数，识别出农业社会化服务（ASS）作为组织化渠道，考察了环境规制的调节作用，并使用连续门槛变量识别数字化绿色效应发生变化的结构性断点。研究发现，数字化显著提升了AGTFP，且该关联在一系列稳健性检验中保持稳定。机制分析表明，ASS在其中发挥部分中介作用，而环境规制强度正向调节该关系。异质性与门槛分析显示，赋能效应仅在东部地区显著，在中西部地区不显著；在粮食主产区显著。此外，当粮食播种面积占比达到0.486时，识别出一个初步的结构性断点。由于该门槛仅在10%水平上统计显著，应将其视为初步证据。据此，我们建议采取区域差异化的数字农业策略，强化农业社会化服务体系，并增强环境规制与数字赋能之间的协同效应，以有效推进中国农业绿色转型。","Sustainability","2026-09-23T00:00:00Z",85,{"impact":321,"substance":1337,"depth":361,"authority":345,"freshness":173,"relevant":455,"comment":1338},23,"基于30省面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文且时效性一般，适合主题聚合而非每日精选头条。",[1340],{"name":1333,"url":1330},[1342,1343,1344,1345,1346],"农业绿色发展","农业数字化","粮食主产区","农业社会化服务","环境规制",{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},[],{"status":599,"locked":581,"version":4,"method":600,"evidence":1350},{"candidates":1351,"agricultural_evidence":604},[1352,1356,1362,1367,1371,1375],{"code":192,"score":670,"supported":604,"title":1353,"abstract":1354,"tags":1355},[],[738,739],[1342],{"code":16,"score":670,"supported":604,"title":1357,"abstract":1358,"tags":1361},[],[1359,1360],"数字农业","digital agriculture",[1343],{"code":496,"score":400,"supported":604,"title":1363,"abstract":1364,"tags":1366},[],[1365],"社会化服务",[1345],{"code":263,"score":455,"supported":581,"title":1368,"abstract":1369,"tags":1370},[],[],[1344],{"code":160,"score":455,"supported":581,"title":1372,"abstract":1373,"tags":1374},[],[],[1342],{"code":7,"score":455,"supported":581,"title":1376,"abstract":1377,"tags":1378},[],[],[1343],[1380,1381],"农业数字化 绿色全要素生产率","农业社会化服务 环境规制","农业数字化绿色全要素生产率-3365","10.3390\u002Fsu18199758",{"doi":1383,"openalex_id":1385,"authors":1386,"venue":1333,"cited_by_count":424,"oa_url":1330,"card":1391,"direction":1095,"ingested_from":712},"W7214071788",[1387,1389],{"name":1388,"orcid":11},"Zhaojuan Meng",{"name":1390,"orcid":11},"Guixiang Lin",{"tldr":1392,"method":1393,"finding":1394,"direction":709,"opportunity":1395},"基于2011–2023年省级面板数据，检验农业数字化对农业绿色全要素生产率的赋能效应、机制与结构边界","超效率SBM-GML测算AGTFP，构建农业专属数字化指数，中介、调节与连续门槛","数字化显著提升AGTFP，农业社会化服务部分中介，环境规制正向调节，效应仅东部和主产区显著。","可深入探究中西部数字化绿色效应缺失的组织与市场条件，并验证粮食播种面积占比0.486的结构断点。","2026-09-24T23:30:25.917176Z",{"id":1398,"title":1399,"url":1400,"summary":1401,"summary_zh":1402,"content":11,"source_name":1403,"source_url":1400,"published_at":1334,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":1404,"score_detail":1405,"sources":1407,"tags":1409,"primary_topic":1413,"secondary_topics":1414,"classification":1417,"search_phrases":1443,"slug":1446,"view_count":173,"doi":1447,"paper":1448,"created_at":1468},3355,"AI and Sustainable Agriculture Through Cost–Benefit Analysis of Smart Irrigation Systems","https:\u002F\u002Fdoi.org\u002F10.22004\u002Fag.econ.412813","The advancing role of Artificial Intelligence (AI) and its application in agriculture have disrupted traditional agricultural practices, with smart irrigation systems representing one of the leading technologies enabling sustainable agriculture. Smart irrigation systems utilize real–time data, machine learning algorithms, and predictive analytics to better optimize irrigation water use, limit wasted resources, and improve the yields of crop products. The proposed research will assess the economic and environmental impacts of AI smart irrigation systems with a full costs–benefits analysis. The proposed research considers both the capital cost and operating cost of smart irrigation systems and compares these traditional irrigation practices while also examining the long–term benefits of potential water savings from Smart Irrigation Systems, expanded agricultural production, and reduced human labour. This will give context for measuring the impacts of Smart Irrigation Systems on farm businesses, including both opportunities and barriers to adoption. Additionally, using a formal literature review to lock down existing research and surveys of irrigation farmers to collect a field data set will provide the proposed researchers a collective sample to measure the efficacy of AI smart irrigation systems, identify barriers, compare opportunities, and measure performance under differing climate and soil properties. The research will find high and substantial respective levels of benefits from the implementation of AI–based smart systems, particularly in water–stressed systems with positive impacts on farm profitability, private, and environmental conservation. This research is essential for informing stakeholders of actions and the delivery of AI–enabled solutions in support of more sustainable agricultural practices.","人工智能（Artificial Intelligence, AI）的不断发展及其在农业中的应用已经颠覆了传统的农业实践，其中智能灌溉系统是实现可持续农业的领先技术之一。智能灌溉系统利用实时数据、机器学习算法和预测分析，更好地优化灌溉用水、减少资源浪费并提高作物产量。拟议研究将通过全面的成本效益分析，评估AI智能灌溉系统的经济和环境影响。该研究将综合考虑智能灌溉系统的资本成本和运营成本，并将其与传统灌溉实践进行比较，同时考察智能灌溉系统在潜在节水、扩大农业生产和减少人力劳动方面的长期效益。这将为衡量智能灌溉系统对农场经营的影响提供背景，包括采用的机会和障碍。此外，通过正式文献综述锁定现有研究成果，并对灌溉农户进行调查以收集实地数据集，将为拟议研究者提供一个集体样本，用以衡量AI智能灌溉系统的效能、识别障碍、比较机会，并评估在不同气候和土壤条件下的表现。