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粮食安全","国际合作粮食安全刘国中杭州-943",3,"2026-08-26T00:09:29.372868Z",{"total":60,"page":19,"page_size":60,"items":61},6,[62,108,143,208,284,382],{"id":63,"title":64,"url":65,"summary":66,"summary_zh":8,"content":67,"source_name":68,"source_url":8,"published_at":69,"category":70,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":71,"sources":76,"tags":78,"primary_topic":81,"secondary_topics":82,"classification":83,"search_phrases":102,"slug":105,"view_count":106,"doi":8,"paper":8,"created_at":107},1128,"第十一届APEC粮食安全部长级会议在杭州召开 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数字农业 粮食安全 APEC","人工智能 数字农业","人工智能数字农业粮食安全APEC-1128",5,"2026-08-31T00:08:54.562095Z",{"id":109,"title":110,"url":111,"summary":112,"summary_zh":8,"content":113,"source_name":114,"source_url":8,"published_at":115,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":116,"sources":119,"tags":121,"primary_topic":125,"secondary_topics":126,"classification":127,"search_phrases":138,"slug":141,"view_count":92,"doi":8,"paper":8,"created_at":142},882,"中国在APEC粮食安全高级别政企对话会提出AI保护粮食安全三项倡议","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7676792582709543459","8月20日APEC粮食安全高级别政企对话会在辽宁大连举行，国家粮食和物资储备局局长刘焕鑫代表中方提出三点倡议：第一推动人工智能、数字技术和智能加工在粮食产业全链条规模化应用，促进\"可信数据共享\"，为风险研判、政策制定和应急响应提供依据；强调AI要从田间延伸至收购、仓储、物流、加工、销售乃至政府风险预警系统等\"全链条\"场景。中方今年担任APEC东道主将\"开放、创新、合作\"确定为优先领域，人工智能放在\"创新\"突出位置。","2026-08-22 17:56·[观察者网](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAjMIvjM9ZCTBrb2fOwv_KpFPQ6MJh6iHm2OlIm9xgyJk\u002F?source=tuwen_detail)\n\n中国今年在APEC重点推进的两条议程，正在越来越明显地交汇到一起：一条是人工智能，另一条是粮食安全。\n\n8月20日，在辽宁大连举行的APEC粮食安全高级别政企对话会上，国家粮食和物资储备局局长刘焕鑫代表中方向APEC各经济体提出三点倡议。其中第一项，就是推动人工智能、数字技术和智能加工在粮食产业全链条规模化应用，并促进“可信数据共享”，为风险研判、政策制定和应急响应提供依据。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F0c9e29924fab4188ae6e26ad445e437d~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1788134798&x-signature=%2BRkYKRHCdSRllwkSWYJi0SUuQx8%3D)\n8月20日，亚太经合组织（APEC）粮食安全高级别政企对话会在辽宁省大连市举行国家粮食和物资储备局\n\n这里的关键词不是简单的“智慧农业”，而是“全链条”。\n\n也就是说，AI要进入的不只是田间地头，还包括粮食收购、仓储、物流、加工、销售乃至政府的风险预警系统。粮食安全正在从过去主要依靠增产、库存和贸易渠道，增加一套新的能力——用数据提前发现风险，再用算法提高整个供应链的调度效率。\n\n这恰好接上了中国今年在APEC大力推动的另一项议程。\n\n中国担任2026年APEC东道主，将“开放、创新、合作”确定为三项优先领域，人工智能被放在“创新”的突出位置。7月23日，APEC数字与人工智能部长会议在成都举行并发表《成都声明》，明确继续落实《APEC人工智能倡议（2026—2030年）》；第二天举行的APEC人工智能高级别论坛，又把讨论重点进一步转向AI如何真正进入经济和社会应用场景。\n\n这份五年AI倡议是在2025年韩国庆州APEC会议期间通过的，并非今年才由中国提出。但2026年恰恰是其实施的第一年，中国作为东道主正在把“AI合作”向具体行业推进。\n\n粮食安全就是其中一个非常现实的落点。\n\n原因并不难理解。粮食供应链面对的是一个高度复杂、同时越来越难预测的系统：高温、洪水可能突然影响产量，地缘冲突和出口限制可能改变国际价格，港口和航运中断又可能迅速传导至进口国。APEC秘书处在介绍今年大连会议时，也直接把供应链扰动、极端天气和粮食安全联系在一起。\n\nAI无法凭空多生产粮食，却可以帮助回答几个越来越重要的问题：哪里可能减产、哪里的库存正在下降、哪一段运输线路出现异常、价格是否存在快速上涨风险，以及出现突发情况后，粮食应该从哪里调往哪里。\n\n因此，中方此次特别提出“可信数据共享”，意义可能比单纯推广几个AI应用更大。农业和粮食数据长期分散在政府、企业、农场、仓储和物流体系中。如果不同经济体之间能够逐步建立数据交换、风险预警和技术合作机制，AI才可能真正从单个企业提高效率的工具，升级为区域粮食安全治理的基础设施。\n\n当然，这也是最难的一步。