[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3300":3,"related-3300":53},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":8,"secondary_topics":33,"classification":34,"search_phrases":47,"slug":50,"view_count":51,"doi":8,"paper":8,"created_at":52},3300,"乐清种植制度改革 粮油三熟跻身国家级试验——乐清市成为2026年全国农村改革试验区拓展试验任务承担主体之一","https:\u002F\u002Fwww.wenzhou.gov.cn\u002Fcol\u002Fcol1217834\u002Fart\u002F2026\u002Fart_04bf3da51c774c2380c76e9e94d93e83.html","近日，农业农村部等10部委联合印发2026年全国农村改革试验区拓展试验任务安排，乐清市粮油三熟种植制度改革与创新试验位列其中，标志着乐清在破解七山一水二分田资源约束、探索南方亚热带地区高效粮油种植体系上迈出关键一步。乐清通过品种选育、茬口衔接、政策保障的系统集成，试点麦-稻-稻、油-稻-稻等多元化周年三熟种植模式；油-稻-稻、麦-稻-稻模式三季合计补贴分别达710元\u002F亩、740元\u002F亩；推出粮油三熟制种植综合收入保险。乐清还建立全省首批省级现代化农事服务中心蒲岐镇农事服务中心等7家农事服务中心，引进无人驾驶插秧机和智能育秧生产线。",null,"近日，农业农村部等10部委联合印发2026年全国农村改革试验区拓展试验任务安排，乐清市粮油三熟种植制度改革与创新试验位列其中，这标志着乐清在破解“七山一水二分田”资源约束、探索南方亚热带地区高效粮油种植体系上迈出关键一步。\n\n此次获批的拓展试验任务，核心在“制度改革”与“创新突破”。乐清通过品种选育、茬口衔接、政策保障的系统集成，试点“麦—稻—稻”“油—稻—稻”等多元化周年三熟种植模式，为稳粮增油、农民增收提供坚实支撑。\n\n三熟制不是简单把三季作物塞进一年，茬口能否接上是第一道坎。油菜生育期长，容易误了早稻插秧。为此，乐清请来省农科院、浙江理工大学的专家，在960亩试验田里试种“浙油早1号”等8个短生育期品种。截至目前，乐清已开展粮油三熟制适栽品种及配套技术试验20多项。\n\n政策保障同步发力。乐清创新将部分补贴资金前置到生产关键环节，“油—稻—稻”“麦—稻—稻”模式三季合计补贴分别达710元\u002F亩、740元\u002F亩，对连片百亩以上“油—稻—稻”示范项目给予免费种子和2万元专项奖励；同时推出“粮油三熟制种植综合收入保险”，早稻、晚稻每亩保险金额分别为1200元、1400元，农户自负保费仅4.2元、4.9元；大麦、小麦每亩600元，农户自负1.57元；油菜每亩500元，农户自负1.5元。\n\n农机也在跟着农时跑。通过深入实施农业“双强”行动，乐清建起包括全省首批省级现代化农事服务中心——蒲岐镇农事服务中心在内的7家农事服务中心，引进无人驾驶插秧机和智能育秧生产线，推广“1+N”集中工厂化育秧，配壮秧剂育“带蘖壮秧”。通过育秧技术创新提升秧龄弹性，缩短茬口衔接时间，有效缓解茬口紧张问题。\n\n经营方式同样在变。乐清把工业领域“亩均”理念引入农田，以“三位一体”合作模式将个体农户组织起来，由联合社统一提供农资、农机和资金信用服务，开展代耕、代种、代管、代收等“菜单式”服务，探索“保底收益+增值分成”机制，形成“服务中心+示范基地+小农户”的联动推广模式。今年3月，乐清创新构建的“三级联动、三化赋能、三保支撑”工作机制，作为浙江省唯一入选农业农村部全国新型农业经营主体率先提单产示范案例。（记者 程源 乐清融媒记者 孔丽琴）","温州市人民政府 2026年09月20日","2026-09-20T00:15:00Z","报道",10,true,87,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},26,23,18,13,7,1,"国家级农村改革试验区拓展任务落地乐清，粮油三熟制在品种、政策、农机、经营方式上均有实质数据与机制创新，值得进入每日精选。",[25],{"name":10,"url":6},[27,28,29,30,31,32],"农业保险","农事服务中心","粮油三熟","农村改革试验区","种植制度改革","无人驾驶插秧机",[],{"status":35,"locked":36,"version":37,"method":38,"evidence":39},"unclassified",false,"2026-10-22.2","rules",{"candidates":40,"agricultural_evidence":14,"reason":46},[41],{"code":42,"score":22,"supported":36,"title":43,"abstract":44,"tags":45},"G3",[],[],[27],"缺少足够的主题证据",[48,49],"乐清 粮油三熟 种植制度改革","浙油早1号 短生育期油菜","乐清粮油三熟种植制度改革-3300",2,"2026-09-24T00:03:59.195499Z",{"total":54,"page":22,"page_size":54,"items":55},6,[56,110,162,241,343,408],{"id":57,"title":58,"url":59,"summary":60,"summary_zh":8,"content":61,"source_name":62,"source_url":8,"published_at":63,"category":12,"cover_url":8,"hotness":13,"is_selected":36,"score":64,"score_detail":65,"sources":72,"tags":74,"primary_topic":78,"secondary_topics":84,"classification":85,"search_phrases":104,"slug":107,"view_count":108,"doi":8,"paper":8,"created_at":109},4612,"国家级改革试验任务,为何选中了苏州高新区的作物云?","http:\u002F\u002Fwww.snd.gov.cn\u002Fhqqrmzf\u002Fzwxw\u002F202610\u002F89525c03b91346fc86441fa304fcf2d4.shtml","农业农村部、国家发展改革委等10部委批复2026年全国农村改革试验区拓展试验任务,苏州市申报的探索应用作物云数智管理技术精准服务粮食生产成功入选。