研究发现，实施基于AI的智能系统可带来显著且可观的效益，尤其是在水资源紧张的地区，对农场盈利能力、私人利益和环境保护均有积极影响。这项研究对于向利益相关者通报行动方案以及推动AI赋能解决方案以支持更可持续的农业实践至关重要。","AgEcon Search (University of Minnesota, USA)",77,{"impact":361,"substance":508,"depth":361,"authority":584,"freshness":173,"relevant":455,"comment":1406},"该研究以成本效益分析评估AI智能灌溉的经济与环境效益，方法系统、结论具参考价值，但属学术论文而非政策或产业事件，适合作为智慧农业主题的深度补充。",[1408],{"name":1403,"url":1400},[974,975,1410,1411,1412],"智能灌溉","节水农业","成本效益分析",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[1415,1416],{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"code":24,"slug":25,"name":26,"path":27,"parent_code":7},{"status":599,"locked":581,"version":4,"method":600,"evidence":1418},{"candidates":1419,"agricultural_evidence":604},[1420,1424,1428,1435,1439],{"code":152,"score":969,"supported":604,"title":1421,"abstract":1422,"tags":1423},[153],[1150,939,153],[1410,1411],{"code":192,"score":345,"supported":604,"title":1425,"abstract":1426,"tags":1427},[739],[738,739],[],{"code":24,"score":385,"supported":604,"title":1429,"abstract":1430,"tags":1434},[],[1431,1432,1433],"机器学习","machine learning","artificial intelligence",[975],{"code":144,"score":585,"supported":604,"title":1436,"abstract":1437,"tags":1438},[],[908,145],[],{"code":16,"score":455,"supported":581,"title":1440,"abstract":1441,"tags":1442},[],[],[974],[1444,1445],"AI 智能灌溉 成本效益","AgEcon Search 智能灌溉","AI智能灌溉成本效益-3355","10.22004\u002Fag.econ.412813",{"doi":1447,"openalex_id":1449,"authors":1450,"venue":1403,"cited_by_count":424,"oa_url":1400,"card":1463,"direction":711,"ingested_from":712},"W7214115789",[1451,1453,1455,1457,1459,1461],{"name":1452,"orcid":11},"Venkata Suman Jami",{"name":1454,"orcid":11},"Purushotham Prasad Kalisetti",{"name":1456,"orcid":11},"Sampath Dakshina Murthy A.",{"name":1458,"orcid":11},"Gurunadha R.",{"name":1460,"orcid":11},"Hema Mamidipaka",{"name":1462,"orcid":11},"Gurrapu Omprakash",{"tldr":1464,"method":1465,"finding":1466,"direction":711,"opportunity":1467},"通过成本效益分析评估AI智能灌溉系统的经济与环境影响。","文献综述结合灌溉农户调查数据，进行成本效益分析。","AI智能灌溉在水资源紧张地区效益显著，提升利润并促进环保。","可针对不同气候土壤条件，量化AI灌溉的长期采纳障碍与推广机制。","2026-09-24T23:30:10.558578Z",{"id":1470,"title":1471,"url":1472,"summary":1473,"summary_zh":1474,"content":11,"source_name":1475,"source_url":1472,"published_at":1334,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":93,"score_detail":1476,"sources":1478,"tags":1480,"primary_topic":1484,"secondary_topics":1485,"classification":1486,"search_phrases":1502,"slug":1505,"view_count":620,"doi":1506,"paper":1507,"created_at":1524},3283,"INNOVATIVE APPROACHES TO SUSTAINABLE AGRICULTURE: STRATEGY FOR EMPOWERING WOMEN FARMERS IN RESOURCE LIMITED RURAL COMMUNITIES IN SLEMAN, INDONESIA","https:\u002F\u002Fdoi.org\u002F10.20961\u002Fsepa.v23i2.113220","Sustainable agriculture has become a critical framework for addressing food security challenges, particularly in resource-limited rural communities where women farmer groups play a pivotal yet underexplored role in sustaining local food systems. This research aims to examine the role of the Bukle Women Farmer Group (WFG Bukle) in advancing sustainable agriculture through strategic innovations despite resource limitations. Conducted in Klegung Hamlet, Donokerto Village, Sleman Regency, this study adopts a mixed-method case study approach involving eleven purposively selected key informants: one group leader, one deputy leader, seven active members of WFG Bukle, and two non-member community participants. Data were collected through surveys, semi-structured interviews, field observations, and Focus Group Discussions (FGDs) to evaluate farming practices and land use. The findings place WFG Bukle in Quadrant IV of the Internal-External (IE) matrix, indicating strong internal potential (IFE = 3.04) alongside moderate external challenges (EFE = 2.51). Through SWOT-based strategies and a Quantitative Strategic Planning Matrix (QSPM), three priority strategies emerged: empowering women in sustainable farm management (TAS = 5.49), strengthening collaboration with academic and governmental institutions (TAS = 5.09), and improving financial access for farmer groups (TAS = 5.00). The study highlights the importance of eco-friendly farming, technological access, and market linkages in enhancing food security and economic resilience. Strengthening women's roles in decision-making and financial management is crucial for sustainable agriculture, underscoring the need for gender-inclusive policies and cross-sector collaboration to support long-term rural development.","可持续农业已成为应对粮食安全挑战的关键框架，在资源有限的农村社区尤为如此，在这些社区中，女性农民小组在维持地方粮食系统方面发挥着关键但尚未被充分探索的作用。本研究旨在考察布克勒女性农民小组（WFG Bukle）在资源有限的条件下通过战略创新推动可持续农业发展的作用。研究在斯莱曼县多诺克托村克莱贡哈姆雷特开展，采用混合方法案例研究，涉及十一名有目的选取的关键信息提供者：一名小组组长、一名副组长、七名WFG Bukle活跃成员以及两名非成员社区参与者。数据通过问卷调查、半结构化访谈、实地观察和焦点小组讨论（FGD）收集，以评估耕作实践和土地利用情况。研究结果表明，WFG Bukle位于内部-外部（IE）矩阵第四象限，表明其具有较强的内部潜力（IFE = 3.04），同时面临中等程度的外部挑战（EFE = 2.51）。