[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-799":3,"related-799":63},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":8,"secondary_topics":30,"classification":31,"search_phrases":57,"slug":60,"view_count":61,"doi":8,"paper":8,"created_at":62},799,"全国早稻产量连续6年稳定在560亿斤以上——总产565.8亿斤、单产397.6公斤\u002F亩","https:\u002F\u002Fszb.farmer.com.cn\u002Fnmrb\u002Fhtml\u002F2026\u002F20260822\u002F20260822_1\u002Fnmrb_20260822_13384_1_2090908423143133197.html","国家统计局8月21日发布数据:2026年全国早稻总产量565.8亿斤,比2025年减少4.4亿斤(下降0.8%),但仍连续6年稳定在560亿斤以上。早稻播种面积7116.4万亩,单产397.6公斤\u002F亩。各地实施最低收购价、耕地地力保护补贴、轮作补助等强农惠农政策,推广机插机抛、合理增密、侧深施肥等技术;受江南华南持续性强降水\"雨洗禾花\"和台风影响产量略有下降,总体保持稳定。",null,"农民日报 2026年8月22日 要闻1版","2026-08-22T00:00:00Z","政策",10,false,87,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":12,"relevant":20,"comment":21},25,22,16,14,1,"全国早稻产量数据权威发布，连续6年稳定，政策与技术细节丰富，时效性强。",[23],{"name":9,"url":6},[25,26,27,28,29],"粮食安全","农民日报","早稻产量","国家统计局","稳面积",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":35},"needs_review","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":40,"reason":56},[37,45,51],{"code":38,"score":39,"supported":40,"title":41,"abstract":42,"tags":44},"A7",3,true,[],[43],"轮作",[],{"code":46,"score":39,"supported":40,"title":47,"abstract":48,"tags":50},"F3",[],[49],"施肥",[],{"code":52,"score":20,"supported":13,"title":53,"abstract":54,"tags":55},"A8",[],[],[25],"多个产业证据相当，需要确认主归属",[58,59],"国家统计局 农民日报 早稻产量 粮食安全","国家统计局 农民日报","国家统计局农民日报早稻产量粮食安全-799",2,"2026-08-22T00:05:56.572617Z",{"total":64,"page":20,"page_size":64,"items":65},6,[66,115,190,241,286,351],{"id":67,"title":68,"url":69,"summary":70,"summary_zh":8,"content":71,"source_name":72,"source_url":8,"published_at":73,"category":74,"cover_url":8,"hotness":12,"is_selected":13,"score":75,"score_detail":76,"sources":83,"tags":85,"primary_topic":88,"secondary_topics":94,"classification":95,"search_phrases":109,"slug":112,"view_count":113,"doi":8,"paper":8,"created_at":114},5410,"国家统计局：夏粮早稻合计17904万吨，全年粮食有望再获丰收","https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fnyyw\u002F202610\u002Ft20261019_8877177.htm","国家统计局副局长毛盛勇在国新办新闻发布会上表示，今年全国夏粮早稻产量合计17904万吨，比上年增加78万吨、增长0.4%；秋粮生产形势良好，全年粮食有望再获丰收。权威数据确认了「点上看重、面上看轻」的秋粮生产格局与全年丰收预期，为「十五五」开局的粮食安全保障提供支撑。对农信业务而言，全年产量预期明朗有利于研判仓储产能调度、秋粮收购信贷投放与产后烘干服务设施的配置节奏。","[![Image 1](https:\u002F\u002Fwww.agri.cn\u002Fimages\u002Fny_logo.png)](https:\u002F\u002Fwww.agri.cn\u002F)\n\n[无障碍](javascript:void(0);)[农芯慧答](https:\u002F\u002Fllm.trscd.com.cn\u002Fllm-app\u002F#\u002Fintelligent-qa?code=345059188574435d82b124eb1013e8d1&appId=910)[中华人民共和国农业农村部](https:\u002F\u002Fwww.moa.gov.cn\u002F)\n\n*   [首页](https:\u002F\u002Fwww.agri.cn\u002F)\n*   [机构](https:\u002F\u002Fwww.agri.cn\u002Fjg)\n*   [资讯](https:\u002F\u002Fwww.agri.cn\u002Fzx)\n*   [数据](https:\u002F\u002Fwww.agri.cn\u002Fsj)\n*   [生产](https:\u002F\u002Fwww.agri.cn\u002Fsc)\n*   [信息化](https:\u002F\u002Fwww.agri.cn\u002Fxxh)\n*   [专题](https:\u002F\u002Fwww.agri.cn\u002Fzt)\n*   [视频](https:\u002F\u002Fwww.agri.cn\u002Fvideo)\n\n[首页](https:\u002F\u002Fwww.agri.cn\u002F \"首页\")>[资讯](https:\u002F\u002Fwww.agri.cn\u002Fzx\u002F \"资讯\")>[农业要闻](https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fnyyw\u002F \"农业要闻\")\n\n 国家统计局：全年粮食有望再获丰收 \n\n时间：2026-10-19 来源：新华网\n\n字号：大 中 小![Image 2](https:\u002F\u002Fwww.agri.cn\u002Fimages\u002Fnxw_printIcon.png) 打印 \n\n分享:[](https:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fnyyw\u002F202610\u002Ft20261019_8877177.htm&title=%E5%9B%BD%E5%AE%B6%E7%BB%9F%E8%AE%A1%E5%B1%80%EF%BC%9A%E5%85%A8%E5%B9%B4%E7%B2%AE%E9%A3%9F%E6%9C%89%E6%9C%9B%E5%86%8D%E8%8E%B7%E4%B8%B0%E6%94%B6 \"qq空间\")[](javascript:void(0); \"微信\")[](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fnyyw\u002F202610\u002Ft20261019_8877177.htm&title=%E5%9B%BD%E5%AE%B6%E7%BB%9F%E8%AE%A1%E5%B1%80%EF%BC%9A%E5%85%A8%E5%B9%B4%E7%B2%AE%E9%A3%9F%E6%9C%89%E6%9C%9B%E5%86%8D%E8%8E%B7%E4%B8%B0%E6%94%B6 \"新浪微博\")\n\n国家统计局副局长毛盛勇19日在国新办新闻发布会上说，今年全国夏粮早稻产量合计17904万吨，比上年增加78万吨，增长0.4%。秋粮生产形势良好，全年粮食有望再获丰收。\n\n![Image 3](https:\u002F\u002Fwww.agri.cn\u002Fimages\u002Fnxw_back.png)\n返回顶部\n\n*   [外交部](https:\u002F\u002Fwww.fmprc.gov.cn\u002Fweb\u002F)\n*   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[访问分析](https:\u002F\u002Freport.moa.gov.cn\u002Freport\u002Findex.html)\n\n主办单位：农业农村部信息中心[京ICP备05039419号-1](https:\u002F\u002Fbeian.miit.gov.cn\u002F)最佳浏览模式：1920*1080分辨率 网站保留所有权，未经许可不得复制、镜像[京公网安备 11010502034743号](http:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=11010502034743)\n\n[![Image 9](https:\u002F\u002Fwww.agri.cn\u002Fimages\u002Fny_foot_ico2.png)](https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fnyyw\u002F202610\u002Ft20261019_8877177.htm)\n\n[按回车键在新窗口打开无障碍说明页面,按Ctrl+~键打开导盲模式。](javascript:void(0);)\n\n*   [](javascript:void(0); \"重新设置Shift+1\")重置\n*   [](javascript:void(0); \"声音\")声音\n*   [](javascript:void(0); \"语速\")语速\n*   [](javascript:void(0); \"阅读方式\")阅读方式\n*   [](javascript:void(0); \"切换配色Shift+5\")配色\n*   [](javascript:void(0); \"网页放大Shift+6\")放大\n*   [](javascript:void(0); \"网页缩小Shift+7\")缩小\n*   [](javascript:void(0); \"切换鼠标样式Shift+8\")大鼠标\n*   [](javascript:void(0); \"十字光标\")光标\n*   [](javascript:void(0); \"切换显示屏Shift+0\")显示屏\n*   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2026-10-19","2026-10-19T00:00:00Z","报道",81,{"impact":77,"substance":78,"depth":79,"authority":80,"freshness":81,"relevant":20,"comment":82},26,20,12,15,8,"国家统计局在国新办发布会公布的全国粮食产量数据，权威性强、信息增量明确，但报道篇幅短、分析深度有限，属重要数据发布类资讯。",[84],{"name":72,"url":69},[25,86,28,87],"秋粮生产","夏粮早稻",{"code":89,"slug":90,"name":91,"path":92,"parent_code":93},"J4","seasonal-agriculture","农时与节庆活动","\u002Ftopic\u002Fpolicy\u002Fseasonal-agriculture","J",[],{"status":96,"locked":13,"version":33,"method":34,"evidence":97},"classified",{"candidates":98,"agricultural_evidence":40},[99,104],{"code":89,"score":79,"supported":40,"title":100,"abstract":102,"tags":103},[101],"夏粮",[101],[86],{"code":52,"score":105,"supported":40,"title":106,"abstract":107,"tags":108},4,[],[25],[25],[110,111],"国家统计局 