APEC的21个成员经济体在农业规模、数字基础设施和数据规则上的差距非常大，所以中方第二项倡议专门提出帮助小规模生产者、中小微企业和初创企业获得技术、融资和市场机会，第三项则提出推动政府、企业、科研机构和国际组织共同参与。\n\n接下来值得观察的是8月24日至25日在杭州举行的APEC粮食安全部长会议。\n\n如果相关思路进一步进入部长会议成果，那么中国今年推动的APEC人工智能议程，就不再只是围绕大模型、数据和技术规则展开，而开始进入一个更传统、也更现实的领域。\n\nAI竞争的下一阶段，可能不只是比谁的模型更聪明，还要比谁能把算法真正嵌进粮仓、港口和供应链。\n\n**本文系观察者网独家稿件，未经授权，不得转载。**","观察者网 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可信数据共享","国家粮食和物资储备局可信数据共享人工智能粮食安全-882","2026-08-24T00:06:08.726661Z",{"id":144,"title":145,"url":146,"summary":147,"summary_zh":8,"content":148,"source_name":149,"source_url":8,"published_at":150,"category":70,"cover_url":8,"hotness":12,"is_selected":13,"score":151,"score_detail":152,"sources":155,"tags":157,"primary_topic":162,"secondary_topics":163,"classification":164,"search_phrases":202,"slug":205,"view_count":206,"doi":8,"paper":8,"created_at":207},5497,"农业农村部在长沙召开部署会 推动「十五五」农业农村发展规划任务落地","https:\u002F\u002Fjhs.moa.gov.cn\u002Fghgl\u002F202610\u002Ft20261021_6488825.htm","10月21日召开的部署会提出，农业农村领域各专项规划与各省级地方规划已基本印发，全国「一盘棋」总体格局初步形成。会议要求紧盯约束性指标不折不扣完成，聚焦粮食安全与不发生规模性返贫致贫两条底线，谋划储备打基础利长远的重大项目，并加强规划实施动态监测与中期评估。","10月21日，“十五五”农业农村发展规划任务落实部署会在长沙召开，深入学习贯彻习近平总书记关于“三农”工作的重要论述和重要指示批示精神，贯彻落实党中央、国务院决策部署，就落实《加快农业农村现代化“十五五”规划》作出安排，推动重要指标、重点任务、重大工程落地见效，为“十五五”开好局、起好步奠定基础。\n\n会议指出，国务院印发《加快农业农村现代化“十五五”规划》后，各地深入学习贯彻，对标跟进、上下联动、协同发力，有序推进“十五五”农业农村规划编制工作。目前，农业农村领域各专项规划、各省级地方规划已基本印发，全国农业农村“十五五”规划“一盘棋”总体格局初步形成。\n\n会议强调，要准确把握《加快农业农村现代化“十五五”规划》的任务要求和实施重点，强化对农业农村现代化趋势变化和发展规律的认识，进一步提升抓落实促发展的工作质效。要深化认识抓落实，深入学习领会党的二十届四中全会精神，落实规划部署要求，持续加强宣传贯彻，凝聚共识、汇聚众力扎实推进。要紧盯指标抓落实，不折不扣完成好约束性指标，积极推进预期性指标。要聚焦重点抓落实，坚持产量产能、生产生态、增产增收一起抓，提升农业综合生产能力和质量效益，守牢国家粮食安全底线；推进常态化精准帮扶，守牢不发生规模性返贫致贫底线；学习运用“千万工程”经验，扎实推进宜居宜业和美乡村建设，推动基本实现农业现代化、农村基本具备现代生活条件取得重大进展。要谋细工程抓落实，谋划储备一批打基础、利长远的重大项目，做深做实前期工作，推动项目跟着规划走、资金跟着项目走。要跟踪监测抓落实，加强规划实施的动态监测、中期评估和总结评估，推进全过程全环节调度督促，确保如期实现各项目标任务。要加快农业发展全面绿色转型，加强农业绿色发展水平监测评价，扎实开展新一轮农业资源区划，推行绿色生产方式，提升经营主体绿色发展能力，推进农业生态价值实现，持续擦亮农业农村现代化的绿色底色。\n\n各省、自治区、直辖市和新疆生产建设兵团农业农村部门有关负责同志参加会议，农业农村部畜牧兽医局、种业管理司有关负责同志及黑龙江、江苏、浙江、湖南、广东、四川、云南、青海农业农村部门负责同志、湖南省长沙市负责同志作了交流发言。会议期间，与会代表现场考察了长沙县加快农业农村现代化、推进乡村全面振兴的情况。","农业农村部发展规划司 2026-10-21","2026-10-21T00:00:00Z",91,{"impact":16,"substance":72,"depth":153,"authority":18,"freshness":12,"relevant":19,"comment":154},16,"农业农村部召开全国性部署会，明确“十五五”规划落实路径与重点任务，政策层级高、信息增量足，值得进入每日精选。",[156],{"name":149,"url":146},[158,24,159,160,161],"十五五规划","农业农村现代化","农业绿色发展","千万工程",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":38,"version":39,"method":40,"evidence":165},{"candidates":166,"agricultural_evidence":13},[167,173,177,182,187,192,197],{"code":168,"score":117,"supported":13,"title":169,"abstract":171,"tags":172},"G",[170],"农村发展",[],[],{"code":30,"score":92,"supported":13,"title":174,"abstract":175,"tags":176},[],[24],[24],{"code":178,"score":19,"supported":38,"title":179,"abstract":180,"tags":181},"G4",[],[],[161],{"code":183,"score":19,"supported":38,"title":184,"abstract":185,"tags":186},"H4",[],[],[160],{"code":188,"score":19,"supported":38,"title":189,"abstract":190,"tags":191},"H8",[],[],[160],{"code":193,"score":19,"supported":38,"title":194,"abstract":195,"tags":196},"J1",[],[],[158],{"code":198,"score":19,"supported":38,"title":199,"abstract":200,"tags":201},"J2",[],[],[159],[203,204],"农业农村部 