通过基于SWOT的策略和定量战略规划矩阵（QSPM），研究得出三项优先策略：赋权女性参与可持续农场管理（TAS = 5.49）、加强与学术机构和政府机构的合作（TAS = 5.09）、改善农民小组的融资渠道（TAS = 5.00）。本研究强调了生态友好型耕作、技术获取和市场联结在增强粮食安全和经济韧性方面的重要性。强化女性在决策和财务管理中的作用对可持续农业至关重要，凸显了制定性别包容政策和开展跨部门合作以支持农村长期发展的必要性。","SEPA Jurnal Sosial Ekonomi Pertanian dan Agribisnis",{"impact":173,"substance":361,"depth":659,"authority":416,"freshness":385,"relevant":455,"comment":1477},"以印尼Sleman地区女性农户组织为案例，用IE矩阵、SWOT与QSPM提出可持续农业赋权策略，方法规范但属地方性小样本研究，公共影响有限。",[1479],{"name":1475,"url":1472},[648,738,1481,1482,1483],"农村发展","女性农户","SWOT分析",{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},[],{"status":599,"locked":581,"version":4,"method":600,"evidence":1487},{"candidates":1488,"agricultural_evidence":604},[1489,1493,1497],{"code":192,"score":659,"supported":604,"title":1490,"abstract":1491,"tags":1492},[739],[738,739],[738],{"code":263,"score":670,"supported":604,"title":1494,"abstract":1495,"tags":1496},[],[648,661],[648],{"code":480,"score":400,"supported":604,"title":1498,"abstract":1499,"tags":1501},[],[1500],"rural development",[1481],[1503,1504],"Sleman 女性农户 可持续农业","印尼 妇女农户组织 粮食安全","Sleman女性农户可持续农业-3283","10.20961\u002Fsepa.v23i2.113220",{"doi":1506,"openalex_id":1508,"authors":1509,"venue":1475,"cited_by_count":424,"oa_url":1472,"card":1519,"direction":957,"ingested_from":712},"W7214033421",[1510,1513,1515,1517],{"name":1511,"orcid":1512},"Fransicus Arifin","https:\u002F\u002Forcid.org\u002F0000-0003-0998-1290",{"name":1514,"orcid":11},"Latifa Nuraini",{"name":1516,"orcid":11},"Eko Wahyono",{"name":1518,"orcid":11},"Akame Cyril Njume",{"tldr":1520,"method":1521,"finding":1522,"direction":1095,"opportunity":1523},"研究印尼Sleman农村妇女农民小组如何通过战略创新推动可持续农业。","混合方法案例研究，含访谈、观察、FGD及IE矩阵、SWOT、QSPM分析。","小组内部潜力强但外部挑战中等，优先策略为妇女赋权、机构合作与融资改善。","可探索数字工具与市场链接如何赋能资源受限地区妇女农民组织，弥补技术获取与性别包容政策研究空白。","2026-09-23T23:30:38.124265Z",{"id":1526,"title":1527,"url":1528,"summary":1529,"summary_zh":11,"content":11,"source_name":1530,"source_url":11,"published_at":1531,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":1532,"score_detail":1533,"sources":1535,"tags":1537,"primary_topic":1540,"secondary_topics":1541,"classification":1543,"search_phrases":1567,"slug":1570,"view_count":620,"doi":11,"paper":1571,"created_at":1579},3243,"Integrating Climate Resilience and Digital Traceability in Regenerative Agri-Food Systems: A Scenario-Based Framework for Verifiable Sustainability Claims（再生农业食品系统整合气候韧性与数字溯源：可验证可持续性声明的情景框架）","https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F18\u002F2024","MDPI Agriculture 16(18) 2024 发表研究：面对再生农业食品系统的可持续性声明常缺乏可验证、系统性证据的问题，构建整合情景分析、SWOT评估和案例研究的三方法框架。三种前瞻性情景——乐观、常规、悲观——基于现有气候韧性和政策文献构建；SWOT分析综合区块链、物联网和AI赋能的溯源机制影响因素；案例研究以先前记录的再生农业食品计划为基础，分析气候韧性叙事、数字验证工具和消费者信任线索的交互作用。结果表明，再生声明常与可验证数据流脱节，数字溯源采用面临结构性、成本相关障碍，消费者信任更依赖于情感和本土化线索而非正式认证；该框架为政策制定者、认证机构和农产品生产者将气候韧性战略与数字可验证可持续性声明相结合提供可复制、低资源方法。（罗马尼亚布加勒斯特国家科学技术大学Politehnica）","MDPI Agriculture","2026-09-20T00:00:00Z",70,{"impact":416,"substance":508,"depth":1050,"authority":584,"freshness":173,"relevant":455,"comment":1534},"论文提出情景分析、SWOT与案例研究三方法框架，指出再生农业可持续性声明与可验证数据流脱节，对农业数字化溯源有参考价值，但属学术探讨、产业落地影响有限。",[1536],{"name":1530,"url":1528},[975,1538,882,1539,884],"区块链","数字溯源",{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},[1542],{"code":184,"slug":185,"name":186,"path":187,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":1544},{"candidates":1545,"agricultural_evidence":604},[1546,1550,1554,1559,1563],{"code":192,"score":416,"supported":604,"title":1547,"abstract":1548,"tags":1549},[884],[884],[884],{"code":184,"score":615,"supported":604,"title":1551,"abstract":1552,"tags":1553},[913],[],[882],{"code":48,"score":620,"supported":604,"title":1555,"abstract":1556,"tags":1558},[],[1557],"物联网",[],{"code":465,"score":455,"supported":581,"title":1560,"abstract":1561,"tags":1562},[],[],[1539],{"code":24,"score":455,"supported":581,"title":1564,"abstract":1565,"tags":1566},[],[],[975],[1568,1569],"布加勒斯特 Politehnica 再生农业","MDPI Agriculture 数字溯源","布加勒斯特Politehnica再生农业-3243",{"doi":11,"openalex_id":11,"authors":1572,"venue":11,"cited_by_count":424,"oa_url":11,"card":1573,"direction":1095,"ingested_from":1578},[],{"tldr":1574,"method":1575,"finding":1576,"direction":1095,"opportunity":1577},"构建情景分析、SWOT与案例研究框架，整合再生农业的气候韧性与数字溯源以验证可持续性声明。","情景分析、SWOT评估与案例研究三方法框架，结合区块链、物联网和AI溯源文献。","再生声明常与可验证数据脱节，数字溯源有成本障碍，消费者信任更依赖情感与本土线索。","可探索低成本数字溯源与本土化信任线索结合的可验证声明机制，尤其在小农户场景。","agent","2026-09-23T00:04:32.924354Z",{"id":1581,"title":1582,"url":1583,"summary":1584,"summary_zh":11,"content":11,"source_name":1585,"source_url":11,"published_at":1586,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1587,"score_detail":1588,"sources":1591,"tags":1593,"primary_topic":1596,"secondary_topics":1597,"classification":1599,"search_phrases":1637,"slug":1640,"view_count":670,"doi":11,"paper":11,"created_at":1641},3218,"国家重点研发计划项目《盐碱地智慧生态农业关键技术研发与集成应用》应用场景验收会在山东昌邑召开","https:\u002F\u002Fwww.farmer.com.cn\u002F2026\u002F09\u002F22\u002F991029269.html","9-22 中国农网报道：9-19 由山东省农业科学院主持的\"十四五\"国家重点研发计划（部省联动）项目\"工厂化农业关键技术与智能农机装备\"重点专项\"盐碱地智慧生态农业关键技术研发与集成应用\"应用场景验收会在山东潍坊昌邑召开。