夏粮早稻 产量","毛盛勇 全年粮食 丰收","国家统计局夏粮早稻产量-5410",0,"2026-10-21T00:09:54.007197Z",{"id":116,"title":117,"url":118,"summary":119,"summary_zh":120,"content":8,"source_name":121,"source_url":118,"published_at":122,"category":123,"cover_url":8,"hotness":12,"is_selected":13,"score":124,"score_detail":125,"sources":128,"tags":130,"primary_topic":135,"secondary_topics":141,"classification":142,"search_phrases":171,"slug":174,"view_count":113,"doi":175,"paper":176,"created_at":189},5588,"Certified Temporal Fusion of Artificial Intelligence Climate Analytics for Crop Failure Early Warning Under Sparse Agricultural Sensors: Error Bounds and Famine Relief Targeting","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23545489","Sparse agricultural sensor networks across sub-Saharan Africa leave crop-failure early-warning systems with too little ground observation to support reliable famine relief targeting. The framework treats sensor sparsity as a missing-data problem with a known observation operator and propagates climate-analytics uncertainty through a temporal Kalman-Buys filter whose gain is constrained by a certified risk envelope. Using NASA POWER monthly reanalysis for Accra, Ghana (2000-2023, 312 observations), the analysis establishes a mean temperature of 26.521 C and a warming trend of 0.1622 C per decade, which calibrates the climate-analytics prior. The derived bounds show that relief-targeting error scales with the square root of sensor density and with the Lipschitz constant of the crop-response function, yielding an explicit sensor-placement rule for a target misclassification rate. The contribution is a certified, assumption-explicit bridge between climate analytics and famine relief targeting that states the conditions under which early warning is trustworthy.","撒哈拉以南非洲稀疏的农业传感器网络使得作物歉收预警系统缺乏足够的地面观测数据，难以支撑可靠的饥荒救援目标定位。该框架将传感器稀疏性视为具有已知观测算子的缺失数据问题，并通过时间Kalman-Buys滤波器传播气候分析不确定性，该滤波器的增益受经认证的风险包络约束。利用NASA POWER对加纳阿克拉的月度再分析数据（2000—2023年，312个观测值），分析确定了平均气温为26.521°C、每十年0.1622°C的增暖趋势，据此校准了气候分析先验。推导出的界限表明，救援目标定位误差随传感器密度的平方根以及作物响应函数的Lipschitz常数缩放，从而为目标误分类率给出了明确的传感器布设规则。该研究的贡献在于构建了一个经认证的、假设明确的气候分析与饥荒救援目标定位之间的桥梁，阐明了早期预警可信赖的条件。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z","论文",74,{"impact":79,"substance":17,"depth":126,"authority":79,"freshness":12,"relevant":20,"comment":127},18,"该研究提出一种带误差界认证的时序融合方法，用于稀疏传感器条件下的作物歉收预警与饥荒救援瞄准，方法新颖、结论明确，但案例局限于加纳阿克拉，产业影响有限，适合作为技术前沿条目收录。",[129],{"name":121,"url":118},[131,132,25,133,134],"智慧农业","农业人工智能","遥感","气候分析",{"code":136,"slug":137,"name":138,"path":139,"parent_code":140},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[],{"status":96,"locked":13,"version":33,"method":34,"evidence":143},{"candidates":144,"agricultural_evidence":40},[145,151,157,161,166],{"code":136,"score":146,"supported":40,"title":147,"abstract":149,"tags":150},9,[148],"artificial