该平台用1部手机、2张照片、3类信息,围绕适期播栽、适情管理、适熟估产、适时收获四个环节提供精准调度;2025年稻麦季面向苏州8个涉农县区累计发布农情简报96期,服务指导农户4.1万户次。核查准确度接近100%,惠农补贴发放、农技指导环节实现升级。","陆洲介绍，在惠农补贴发放环节，系统能够精准识别作物种类并核查面积，核查准确度接近100%，有效防范虚报造假。在农技指导环节，“作物云”平台依托“AI+遥感+气象数据”，开展稻麦全生命周期观测与预测，为农户提供“一田一策”个性化种植方案。此外，平台联合农业保险机构，实现作物“精准承保、精准理赔”，从源头构建可信、可溯的数据底座，使每一亩地都有清晰的身份画像；构建“天空地”一体化查勘定损体系，实现灾害应对的快速响应、精准核损。","苏州高新区管委会 2026-10-09","2026-10-09T00:00:00Z",75,{"impact":66,"substance":67,"depth":68,"authority":69,"freshness":70,"relevant":22,"comment":71},22,20,16,9,8,"国家级农村改革试验区落地案例，作物云在补贴核查、农技指导与保险理赔上给出可量化成效，具备行业示范价值。",[73],{"name":62,"url":59},[75,27,76,30,77],"智慧农业","遥感监测","作物云",{"code":79,"slug":80,"name":81,"path":82,"parent_code":83},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":86,"locked":36,"version":37,"method":38,"evidence":87},"classified",{"candidates":88,"agricultural_evidence":14},[89,95,99],{"code":79,"score":90,"supported":14,"title":91,"abstract":92,"tags":94},4,[],[93],"估产",[76],{"code":42,"score":22,"supported":36,"title":96,"abstract":97,"tags":98},[],[],[27],{"code":100,"score":22,"supported":36,"title":101,"abstract":102,"tags":103},"I1",[],[],[75],[105,106],"苏州高新区 作物云","作物云 精准承保 遥感","苏州高新区作物云-4612",3,"2026-10-11T00:09:35.550412Z",{"id":111,"title":112,"url":113,"summary":114,"summary_zh":8,"content":8,"source_name":115,"source_url":8,"published_at":116,"category":12,"cover_url":8,"hotness":117,"is_selected":36,"score":118,"score_detail":119,"sources":123,"tags":128,"primary_topic":132,"secondary_topics":138,"classification":139,"search_phrases":156,"slug":159,"view_count":160,"doi":8,"paper":8,"created_at":161},5212,"人保财险联合浙江省农科院发布《无人机施肥施药作业质量划分》团体标准","https:\u002F\u002Fwww.cnr.cn\u002Fzjfw\u002Fmlnb\u002Fnbgd\u002F20261016\u002Ft20261016_527843650.shtml","在宁波举办的首届四明保险论坛科技保险主题活动上,人保财险联合浙江省农业科学院发布《无人机施肥施药作业质量划分》团体标准,为农业无人机作业划定质量标尺,促进低空农业高质量发展和风险防控。","央广网(2026-10-16)","2026-10-16T00:00:00Z",25,68,{"impact":19,"substance":68,"depth":120,"authority":121,"freshness":70,"relevant":22,"comment":122},12,14,"省级科研机构与保险企业联合发布团体标准，为农业无人机作业质量提供标尺，具行业参考价值，但属细分领域进展，未达重大突破层级。",[124,125],{"name":115,"url":113},{"name":126,"url":127},"新浪财经(2026-10-15)","https:\u002F\u002Ffinance.sina.com.cn\u002Fjjxw\u002F2026-10-15\u002Fdoc-inivhyai8038690.shtml",[75,129,130,27,131],"低空经济","无人机","农业标准",{"code":133,"slug":134,"name":135,"path":136,"parent_code":137},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",[],{"status":86,"locked":36,"version":37,"method":38,"evidence":140},{"candidates":141,"agricultural_evidence":14},[142,148,152],{"code":133,"score":143,"supported":14,"title":144,"abstract":146,"tags":147},11,[145],"施肥",[145],[],{"code":42,"score":22,"supported":36,"title":149,"abstract":150,"tags":151},[],[],[27],{"code":100,"score":22,"supported":36,"title":153,"abstract":154,"tags":155},[],[],[75],[157,158],"人保财险 