会议邀请北京工商大学食品与健康学院杨信廷研究员、农业农村部南京农机化所科技管理处处长常春研究员、南京农业大学工学院院长肖茂华教授、山东省农科院阮怀军研究员及湿地农业与生态研究所所长李宗新研究员组成的专家组及项目骨干成员70余人参会。现场演示了智慧水肥一体化灌溉系统和变量喷药技术，展示了水肥及智能精准调控技术、土壤质量提升绿色精量配肥、玉米花生带状复合种植生态高效等核心技术的规模化示范应用；陕西大荔、内蒙古达拉特旗及山东武城、东营、无棣5处示范基地现场实时查看。","山东省农业科学院","2026-09-19T00:00:00Z",82,{"impact":1589,"substance":508,"depth":1121,"authority":345,"freshness":173,"relevant":455,"comment":1590},24,"国家重点研发计划项目在昌邑完成应用场景验收，多基地联动示范智慧水肥与变量喷药技术，专业性与示范价值突出，值得进入每日精选。",[1592],{"name":1585,"url":1583},[974,1594,1112,1595,782],"智能农机","盐碱地治理",{"code":144,"slug":145,"name":146,"path":147,"parent_code":128},[1598],{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":1600},{"candidates":1601,"agricultural_evidence":604},[1602,1607,1611,1615,1620,1624,1629,1633],{"code":144,"score":659,"supported":604,"title":1603,"abstract":1605,"tags":1606},[1604],"盐碱地",[908,1604],[1595],{"code":192,"score":416,"supported":604,"title":1608,"abstract":1609,"tags":1610},[782],[782],[782],{"code":96,"score":400,"supported":604,"title":1612,"abstract":1613,"tags":1614},[],[1112],[1112],{"code":112,"score":400,"supported":604,"title":1616,"abstract":1617,"tags":1619},[],[1618],"农机",[1594],{"code":224,"score":620,"supported":604,"title":1621,"abstract":1622,"tags":1623},[],[226],[],{"code":232,"score":620,"supported":604,"title":1625,"abstract":1626,"tags":1628},[],[1627],"花生",[],{"code":152,"score":620,"supported":604,"title":1630,"abstract":1631,"tags":1632},[],[1150],[],{"code":16,"score":455,"supported":581,"title":1634,"abstract":1635,"tags":1636},[],[],[974],[1638,1639],"盐碱地智慧生态农业 昌邑","山东农科院 盐碱地 水肥一体化","盐碱地智慧生态农业昌邑-3218","2026-09-23T00:04:29.434147Z",{"id":1643,"title":1644,"url":1645,"summary":1646,"summary_zh":1647,"content":11,"source_name":1648,"source_url":1645,"published_at":1649,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":773,"score_detail":1650,"sources":1652,"tags":1654,"primary_topic":1657,"secondary_topics":1658,"classification":1661,"search_phrases":1701,"slug":1704,"view_count":408,"doi":1705,"paper":1706,"created_at":1716},3156,"Climate Adaptation and Sustainable Agriculture in Africa: Strategies for Food Security","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.11.no2.2025.pg8.32","This study investigates the role of Climate-Smart Agriculture (CSA) and agroecology in enhancing agricultural resilience and food security in the face of climate change in Africa. Through a comprehensive review of existing literature, case studies, and policy frameworks, the research explores how these adaptive strategies are being implemented across the continent and assesses their effectiveness. The findings reveal that while CSA techniques—such as droughtresistant crop varieties, water-efficient irrigation, and soil management practices—offer tangible benefits to agricultural productivity and resilience, their widespread adoption remains constrained by limited access to finance, inadequate infrastructure, and insufficient extension services. Similarly, agroecological approaches, including crop diversification, agroforestry, and organic farming, have proven successful in fostering sustainable agricultural practices and enhancing biodiversity, yet face significant challenges from prevailing agricultural policies and institutional frameworks that favor large-scale industrial agriculture. The study recommends scaling up the adoption of CSA and agroecology by improving access to financing, technology, and farmer training programs. It also advocates for policy reforms that support agroecological practices and climate adaptation, as well as increased investment in research and development. Additionally, fostering multi-stakeholder collaborations, including public-private partnerships, is critical to overcoming institutional barriers and ensuring the effective implementation of climate adaptation strategies. The conclusion underscores the need for integrated policy frameworks that combine the strengths of CSA and agroecology to build a resilient, sustainable, and food-secure agricultural sector in Africa. By addressing both environmental and socioeconomic challenges, these strategies can significantly contribute to combating the impacts of climate change on African agriculture, ensuring long-term food security and sustainable development.","本研究探讨了气候智能型农业（Climate-Smart Agriculture, CSA）和农业生态学在增强非洲农业应对气候变化韧性和粮食安全方面的作用。通过系统梳理现有文献、案例研究和政策框架，本研究考察了这些适应性策略在非洲大陆的实施情况并评估其有效性。研究发现，尽管气候智能型农业技术——如抗旱作物品种、节水灌溉和土壤管理措施——对提高农业生产力和韧性具有切实效益，但其广泛采用仍受限于融资渠道有限、基础设施不足和推广服务欠缺。同样，农业生态学方法，包括作物多样化、农林业和有机农业，已被证明在促进可持续农业实践和增强生物多样性方面卓有成效，但仍面临来自有利于大规模工业化农业的现行农业政策和制度框架的重大挑战。本研究建议通过改善融资渠道、技术获取和农民培训项目来扩大气候智能型农业和农业生态学的采用。研究还倡导支持农业生态实践和气候适应的政策改革，以及增加研发投入。此外，促进多方利益相关者合作，包括公私合作伙伴关系，对于克服制度障碍和确保气候适应策略的有效实施至关重要。结论强调，需要建立综合性政策框架，将气候智能型农业和农业生态学的优势相结合，以在非洲构建具有韧性、可持续且粮食安全的农业部门。