intelligence",[],[132],{"code":152,"score":39,"supported":40,"title":153,"abstract":154,"tags":156},"I5",[],[155],"农业传感",[],{"code":52,"score":20,"supported":13,"title":158,"abstract":159,"tags":160},[],[],[25],{"code":162,"score":20,"supported":13,"title":163,"abstract":164,"tags":165},"I1",[],[],[131],{"code":167,"score":20,"supported":13,"title":168,"abstract":169,"tags":170},"I3",[],[],[133],[172,173],"NASA POWER 加纳 气候分析","作物歉收 早期预警 传感器","NASAPOWER加纳气候分析-5588","10.5281\u002Fzenodo.23545489",{"doi":175,"openalex_id":177,"authors":178,"venue":121,"cited_by_count":113,"oa_url":118,"card":181,"direction":187,"ingested_from":188},"W7223111766",[179],{"name":180,"orcid":8},"Fatima-Zahra El Khattabi",{"tldr":182,"method":183,"finding":184,"direction":185,"opportunity":186},"提出带误差界的时间融合框架，在稀疏传感器下用气候分析预警作物歉收。","卡尔曼-布西滤波+NASA POWER再分析数据，风险包络约束增益。","救济瞄准误差随传感器密度平方根和作物响应Lipschitz常数缩放，给出布点规则。","农业遥感与作物表型","可将该认证误差界框架扩展到多作物多区域，结合卫星遥感弥补地面传感器稀疏。","农业人工智能与决策模型","openalex","2026-10-22T11:21:02.682497Z",{"id":191,"title":192,"url":193,"summary":194,"summary_zh":8,"content":195,"source_name":196,"source_url":8,"published_at":73,"category":74,"cover_url":8,"hotness":12,"is_selected":13,"score":197,"score_detail":198,"sources":201,"tags":203,"primary_topic":208,"secondary_topics":214,"classification":215,"search_phrases":236,"slug":239,"view_count":113,"doi":8,"paper":8,"created_at":240},5502,"全国秋粮收获超七成 中晚稻已收购1800万吨","https:\u002F\u002Fwww.peopleweekly.cn\u002Fhtml\u002F2026\u002Fsannong_1019\u002F279469.html","农业农村部最新农情调度显示，全国秋粮收获过七成，其中东北过六成，黄淮海、西南过八成，西北近八成，长江中下游过六成，华南过三成。冬小麦播种过一成，冬油菜播种过三成。国家粮食和物资储备局数据显示，各类经营主体已收购中晚稻1800万吨；秋粮产量占全年粮食产量约四分之三。","本报北京10月18日电  （记者郁静娴）据农业农村部最新农情调度，全国秋粮收获过七成。其中，东北过六成，黄淮海、西南过八成，西北近八成，长江中下游过六成，华南过三成。同时，各地秋冬种有序推进，冬小麦播种过一成，冬油菜播种过三成。\n\n本报北京10月18日电  （记者王东辉）记者从国家粮食和物资储备局获悉：各地秋粮旺季收购正有序展开。初步统计，各类经营主体已收购中晚稻1800万吨。\n\n当前秋粮已开始收获上市，秋粮产量占全年粮食产量的3\u002F4左右，涉及品种多、数量规模大、覆盖区域广。相关部门将加强秋粮收购工作统筹组织，抓好市场化收购和政策性收储，落实落细各项政策举措，全力保障农民售粮渠道顺畅、市场平稳运行。","人民日报 2026-10-19",85,{"impact":77,"substance":17,"depth":80,"authority":80,"freshness":199,"relevant":20,"comment":200},7,"全国性秋粮收获与收购权威数据，信息增量足、信源权威，时效稍滞后但值得进入每日精选。",[202],{"name":196,"url":193},[25,204,205,206,207],"冬小麦","秋粮收购","农情调度","中晚稻",{"code":209,"slug":210,"name":211,"path":212,"parent_code":213},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[],{"status":96,"locked":13,"version":33,"method":34,"evidence":216},{"candidates":217,"agricultural_evidence":40},[218,222,228,232],{"code":209,"score":105,"supported":40,"title":219,"abstract":220,"tags":221},[],[211],[204],{"code":223,"score":39,"supported":40,"title":224,"abstract":225,"tags":227},"A4",[],[226],"油菜",[],{"code":52,"score":61,"supported":13,"title":229,"abstract":230,"tags":231},[],[],[205,25],{"code":167,"score":20,"supported":13,"title":233,"abstract":234,"tags":235},[],[],[206],[237,238],"全国秋粮收获 中晚稻收购","国家粮食和物资储备局 