浙江省农科院 无人机施肥","无人机施肥施药 作业质量划分","人保财险浙江省农科院无人机施肥-5212",0,"2026-10-18T00:05:23.058110Z",{"id":163,"title":164,"url":165,"summary":166,"summary_zh":167,"content":8,"source_name":168,"source_url":165,"published_at":169,"category":170,"cover_url":8,"hotness":13,"is_selected":36,"score":171,"score_detail":172,"sources":174,"tags":176,"primary_topic":8,"secondary_topics":181,"classification":182,"search_phrases":217,"slug":220,"view_count":221,"doi":222,"paper":223,"created_at":240},4486,"Climate risk and the production foundations of nutrition security: evidence from grain-supply capacity in Chinese cities","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1960082","Introduction Climate risk poses growing challenges to food availability and the resilience of urban food systems. Methods Using panel data for 298 prefecture-level cities in China from 2010 to 2023, this study employs a two-way fixed-effects model to examine the impact of climate risk on production-side food security, its transmission mechanisms, and regional heterogeneity. Results The results show that climate risk significantly reduces city-level grain output, and this finding remains robust to alternative specifications and endogeneity treatments. Mechanism analyses indicate that climate risk weakens food availability by adversely affecting agricultural mechanization, effective irrigation, grain-sown area, and fiscal support for agriculture. The negative effect is more pronounced in non-major grain-producing areas and regions with lower adaptive capacity. Further analysis suggests that climate risk also undermines agricultural economic performance and food-supply stability. Discussion These findings provide city-level evidence on how climate shocks affect production-side food security and highlight the importance of strengthening agricultural production conditions and adaptive capacity to enhance food-system resilience and safeguard nutrition security.","引言 气候风险对粮食供给和城市食物系统韧性构成的挑战日益严峻。方法 本研究基于2010—2023年中国298个地级市的面板数据，采用双向固定效应模型，考察气候风险对生产端粮食安全的影响、其传导机制及区域异质性。结果 结果表明，气候风险显著降低城市层面粮食产量，且该结论在替换设定和内生性处理后依然稳健。机制分析表明，气候风险通过不利影响农业机械化、有效灌溉、粮食播种面积和财政支农力度，削弱粮食供给能力。这种负面效应在非粮食主产区和适应能力较低的地区更为明显。进一步分析表明，气候风险还会损害农业经济绩效和粮食供给稳定性。