通过同时应对环境和社会经济挑战，这些策略能够为抵御气候变化对非洲农业的影响、确保长期粮食安全和可持续发展作出重大贡献。","IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-21T00:00:00Z",{"impact":361,"substance":508,"depth":1050,"authority":584,"freshness":173,"relevant":455,"comment":1651},"系统综述非洲气候智慧型农业与生态农业的适应策略及政策障碍，结论可靠但属文献综述，非突破性成果。",[1653],{"name":1648,"url":1645},[648,1655,825,1656,782],"非洲农业","农业适应",{"code":263,"slug":264,"name":265,"path":266,"parent_code":200},[1659,1660],{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"code":184,"slug":185,"name":186,"path":187,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":1662},{"candidates":1663,"agricultural_evidence":604},[1664,1668,1672,1676,1680,1684,1688,1692,1696],{"code":263,"score":659,"supported":604,"title":1665,"abstract":1666,"tags":1667},[661],[648,661],[648],{"code":192,"score":416,"supported":604,"title":1669,"abstract":1670,"tags":1671},[739],[738],[782],{"code":184,"score":385,"supported":604,"title":1673,"abstract":1674,"tags":1675},[],[673,744,674],[825],{"code":176,"score":615,"supported":604,"title":1677,"abstract":1678,"tags":1679},[],[900,901,177,903],[],{"code":144,"score":585,"supported":604,"title":1681,"abstract":1682,"tags":1683},[],[908,145],[],{"code":152,"score":585,"supported":604,"title":1685,"abstract":1686,"tags":1687},[],[1150,153],[],{"code":556,"score":400,"supported":604,"title":1689,"abstract":1690,"tags":1691},[],[1655],[1655],{"code":16,"score":620,"supported":604,"title":1693,"abstract":1694,"tags":1695},[],[684],[],{"code":542,"score":620,"supported":604,"title":1697,"abstract":1698,"tags":1700},[],[1699],"农业政策",[],[1702,1703],"气候智慧型农业 非洲","生态农业 粮食安全","气候智慧型农业非洲-3156","10.56201\u002Fijgem.vol.11.no2.2025.pg8.32",{"doi":1705,"openalex_id":1707,"authors":1708,"venue":1648,"cited_by_count":455,"oa_url":11,"card":1711,"direction":711,"ingested_from":712},"W7213982962",[1709],{"name":1710,"orcid":11},"Ayobami Samuel Owoyemi",{"tldr":1712,"method":1713,"finding":1714,"direction":709,"opportunity":1715},"综述气候智慧型农业与生态农业在非洲提升农业韧性与粮食安全的成效及障碍。","文献综述、案例研究与政策框架分析。","两类策略有效但受资金、基建、推广服务及政策偏向制约。","可量化评估CSA与生态农业在非洲不同区域的适配性与政策协同效果。","2026-09-22T23:30:10.505058Z",{"id":1718,"title":1719,"url":1720,"summary":1721,"summary_zh":1722,"content":11,"source_name":1047,"source_url":1720,"published_at":1723,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":1724,"score_detail":1725,"sources":1727,"tags":1729,"primary_topic":1734,"secondary_topics":1735,"classification":1737,"search_phrases":1761,"slug":1764,"view_count":620,"doi":1765,"paper":1766,"created_at":1785},3142,"Communication channels for promoting regenerative agricultural practices among maize farmers: preferences and predictors in Ghana’s transitional belt","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1961960","Agricultural extension, knowledge exchange, behavioural change, and smallholder innovation are fundamental to accelerating sustainable agricultural transformation and strengthening climate-resilient food systems in Africa. Effective knowledge exchange enables farmers to adopt environmentally sustainable practices that improve soil health, enhance productivity, and contribute to food and nutrition security. However, limited evidence exists on how farmers’ communication preferences influence the adoption of regenerative agricultural practices (RAPs). This study examined determinants of maize farmers’ preferred communication channels for receiving RAP information in Ghana’s transitional belt. A cross-sectional survey was conducted among 385 maize farmers selected through a multistage sampling procedure. Data were collected using a structured interview schedule administered to the selected respondents. Data were analysed using descriptive statistics, one-way analysis of variance, chi-square tests, and multinomial logistic regression. Mass communication emerged as the most preferred channel (38.7%), followed by individual (37.1%) and group communication (24.2%). Despite being the least preferred, group communication was associated with significantly higher adoption of RAPs than mass and individual channels. Communication preferences were significantly influenced by education, sex, farming experience, land ownership, market incentives, location, and farm fragmentation. The findings demonstrate that communication effectiveness depends not only on information access but also on opportunities for interaction, peer learning, and contextualised advisory support. The study recommends integrating mass communication with participatory group-based and targeted interpersonal extension approaches to enhance RAPs adoption. This supports SDG 2 (Zero Hunger), SDG 12 (Responsible Consumption and Production), SDG 13 (Climate Action and SDG 15 [Life on Land]). By linking communication preferences with regenerative agriculture adoption, this study extends agricultural communication theory and provides evidence for designing farmer-centred extension systems that strengthen resilient agricultural and food systems across sub-Saharan Africa.","农业推广、知识交流、行为改变和小农创新是加速非洲可持续农业转型和增强气候韧性粮食系统的根本所在。