秋粮收购","全国秋粮收获中晚稻收购-5502","2026-10-22T00:06:58.371818Z",{"id":242,"title":243,"url":244,"summary":245,"summary_zh":8,"content":246,"source_name":247,"source_url":8,"published_at":122,"category":74,"cover_url":8,"hotness":12,"is_selected":13,"score":248,"score_detail":249,"sources":252,"tags":254,"primary_topic":258,"secondary_topics":264,"classification":265,"search_phrases":281,"slug":284,"view_count":113,"doi":8,"paper":8,"created_at":285},5501,"湖南部署常态化精准帮扶与秋粮收购攻坚战","https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20261021A0DV5F00","10月21日湖南省委副书记谢卫江在全省农业农村工作专题会议上要求，今年是推进常态化帮扶的第一年，要落实30个省级乡村振兴重点帮扶县常态化帮扶机制，坚决守牢不发生规模性返贫致贫底线；同时紧盯中晚稻集中上市，加快解决送粮排队、仓容不足、轮换不畅问题，以农民「种粮卖得出」为底线打好秋粮收购攻坚战。","湖南日报10月21日讯（全媒体记者 黄晗）21日，省委副书记谢卫江在长沙主持召开全省农业农村工作专题会议，深入学习贯彻习近平总书记关于“三农”工作的重要论述精神，落实省委工作要求，部署常态化帮扶、秋粮收购等工作。\n\n谢卫江指出，做好常态化帮扶和秋粮收购工作，事关不发生规模性返贫致贫、维护国家粮食安全“两条底线”。要深学细悟习近平总书记重要指示精神，深刻认识做好这两项工作的特殊重要性、任务艰巨性、时间紧迫性，把这两项工作摆在当前“三农”工作的突出位置抓紧抓好，以实际行动深刻领悟“两个确立”的决定性意义、坚决做到“两个维护”。\n\n谢卫江强调，今年是推进常态化帮扶的第一年。各级各部门要强化答卷意识，压紧压实责任，持续深化去年中央考核评估反馈问题、省级自查督查发现问题整改，严格对照今年中央考核方案做好自查整改，认真落实30个省级乡村振兴重点帮扶县常态化帮扶机制，坚决守牢不发生规模性返贫致贫底线。\n\n谢卫江强调，面对今年粮食收购复杂形势，当前要紧盯中晚稻集中上市，加快解决好送粮排队、仓容不足、轮换不畅等现实问题，坚决打好秋粮收购攻坚战。要处理好立足当前与着眼长远、市场收购与政府托市、促进流通与确保安全、部门工作与群众利益的关系，以农民“种粮卖得出”为底线，以“卖个好价钱”为目标，长短结合、统筹兼顾，坚决扛牢维护国家粮食安全的政治责任。\n\n谢卫江要求，四季度是全年工作冲刺收官的关键期。各级各部门要对账盘点，统筹抓好秋冬农业生产、农业品牌建设、农田水利和高标准农田建设、农业农村重点工作专项整治等工作，确保“十五五”开局之年圆满收官。","湖南日报 2026-10-21",75,{"impact":17,"substance":126,"depth":80,"authority":250,"freshness":146,"relevant":20,"comment":251},11,"省级专题会议部署防返贫与秋粮收购两条底线，政策信号明确、时效性强，但属常规工作部署，信息增量有限。",[253],{"name":247,"url":244},[255,25,256,205,257],"乡村振兴","常态化帮扶","防止返贫",{"code":259,"slug":260,"name":261,"path":262,"parent_code":263},"G6","rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration","G",[],{"status":96,"locked":13,"version":33,"method":34,"evidence":266},{"candidates":267,"agricultural_evidence":40},[268,273,277],{"code":259,"score":269,"supported":40,"title":270,"abstract":271,"tags":272},5,[],[256],[256,257],{"code":263,"score":105,"supported":40,"title":274,"abstract":275,"tags":276},[],[255],[255],{"code":52,"score":61,"supported":13,"title":278,"abstract":279,"tags":280},[],[],[205,25],[282,283],"湖南 秋粮收购","湖南 常态化帮扶","湖南秋粮收购-5501","2026-10-22T00:06:58.311020Z",{"id":287,"title":288,"url":289,"summary":290,"summary_zh":8,"content":291,"source_name":292,"source_url":8,"published_at":122,"category":11,"cover_url":8,"hotness":12,"is_selected":40,"score":293,"score_detail":294,"sources":297,"tags":299,"primary_topic":304,"secondary_topics":308,"classification":309,"search_phrases":346,"slug":349,"view_count":113,"doi":8,"paper":8,"created_at":350},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",91,{"impact":295,"substance":17,"depth":18,"authority":80,"freshness":12,"relevant":20,"comment":296},28,"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。",[298],{"name":292,"url":289},[300,25,301,302,303],"十五五规划","农业农村现代化","农业绿色发展","千万工程",{"code":52,"slug":305,"name":306,"path":307,"parent_code":213},