长沙 十五五规划","加快农业农村现代化 十五五规划","农业农村部长沙十五五规划-5497",0,"2026-10-22T00:06:57.871828Z",{"id":209,"title":210,"url":211,"summary":212,"summary_zh":213,"content":8,"source_name":214,"source_url":211,"published_at":215,"category":216,"cover_url":8,"hotness":12,"is_selected":38,"score":217,"score_detail":218,"sources":222,"tags":224,"primary_topic":228,"secondary_topics":229,"classification":230,"search_phrases":259,"slug":262,"view_count":206,"doi":263,"paper":264,"created_at":283},5491,"Analysis of the Impact of Digital Technology on the Resilience of Anhui’s Agricultural Industry Chain: Threshold Effect of Relative Grain Yield","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010656","Improving the resilience of the agricultural industry chain to frequent external shocks and the intertwined agricultural production risks is critical for ensuring national food security and sustainable agricultural development. Taking the 16 prefecture-level cities in Anhui Province—a major grain-producing region in China—as the research sample, two composite proxy indices were constructed in this study; namely, an agricultural industry chain resilience index built upon aggregate official statistics (rather than direct observed shock-response outcomes) and an index capturing broad rural digital development instead of purely agriculture-specific digital adoption. Based on balanced panel data from 2015 to 2024, two-way fixed-effect, mediation-effect, and panel-threshold models were adopted in this study to examine the association, mediating mechanism, regional heterogeneity, and threshold characteristics conditioned on the relative grain yield. The empirical results show that the rural-oriented digital development index is significantly and robustly positively associated with our composite agricultural industry chain resilience proxy. Although agricultural TFP exhibits a statistically detectable partial mediating pattern in this correlational relationship, the economic magnitude of this indirect channel is extremely modest. As such, this finding indicates a potential theoretical transmission pathway rather than providing definitive empirical evidence for a causal mechanism. The promotion effect exhibits clear regional heterogeneity, with the strongest effect in Northern Anhui, followed by Central Anhui, while the coefficient is positive but insignificant in Southern Anhui. Furthermore, a single-threshold effect of the relative grain yield is identified; that is, the positive association between rural-oriented digital development and resilience proxy