讨论 上述发现为气候冲击如何影响生产端粮食安全提供了城市层面的证据，并凸显了强化农业生产条件和适应能力对于增强食物系统韧性和保障营养安全的重要性。","Frontiers in Sustainable Food Systems","2026-10-08T00:00:00Z","论文",79,{"impact":19,"substance":66,"depth":19,"authority":20,"freshness":70,"relevant":22,"comment":173},"基于298个地级市面板数据的实证研究，揭示气候风险通过机械化、灌溉、播种面积和财政支农等渠道削弱城市粮食供给能力，对粮食安全与农业韧性政策有参考价值。",[175],{"name":168,"url":165},[177,27,178,179,180],"粮食安全","农业机械化","城市农业","气候风险",[],{"status":183,"locked":36,"version":37,"method":38,"evidence":184},"needs_review",{"candidates":185,"agricultural_evidence":14,"reason":216},[186,192,199,206,211],{"code":187,"score":21,"supported":14,"title":188,"abstract":189,"tags":191},"A8",[],[177,190],"food security",[177],{"code":193,"score":21,"supported":14,"title":194,"abstract":195,"tags":198},"F5",[],[196,197],"农业机械","机械化",[178],{"code":200,"score":54,"supported":14,"title":201,"abstract":202,"tags":205},"H3",[],[203,204],"灌溉","irrigation",[],{"code":42,"score":90,"supported":14,"title":207,"abstract":208,"tags":210},[],[209],"财政支农",[27],{"code":212,"score":22,"supported":36,"title":213,"abstract":214,"tags":215},"H7",[],[],[180],"多个产业证据相当，需要确认主归属",[218,219],"气候风险 粮食产量 城市","中国城市 粮食供给能力","气候风险粮食产量城市-4486",5,"10.3389\u002Ffsufs.2026.1960082",{"doi":222,"openalex_id":224,"authors":225,"venue":168,"cited_by_count":160,"oa_url":165,"card":233,"direction":237,"ingested_from":239},"W7221050206",[226,228,230],{"name":227,"orcid":8},"Yukun Shan",{"name":229,"orcid":8},"Zhigang Zhou",{"name":231,"orcid":232},"Yuhao Wu","https:\u002F\u002Forcid.org\u002F0000-0002-3899-0949",{"tldr":234,"method":235,"finding":236,"direction":237,"opportunity":238},"基于中国298个地级市面板数据，评估气候风险对城市粮食产能的影响及机制。","2010-2023年地级市面板数据，双向固定效应模型与内生性处理。","气候风险显著降低粮食产量，通过削弱机械化、灌溉、播种面积和财政支农传导。","农业绿色发展与碳","可探究气候风险下数字农业技术（如智能灌溉、精准农机）对粮食产能的缓冲效应与适应机制。","openalex","2026-10-09T23:30:06.477704Z",{"id":242,"title":243,"url":244,"summary":245,"summary_zh":246,"content":8,"source_name":247,"source_url":244,"published_at":248,"category":170,"cover_url":8,"hotness":13,"is_selected":36,"score":249,"score_detail":250,"sources":254,"tags":256,"primary_topic":259,"secondary_topics":265,"classification":271,"search_phrases":317,"slug":320,"view_count":221,"doi":321,"paper":322,"created_at":342},4422,"Artificial intelligence driven framework for enhancing sustainability and resilience in communal cattle insurance in Lupane District Zimbabwe","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44279-026-00786-y","Communal cattle farming in Sub-Saharan Africa continues to face destabilization from non-linear climate variability, yet insurance penetration remains negligible. In Lupane District, Zimbabwe, uptake is exceptionally low at approximately 0.01%, despite recurrent droughts that threaten household livelihoods. This study aimed to develop an AI-driven framework to enhance sustainability and resilience in communal cattle insurance within the district. A positivist research philosophy guided the study, and