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security",[],{"status":96,"locked":13,"version":33,"method":34,"evidence":310},{"candidates":311,"agricultural_evidence":40},[312,317,321,326,331,336,341],{"code":263,"score":81,"supported":40,"title":313,"abstract":315,"tags":316},[314],"农村发展",[],[],{"code":52,"score":105,"supported":40,"title":318,"abstract":319,"tags":320},[],[25],[25],{"code":322,"score":20,"supported":13,"title":323,"abstract":324,"tags":325},"G4",[],[],[303],{"code":327,"score":20,"supported":13,"title":328,"abstract":329,"tags":330},"H4",[],[],[302],{"code":332,"score":20,"supported":13,"title":333,"abstract":334,"tags":335},"H8",[],[],[302],{"code":337,"score":20,"supported":13,"title":338,"abstract":339,"tags":340},"J1",[],[],[300],{"code":342,"score":20,"supported":13,"title":343,"abstract":344,"tags":345},"J2",[],[],[301],[347,348],"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","2026-10-22T00:06:57.871828Z",{"id":352,"title":353,"url":354,"summary":355,"summary_zh":356,"content":8,"source_name":357,"source_url":354,"published_at":358,"category":123,"cover_url":8,"hotness":12,"is_selected":13,"score":124,"score_detail":359,"sources":363,"tags":365,"primary_topic":370,"secondary_topics":371,"classification":372,"search_phrases":400,"slug":403,"view_count":113,"doi":404,"paper":405,"created_at":423},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",{"impact":18,"substance":78,"depth":360,"authority":361,"freshness":81,"relevant":20,"comment":362},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。",[364],{"name":357,"url":354},[366,367,25,368,369],"数字农业","数字乡村","农业产业链韧性","安徽农业",{"code":52,"slug":305,"name":306,"path":307,"parent_code":213},[],{"status":96,"locked":13,"version":33,"method":34,"evidence":373},{"candidates":374,"agricultural_evidence":40},[375,380,385,390,395],{"code":52,"score":199,"supported":40,"title":376,"abstract":377,"tags":379},[],[25,378],"food security",[25],{"code":162,"score":199,"supported":40,"title":381,"abstract":382,"tags":384},[],[366,383],"digital agriculture",[366],{"code":263,"score":64,"supported":40,"title":386,"abstract":387,"tags":389},[],[314,388],"rural development",[],{"code":337,"score":39,"supported":40,"title":391,"abstract":392,"tags":394},[],[393],"农业政策",[],{"code":396,"score":20,"supported":13,"title":397,"abstract":398,"tags":399},"I6",[],[],[367],[401,402],"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":404,"openalex_id":406,"authors":407,"venue":357,"cited_by_count":113,"oa_url":354,"card":417,"direction":421,"ingested_from":188},"W7223005655",[408,411,413,415],{"name":409,"orcid":410},"Lan Ma","https:\u002F\u002Forcid.org\u002F0000-0003-2468-9917",{"name":412,"orcid":8},"Yuyan Li",{"name":414,"orcid":8},"张国亮",{"name":416,"orcid":8},"Yaoyao Li",{"tldr":418,"method":419,"finding":420,"direction":421,"opportunity":422},"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。","2026-10-21T23:30:29.219265Z"]