cannot be statistically detected when the grain yield remains below the threshold. Only after the agricultural grain yield increases can digital-related rural development release its resilience-related empowering dividends. We note that both composite indices are subject to measurement constraints linked to the local agricultural economic scale and broad rural digital conditions; these limitations are further discussed in the paper. This study provides empirical correlational evidence for the implementation of differentiated digital agriculture policies in major grain-producing provinces.","提升农业产业链对频繁外部冲击与交织叠加的农业生产风险的韧性，对保障国家粮食安全和农业可持续发展至关重要。本研究以中国粮食主产省安徽省的16个地级市为研究样本，构建了两个复合代理指标：一是基于官方统计数据总量（而非直接观测的冲击—响应结果）构建的农业产业链韧性指数，二是刻画农村数字化广泛发展（而非单纯农业领域数字化应用）的指数。基于2015—2024年平衡面板数据，本研究采用双向固定效应模型、中介效应模型和面板门槛模型，考察二者之间的关联、中介机制、区域异质性以及以相对粮食产量为条件变量的门槛特征。实证结果表明，农村导向的数字化发展指数与本研究的农业产业链韧性复合代理指标之间存在显著且稳健的正向关联。尽管农业全要素生产率在这一相关关系中呈现出统计上可检测的部分中介模式，但该间接渠道的经济量级极为有限。因此，这一发现指示的是一种潜在的理论传导路径，而非为因果机制提供确凿的实证证据。其促进效应表现出明显的区域异质性，皖北效应最强，皖中次之，皖南系数为正但不显著。此外，还识别出相对粮食产量的单一门槛效应，即当粮食产量低于门槛值时，农村导向的数字化发展与韧性代理指标之间的正向关联在统计上无法被检测到；只有在农业粮食产量提高之后，数字相关农村发展才能释放其韧性赋能红利。我们注意到，两个复合指数均受到与地方农业经济规模和农村数字化总体状况相关的测度约束；这些局限性在文中进一步讨论。本研究为粮食主产省实施差异化数字农业政策提供了实证相关性证据。","Sustainability","2026-10-20T00:00:00Z","论文",74,{"impact":153,"substance":17,"depth":219,"authority":220,"freshness":117,"relevant":19,"comment":221},17,13,"基于安徽16市面板数据的实证研究，方法规范、结论有区域异质性价值，但属省级学术论文，公共影响有限，适合作为主题页聚合素材而非头条精选。",[223],{"name":214,"url":211},[79,225,24,226,227],"数字乡村","农业产业链韧性","安徽农业",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":38,"version":39,"method":40,"evidence":231},{"candidates":232,"agricultural_evidence":13},[233,239,244,249,254],{"code":30,"score":234,"supported":13,"title":235,"abstract":236,"tags":238},7,[],[24,237],"food security",[24],{"code":98,"score":234,"supported":13,"title":240,"abstract":241,"tags":243},[],[79,242],"digital agriculture",[79],{"code":168,"score":60,"supported":13,"title":245,"abstract":246,"tags":248},[],[170,247],"rural development",[],{"code":193,"score":57,"supported":13,"title":250,"abstract":251,"tags":253},[],[252],"农业政策",[],{"code":255,"score":19,"supported":38,"title":256,"abstract":257,"tags":258},"I6",[],[],[225],[260,261],"安徽 农业产业链韧性 数字技术","安徽 粮食产量 数字乡村","安徽农业产业链韧性数字技术-5491","10.3390\u002Fsu182010656",{"doi":263,"openalex_id":265,"authors":266,"venue":214,"cited_by_count":206,"oa_url":211,"card":276,"direction":280,"ingested_from":282},"W7223005655",[267,270,272,274],{"name":268,"orcid":269},"Lan Ma","https:\u002F\u002Forcid.org\u002F0000-0003-2468-9917",{"name":271,"orcid":8},"Yuyan Li",{"name":273,"orcid":8},"张国亮",{"name":275,"orcid":8},"Yaoyao