有效的知识交流使农民能够采用环境可持续的做法，从而改善土壤健康、提高生产力并促进粮食和营养安全。然而，关于农民的沟通偏好如何影响再生农业实践（RAPs）采纳的证据仍然有限。本研究考察了加纳过渡带玉米农民获取再生农业实践信息时首选沟通渠道的决定因素。研究采用多阶段抽样程序选取了385名玉米农民进行横断面调查，使用结构化访谈问卷对选定受访者进行数据收集，并运用描述性统计、单因素方差分析、卡方检验和多项逻辑回归进行数据分析。大众传播是最受青睐的渠道（38.7%），其次是个体传播（37.1%）和群体传播（24.2%）。尽管群体传播最不受青睐，但其与再生农业实践采纳率显著高于大众传播和个体传播相关。沟通偏好受到教育程度、性别、务农经验、土地所有权、市场激励、地理位置和地块分散程度的显著影响。研究结果表明，沟通效果不仅取决于信息获取，还取决于互动机会、同伴学习和情境化咨询服务。研究建议将大众传播与参与式群体方法和有针对性的面对面推广方法相结合，以提高再生农业实践的采纳率。这有助于实现可持续发展目标2（零饥饿）、目标12（负责任消费和生产）、目标13（气候行动）和目标15（陆地生物）。通过将沟通偏好与再生农业采纳相联系，本研究拓展了农业传播理论，并为设计以农民为中心的推广体系提供了依据，以增强撒哈拉以南非洲地区具有韧性的农业和粮食系统。","2026-09-22T00:00:00Z",73,{"impact":416,"substance":877,"depth":1050,"authority":584,"freshness":385,"relevant":455,"comment":1726},"基于385户加纳玉米农户调查，揭示沟通渠道偏好与再生农业采纳关系，对非洲小农推广体系有实证参考价值，但地域性强、国内关联度有限。",[1728],{"name":1047,"url":1720},[1730,1731,1732,884,1733],"加纳","农业推广","玉米种植","农户沟通",{"code":224,"slug":225,"name":226,"path":227,"parent_code":200},[1736],{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":1738},{"candidates":1739,"agricultural_evidence":604},[1740,1744,1748,1753,1757],{"code":224,"score":659,"supported":604,"title":1741,"abstract":1742,"tags":1743},[225],[226,225],[1732],{"code":192,"score":385,"supported":604,"title":1745,"abstract":1746,"tags":1747},[],[738,884,894],[884],{"code":488,"score":670,"supported":604,"title":1749,"abstract":1750,"tags":1752},[],[1731,1751],"agricultural extension",[1731],{"code":144,"score":585,"supported":604,"title":1754,"abstract":1755,"tags":1756},[],[908,145],[],{"code":496,"score":620,"supported":604,"title":1758,"abstract":1759,"tags":1760},[],[679],[],[1762,1763],"加纳 玉米 农户 沟通渠道","再生农业 推广 加纳","加纳玉米农户沟通渠道-3142","10.3389\u002Ffsufs.2026.1961960",{"doi":1765,"openalex_id":1767,"authors":1768,"venue":1047,"cited_by_count":424,"oa_url":1720,"card":1780,"direction":1095,"ingested_from":712},"W7213983148",[1769,1771,1774,1777],{"name":1770,"orcid":11},"Fred Ankuyi",{"name":1772,"orcid":1773},"Ernest Laryea Okorley","https:\u002F\u002Forcid.org\u002F0000-0003-1354-7446",{"name":1775,"orcid":1776},"Fatimah Von Abubakari","https:\u002F\u002Forcid.org\u002F0000-0001-5485-4085",{"name":1778,"orcid":1779},"Enoch Kwame Tham-Agyekum","https:\u002F\u002Forcid.org\u002F0000-0003-1657-1409",{"tldr":1781,"method":1782,"finding":1783,"direction":1095,"opportunity":1784},"研究加纳玉米农获取再生农业信息的渠道偏好及其对采纳的影响。","对385户玉米农问卷调查，用多项逻辑回归等分析。","大众传播最受偏好，但群体传播渠道对应更高的再生农业实践采纳率。","可探索数字工具与群体互动结合的混合推广模式，提升小农再生农业采纳。","2026-09-22T23:30:07.910603Z",{"id":1787,"title":1788,"url":1789,"summary":1790,"summary_zh":1791,"content":11,"source_name":1403,"source_url":1789,"published_at":1531,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":1792,"score_detail":1793,"sources":1795,"tags":1797,"primary_topic":1801,"secondary_topics":1802,"classification":1804,"search_phrases":1836,"slug":1839,"view_count":620,"doi":1840,"paper":1841,"created_at":1853},3058,"Climate Change and Crop Production Vulnerability in Somalia: A VECM Analysis for Sustainable Agriculture","https:\u002F\u002Fdoi.org\u002F10.22004\u002Fag.econ.412749","Somali crop production is vulnerable to climate change, as agriculture is heavily reliant on rainfall. Increased temperatures, sporadic rainfall, and higher levels of CO2 emissions threaten food security as well as the livelihoods in rural areas. While global studies discuss these issues, there is a lack of empirical research on Somalia. This research attempts to study the gap created by the absence of research regarding the vulnerability of crop production to climate change and its sustainable agriculture aspects. The study uses a vector error correction model (VECM) to evaluate how climate factors, including temperature, rainfall, CO2 emissions, land designated for agriculture, and labour, affect crop production in the short and long term. The study found that CO₂, temperature, and rainfall lead to boosted crop production in the short term because of the traditional adaptation strategies employed by farmers. In the long term, a 1% increase in CO2 emissions leads to a 57% reduction in crop production, and a similar rise in temperature causes production levels to fall over 100%. Rainfall, agricultural land, and labour continue to positively influence production levels in both periods. These results strongly indicate the necessity of climate-resilient strategies, better irrigation systems, and new forms of farming. The promotion of climate-smart agriculture will help mitigate the negative effects of climate change on the agricultural sector of Somalia while simultaneously catering to the issue of food security.","索马里作物生产易受气候变化影响，因为农业高度依赖降雨。气温升高、降雨不稳定以及二氧化碳排放量增加，威胁着粮食安全以及农村地区的生计。尽管全球研究讨论了这些问题，但缺乏关于索马里的实证研究。本研究试图填补因缺乏关于作物生产对气候变化的脆弱性及其可持续农业方面的研究而造成的空白。该研究采用向量误差修正模型（VECM），评估气候因素（包括气温、降雨、二氧化碳排放、农业用地和劳动力）在短期和长期内如何影响作物生产。