Li",{"tldr":277,"method":278,"finding":279,"direction":280,"opportunity":281},"以安徽16市面板数据检验农村数字发展对农业产业链韧性的影响及粮食产量门槛效应。","2015—2024年安徽16市平衡面板，双向固定效应、中介效应与面板门槛模型。","数字发展显著提升产业链韧性，存在粮食相对产量单门槛，且皖北效应最强、皖南不显著。","数字乡村与农业信息化","可细化数字技术指标、引入真实冲击响应韧性测度，并探究门槛形成机制与皖南失效原因。","openalex","2026-10-21T23:30:29.219265Z",{"id":285,"title":286,"url":287,"summary":288,"summary_zh":289,"content":8,"source_name":290,"source_url":287,"published_at":215,"category":216,"cover_url":8,"hotness":12,"is_selected":38,"score":291,"score_detail":292,"sources":294,"tags":296,"primary_topic":301,"secondary_topics":302,"classification":314,"search_phrases":359,"slug":362,"view_count":206,"doi":363,"paper":364,"created_at":381},5478,"Characterisation of Food Security Situation for Smallholder Farmers in Zvimba","https:\u002F\u002Fdoi.org\u002F10.71458\u002Frx0qpm30","This study provides a comprehensive analysis of the food security situation among smallholder farmers (SHFs) in Zvimba District, Zimbabwe. Smallholder agriculture is the bedrock of Zimbabwe's food system, yet it remains highly vulnerable to a complex array of shocks and stressors. Using a mixed-methods approach, this research investigates the prevalence, drivers and lived experiences of food insecurity within this community. A structured survey was administered to 412 randomly selected smallholder households across the district's wards. The quantitative data were supplemented by 12 Focus Group Discussions (FGDs) and 24 Key Informant Interviews (KIIs) with farmers, community leaders and agricultural extension officers to capture qualitative nuances. The study is grounded in the Food Security Theory (FST), which conceptualises food security through its four pillars: food availability, food access, food utilisation and food stability. Findings reveal a precarious food security situation. Quantitatively, 78.4% of households were found to be food insecure, with an average Hunger Months Index of 4.7 months per year. The study identifies a significant disconnect between maize production, the national staple and household consumption, with over 65% of households failing to produce enough maize to meet their annual requirements. Qualitative data illuminated the multi-faceted drivers of this insecurity. Key points to note include climate change whereby erratic rainfall and prolonged mid-season dry spells were consistently reported as the primary production challenges, limited access to farming inputs whereby high costs and unreliable supplies of certified seeds, fertilizers and agro[1]chemicals constrain productivity. Morelso, socio-economic factors such as poverty, lack of viable alternative livelihoods and limited access to formal credit perpetuate a cycle of vulnerability. In addition, institutional weaknesses, for example, challenges with agricultural extension services and market inefficiencies, exacerbate the situation. The study concludes that food insecurity in Zvimba is not merely a problem of food production, but is deeply rooted in structural issues affecting food access, food utilisation, as well as food stability. Recommendations are proposed for a multi-sectoral approach, including promoting Climate-Smart Agriculture (CSA) and drought-resistant crops, strengthening input support systems and rural finance, diversifying livelihood strategies and enhancing the capacity of extension services. This research contributes to a deeper understanding of the localised dynamics of food security and provides evidence-based guidance for policymakers, development practitioners and the farmers of Zvimba themselves.","本研究对津巴布韦兹维姆巴区小农户（smallholder farmers, SHFs）的粮食安全状况进行了全面分析。小农农业是津巴布韦粮食体系的基石，但仍极易受到一系列复杂冲击和压力的影响。本研究采用混合方法，考察了该社区粮食不安全的普遍程度、驱动因素及生活体验。研究对该区各选区随机抽取的412户小农户进行了结构化问卷调查。定量数据辅以12次焦点小组讨论（FGDs）和24次关键知情人访谈（KIIs），访谈对象包括农民、社区领袖和农业推广人员，以捕捉定性层面的细微差异。本研究以粮食安全理论（Food Security Theory, FST）为基础，该理论通过四大支柱界定粮食安全：粮食可供性、粮食获取、粮食利用和粮食稳定性。研究结果揭示了严峻的粮食安全形势。定量数据显示，78.4%的家庭存在粮食不安全，年均饥饿月份指数为4.7个月。研究发现，玉米产量——该国主粮——与家庭消费之间存在显著脱节，超过65%的家庭生产的玉米不足以满足其年度需求。定性数据揭示了这一不安全状况的多重驱动因素。值得注意的要点包括：气候变化，即降雨不稳定和持续的中期干旱被一致报告为主要生产挑战；农业投入品获取受限，即认证种子、化肥和农用化学品成本高昂且供应不可靠，制约了生产力。此外，贫困、缺乏可行的替代生计以及正规信贷获取受限等社会经济因素使脆弱性循环持续存在。此外，制度薄弱环节，例如农业推广服务面临的挑战和市场效率低下，加剧了这一状况。研究得出结论，兹维姆巴的粮食不安全不仅仅是粮食生产问题，而是深深植根于影响粮食获取、粮食利用以及粮食稳定性的结构性问题。研究提出了采取多部门方法的建议，包括推广气候智能型农业（Climate-Smart Agriculture, CSA）和抗旱作物、加强投入品支持体系和农村金融、多样化生计策略以及增强","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations",55,{"impact":117,"substance":73,"depth":18,"authority":60,"freshness":117,"relevant":19,"comment":293},"基于412户调查与混合方法的扎实实证研究，但属津巴布韦地方性案例，公共影响与信源权威度有限，可作参考而非每日精选。",[295],{"name":290,"url":287},[24,297,298,299,300],"小农户","气候智慧农业","农业推广","津巴布韦",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[303,308],{"code":304,"slug":305,"name":306,"path":307,"parent_code":168},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",{"code":309,"slug":310,"name":311,"path":312,"parent_code":313},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":37,"locked":38,"version":39,"method":40,"evidence":315},{"candidates":316,"agricultural_evidence":13},[317,321,326,334,340,347,354],{"code":30,"score":18,"supported":13,"title":318,"abstract":319,"tags":320},[237],[24,237],[24],{"code":304,"score":18,"supported":13,"title":322,"abstract":324,"tags":325},[323],"smallholder",[297,323],[297],{"code":309,"score":12,"supported":13,"title":327,"abstract":328,"tags":333},[],[329,330,331,332],"气候变化","干旱","climate change","drought",[298],{"code":335,"score":234,"supported":13,"title":336,"abstract":337,"tags":339},"G1",[],[299,338],"agricultural extension",[299],{"code":341,"score":60,"supported":13,"title":342,"abstract":343,"tags":346},"A3",[],[344,345],"玉米","maize",[],{"code":348,"score":60,"supported":13,"title":349,"abstract":350,"tags":353},"G3",[],[351,352],"农村金融","rural finance",[],{"code":98,"score":57,"supported":13,"title":355,"abstract":356,"tags":358},[],[357],"smart agriculture",[],[360,361],"Zvimba 小农户 