研究发现，由于农民采用传统适应策略，二氧化碳、气温和降雨在短期内会促进作物生产。从长期来看，二氧化碳排放量增加1%会导致作物生产减少57%，气温类似上升会导致生产水平下降超过100%。降雨、农业用地和劳动力在两个时期都持续对生产水平产生积极影响。这些结果强烈表明，有必要采取气候韧性策略、改善灌溉系统并采用新型耕作方式。推广气候智能型农业将有助于减轻气候变化对索马里农业部门的负面影响，同时兼顾粮食安全问题。",71,{"impact":416,"substance":877,"depth":1050,"authority":584,"freshness":173,"relevant":455,"comment":1794},"以VECM量化索马里气候因子对作物生产的短长期影响，结论具政策参考价值，但属区域国别研究，公共影响有限。",[1796],{"name":1403,"url":1789},[1798,648,650,1799,1800],"农业遥感","灌溉系统","索马里农业",{"code":184,"slug":185,"name":186,"path":187,"parent_code":128},[1803],{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},{"status":599,"locked":581,"version":4,"method":600,"evidence":1805},{"candidates":1806,"agricultural_evidence":604},[1807,1811,1815,1819,1823,1828,1832],{"code":184,"score":659,"supported":604,"title":1808,"abstract":1809,"tags":1810},[674],[673,674],[650],{"code":192,"score":345,"supported":604,"title":1812,"abstract":1813,"tags":1814},[739],[738,739],[],{"code":263,"score":670,"supported":604,"title":1816,"abstract":1817,"tags":1818},[],[648,661],[648],{"code":152,"score":585,"supported":604,"title":1820,"abstract":1821,"tags":1822},[],[1150,153],[],{"code":160,"score":620,"supported":604,"title":1824,"abstract":1825,"tags":1827},[],[1826],"碳排放",[],{"code":16,"score":620,"supported":604,"title":1829,"abstract":1830,"tags":1831},[],[684],[],{"code":32,"score":455,"supported":581,"title":1833,"abstract":1834,"tags":1835},[],[],[1798],[1837,1838],"索马里 作物生产 气候变化","VECM 气候智慧农业","索马里作物生产气候变化-3058","10.22004\u002Fag.econ.412749",{"doi":1840,"openalex_id":1842,"authors":1843,"venue":1403,"cited_by_count":424,"oa_url":1789,"card":1848,"direction":711,"ingested_from":712},"W7213772032",[1844,1846],{"name":1845,"orcid":11},"Mohamed Nur Abdulkadir",{"name":1847,"orcid":11},"Yassin Sheikh Ali Ali",{"tldr":1849,"method":1850,"finding":1851,"direction":709,"opportunity":1852},"用VECM分析索马里气候变化对作物生产的短期与长期影响。","VECM模型，变量含温度、降雨、CO2、农地、劳动力。","短期CO2、温度、降雨促产，长期CO2增1%减产57%，温度增1%减产超100%。","可结合气候智慧型农业与灌溉技术，研究小农户适应策略的长期有效性。","2026-09-21T23:30:09.204353Z",{"id":1855,"title":1856,"url":1857,"summary":1858,"summary_zh":11,"content":11,"source_name":1859,"source_url":11,"published_at":1531,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":967,"score_detail":1860,"sources":1862,"tags":1864,"primary_topic":1867,"secondary_topics":1868,"classification":1869,"search_phrases":1893,"slug":1896,"view_count":69,"doi":11,"paper":1897,"created_at":1904},3050,"面向再生农业与气候韧性食物系统的可解释数字孪生集成框架","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F18\u002F9645","研究提出集成全球农业基础表征模型（GAFRM）、自演化可解释数字孪生（SEDT）、自演化进化基础优化器（SEEFO）与增强型绿色再生农业可持续性指数（GRASI）的统一计算框架，显式将作物微量营养素密度纳入农业决策架构并建模其与覆盖作物、生物炭施用、免耕等再生实践的关系。框架使用多源全球数据集评估全球约60个代表性国家6大洲15个气候带2000-2026年数据，SEDT达到RMSE 3.18\u002FMAE 2.29\u002FR² 0.972\u002FNSE 0.968；SEEFO获得最高Hypervolume 0.956与最低GD 0.028；通过XAI特征归因建立全透明、可解释决策支持环境。","MDPI Sustainability 18(18):9645",{"impact":361,"substance":321,"depth":361,"authority":584,"freshness":615,"relevant":455,"comment":1861},"方法新颖、数据规模大且指标可靠，属农业人工智能与气候智慧农业前沿成果，值得进入每日精选。",[1863],{"name":1859,"url":1857},[974,1865,1866,882,884],"可解释AI","数字孪生",{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},[],{"status":599,"locked":581,"version":4,"method":600,"evidence":1870},{"candidates":1871,"agricultural_evidence":604},[1872,1876,1880,1885,1889],{"code":16,"score":584,"supported":604,"title":1873,"abstract":1874,"tags":1875},[1866],[1866],[1866,974],{"code":192,"score":416,"supported":604,"title":1877,"abstract":1878,"tags":1879},[884],[884],[884],{"code":556,"score":620,"supported":604,"title":1881,"abstract":1882,"tags":1884},[],[1883],"全球农业",[],{"code":184,"score":455,"supported":581,"title":1886,"abstract":1887,"tags":1888},[],[],[882],{"code":24,"score":455,"supported":581,"title":1890,"abstract":1891,"tags":1892},[],[],[1865],[1894,1895],"GAFRM 数字孪生 再生农业","GRASI 气候韧性","GAFRM数字孪生再生农业-3050",{"doi":11,"openalex_id":11,"authors":1898,"venue":11,"cited_by_count":424,"oa_url":11,"card":1899,"direction":957,"ingested_from":1578},[],{"tldr":1900,"method":1901,"finding":1902,"direction":957,"opportunity":1903},"提出集成数字孪生与进化优化的可解释框架，将微量营养素密度纳入再生农业决策。","全球60国2000-2026多源数据，GAFRM+SEDT+SEEFO+GRAS","SEDT预测精度高（R²0.972），SEEFO优化性能最优，实现透明可解释决策支持。","可探索将微量营养素密度与再生实践耦合的实时数字孪生，并验证跨气候带可迁移性。","2026-09-21T00:04:39.490071Z",{"id":1906,"title":1907,"url":1908,"summary":1909,"summary_zh":1910,"content":11,"source_name":1047,"source_url":1908,"published_at":1911,"category":641,"cover_url":11,"hotness":385,"is_selected":581,"score":1912,"score_detail":1913,"sources":1915,"tags":1917,"primary_topic":1923,"secondary_topics":1924,"classification":1925,"search_phrases":1945,"slug":1948,"view_count":455,"doi":1949,"paper":1950,"created_at":1971},2748,"Building nutrient-focused food recovery networks: a community case study of county-level food recovery","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1958338","Food recovery programs are often described by pounds collected or distributed, but weight alone does not capture the nutritional value of recovered foods or the local infrastructure needed to move nutrient-dense surplus foods before they become waste. This community case study describes the early implementation period of the Waste Not, Want Not Kentucky Feeding Network (WiN-WiN), a USDA Sustainable Agriculture Research and Education-funded program in Jessamine County, Kentucky. WiN-WiN was designed as a connector among existing food sources, donation drop-off sites, and community feeding organizations. Guided by community-based participatory research and community asset mapping, the team developed a small county-level recovery network focused on redirecting fresh produce and other nutrient-dense foods through existing community partners. During the first donation season, WiN-WiN worked with six active donation drop-off sites and five receiving feeding partners and recorded 8,641 lb of donated food, with produce accounting for the largest share of donations. Estimated nutrient analysis showed that eligible whole-food donations contributed protein, fiber, micronutrients, and selected carotenoids, highlighting nutritional value that cannot be captured by pounds alone. The network relied on strong relationships with partners and quick adaptation to their needs. Early implementation challenges included inconsistent donation volume, variable volunteer coverage, inconsistent intake reporting, and changes in planned drop-off sites. Findings suggest that small and semi-rural communities can begin building nutrient-dense focused food recovery infrastructure by working through existing community assets, keeping participation requirements manageable, and simplifying operations before scaling the program.","粮食回收项目通常以收集或分发的磅数来衡量，但仅凭重量无法体现所回收食物的营养价值，也无法反映在营养密集型剩余食物变成废弃物之前将其转运所需的本地基础设施。本社区案例研究描述了“不浪费，不匮乏”肯塔基供餐网络（Waste Not, Want Not Kentucky Feeding Network，WiN-WiN）的早期实施阶段，该项目由美国农业部可持续农业研究与教育项目资助，位于肯塔基州杰萨明县。WiN-WiN旨在充当现有食物来源、捐赠投放点和社区供餐组织之间的连接者。在基于社区的参与式研究和社区资产 mapping 的指导下，团队建立了一个小型县级回收网络，重点是通过现有社区合作伙伴重新分配新鲜农产品和其他营养密集型食物。在第一个捐赠季，WiN-WiN与六个活跃的捐赠投放点和五个接收供餐合作伙伴合作，记录了8，641磅捐赠食物，其中农产品占捐赠的最大份额。估算的营养分析显示，符合条件的全食物捐赠提供了蛋白质、纤维、微量营养素和特定类胡萝卜素，凸显了仅凭磅数无法体现的营养价值。该网络依赖于与合作伙伴的牢固关系以及对其需求的快速适应。早期实施挑战包括捐赠量不稳定、志愿者覆盖范围多变、接收报告不一致以及计划投放点的变更。研究结果表明，小型和半乡村社区可以通过利用现有社区资产、保持参与要求可控、在扩大项目规模之前简化运营，开始建设以营养密集型食物为重点的粮食回收基础设施。","2026-09-17T00:00:00Z",65,{"impact":173,"substance":361,"depth":1121,"authority":584,"freshness":385,"relevant":455,"comment":1914},"县级食物回收网络的社区案例研究，提供营养维度量化数据与实施经验，对乡村食物系统建设有参考价值，但影响范围限于地方实践。",[1916],{"name":1047,"url":1908},[1918,1919,1920,1921,1922],"数字乡村","食物浪费","食物银行","社区支持农业","营养导向",{"code":192,"slug":193,"name":194,"path":195,"parent_code":128},[],{"status":599,"locked":581,"version":4,"method":600,"evidence":1926},{"candidates":1927,"agricultural_evidence":604},[1928,1932,1937,1941],{"code":192,"score":585,"supported":604,"title":1929,"abstract":1930,"tags":1931},[],[738,739],[],{"code":279,"score":620,"supported":604,"title":1933,"abstract":1934,"tags":1936},[],[1935],"萝卜",[],{"code":450,"score":455,"supported":581,"title":1938,"abstract":1939,"tags":1940},[],[],[1919],{"code":56,"score":455,"supported":581,"title":1942,"abstract":1943,"tags":1944},[],[],[1918],[1946,1947],"社区支持农业 数字乡村 营养导向 食物浪费","社区支持农业 数字乡村","社区支持农业数字乡村营养导向食物浪费-2748","10.3389\u002Ffsufs.2026.1958338",{"doi":1949,"openalex_id":1951,"authors":1952,"venue":1047,"cited_by_count":424,"oa_url":1908,"card":1966,"direction":1095,"ingested_from":712},"W7213451975",[1953,1956,1958,1960,1962,1964],{"name":1954,"orcid":1955},"Lauren Batey","https:\u002F\u002Forcid.org\u002F0000-0001-5981-0970",{"name":1957,"orcid":11},"Rachel Bryant",{"name":1959,"orcid":11},"Makenzie Barr-Porter",{"name":1961,"orcid":11},"Tammy Stephenson",{"name":1963,"orcid":11},"A. Potter",{"name":1965,"orcid":11},"Dawn Brewer",{"tldr":1967,"method":1968,"finding":1969,"direction":1095,"opportunity":1970},"通过社区参与式研究在肯塔基州一县建立营养导向的食物回收网络并评估其早期运行。","社区参与式研究与社区资产映射，追踪6个捐赠点和5个受赠伙伴的捐赠数据。","首季回收8641磅食物，营养分析显示全食物捐赠提供蛋白质、纤维和微量营养素，价值远超重量。","可开发轻量级营养核算与捐赠追溯工具，解决小规模食物回收网络的数据报告不一致问题。","2026-09-17T23:30:07.087875Z",{"technologies":1973,"keywords":1987},[1974,1975,1976,1977,1979,1980,1981,1982,1983,1985],{"name":975,"count":615},{"name":924,"count":400},{"name":1866,"count":69},{"name":1978,"count":455},"传感器",{"name":1798,"count":455},{"name":1538,"count":455},{"name":1431,"count":455},{"name":1557,"count":455},{"name":1984,"count":455},"遥感",{"name":1986,"count":455},"遥感监测",[1988,1989,1990,1991,1992,1993,1994,1995,1996,1998,1999,2000],{"name":974,"count":345},{"name":738,"count":173},{"name":884,"count":400},{"name":782,"count":400},{"name":648,"count":400},{"name":650,"count":620},{"name":882,"count":620},{"name":779,"count":620},{"name":1997,"count":69},"产量预测",{"name":1245,"count":69},{"name":1111,"count":69},{"name":1246,"count":69}]