粮食安全","津巴布韦 小农 玉米","Zvimba小农户粮食安全-5478","10.71458\u002Frx0qpm30",{"doi":363,"openalex_id":365,"authors":366,"venue":290,"cited_by_count":206,"oa_url":8,"card":375,"direction":380,"ingested_from":282},"W7223029383",[367,370,373],{"name":368,"orcid":369},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":371,"orcid":372},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":374,"orcid":8},"Patience Mutopo",{"tldr":376,"method":377,"finding":378,"direction":280,"opportunity":379},"调查津巴布韦Zvimba小农户粮食安全状况，分析其普遍性、成因与实际体验。","混合方法：412户问卷、12场焦点小组、24个关键人物访谈，基于粮食安全四支柱理","78.4%家庭粮食不安全，年均饥饿月4.7个月，主因是气候、投入、社会经济与制度等结构性问题。","可探索用移动端问卷与遥感产量监测构建小农户粮食安全动态预警与精准干预系统。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:08.937079Z",{"id":383,"title":384,"url":385,"summary":386,"summary_zh":387,"content":8,"source_name":290,"source_url":385,"published_at":215,"category":216,"cover_url":8,"hotness":12,"is_selected":38,"score":388,"score_detail":389,"sources":391,"tags":393,"primary_topic":394,"secondary_topics":395,"classification":400,"search_phrases":430,"slug":433,"view_count":206,"doi":434,"paper":435,"created_at":450},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。",54,{"impact":117,"substance":73,"depth":74,"authority":60,"freshness":117,"relevant":19,"comment":390},"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。",[392],{"name":290,"url":385},[24,297,298,300],{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[396],{"code":188,"slug":397,"name":398,"path":399,"parent_code":313},"sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture",{"status":37,"locked":38,"version":39,"method":40,"evidence":401},{"candidates":402,"agricultural_evidence":13},[403,407,412,416,420,424],{"code":30,"score":18,"supported":13,"title":404,"abstract":405,"tags":406},[237],[24,237],[24],{"code":188,"score":117,"supported":13,"title":408,"abstract":410,"tags":411},[409],"conservation agriculture",[],[],{"code":309,"score":234,"supported":13,"title":413,"abstract":414,"tags":415},[],[329,331],[298],{"code":304,"score":92,"supported":13,"title":417,"abstract":418,"tags":419},[],[323],[297],{"code":98,"score":57,"supported":13,"title":421,"abstract":422,"tags":423},[],[357],[],{"code":425,"score":57,"supported":13,"title":426,"abstract":427,"tags":429},"I7",[],[428],"研究方法",[],[431,432],"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":434,"openalex_id":436,"authors":437,"venue":290,"cited_by_count":206,"oa_url":8,"card":444,"direction":380,"ingested_from":282},"W7223010488",[438,441],{"name":439,"orcid":440},"Irony Mazuruse","https:\u002F\u002Forcid.org\u002F0009-0007-5600-7825",{"name":442,"orcid":443},"Judith Chokumanyara","https:\u002F\u002Forcid.org\u002F0009-0000-7386-9960",{"tldr":445,"method":446,"finding":447,"direction":448,"opportunity":449},"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。","2026-10-21T23:30:08.757283Z"]