a quantitative approach was adopted. The Kothari sample size determination formula was applied to derive a statistically representative sample of 219 households from a population of 49,841 communal cattle farmers distributed across four villages in 23 wards. Data were collected through KoboCollect, transmitted to secure servers, and analyzed using JAMOVI version 2.6.44. Descriptive statistics indicated that the majority of farmers were male (62%), with an average age of 47 years and herd sizes ranging from 3 to 25 cattle. Education levels were generally low, with 54% reporting primary schooling and only 12% having secondary or higher qualifications. Income sources were largely subsistence-based, and 71% of respondents relied on cattle as their primary asset. Binary logistic regression revealed that affordability (β = 1.25, p \u003C 0.01) and awareness (β = 0.99, p \u003C 0.01) were the strongest determinants of adoption, while institutional trust (β = 0.74, p \u003C 0.05) emerged as a significant direct predictor of adoption willingness. The study was theoretically anchored in the Technology Acceptance Model (TAM), which explains how perceived usefulness and perceived ease of use influence uptake. Informed by findings from Objectives 1 and 2, the study proposes the Tri-Modular AI Resilience Engine (TMAIE). TMAIE integrates Convolutional Neural Networks (CNN) for biometric cattle identification, Recurrent Neural Networks (RNN) for satellite-derived NDVI index triggers, and Transformer-based Natural Language Processing (NLP) localized in IsiNdebele and ChiShona for inclusive voice-based access. The study findings suggest that adoption is not a linear process but an adaptive evolution requiring both technological and social mechanisms. The proposed framework reflects these relationships through the integration of technological precision and community-based mediation. Overall, the findings provide empirical evidence on the determinants of cattle insurance adoption and inform the development of a conceptual AI-driven framework that may support future climate-resilient livestock insurance innovations, subject to further validation and testing.","撒哈拉以南非洲的社区养牛业持续面临非线性气候变率的冲击，然而保险渗透率仍然微不足道。在津巴布韦卢潘内区，尽管反复发生的干旱威胁着家庭生计，但参保率仍极低，约为0.01%。本研究旨在开发一个人工智能驱动的框架，以提升该区社区养牛保险的可持续性和韧性。本研究以实证主义研究哲学为指导，采用定量研究方法。应用Kothari样本量确定公式，从分布于23个选区4个村庄的49841名社区养牛户总体中，推导出具有统计代表性的219户样本。数据通过KoboCollect采集，传输至安全服务器，并使用JAMOVI 2.6.44版本进行分析。描述性统计表明，大多数农户为男性（62%），平均年龄47岁，牛群规模为3至25头。教育水平普遍较低，54%报告仅接受过小学教育，仅12%拥有中学或更高学历。收入来源大多以自给自足为基础，71%的受访者将牛作为其主要资产。二元逻辑回归显示，可负担性（β = 1.25，p \u003C 0.01）和认知度（β = 0.99，p \u003C 0.01）是参保的最强决定因素，而制度信任（β = 0.74，p \u003C 0.05）则是参保意愿的显著直接预测因素。本研究在理论上以技术接受模型（TAM）为锚点，该模型解释了感知有用性和感知易用性如何影响采纳行为。基于目标1和目标2的研究结果，本研究提出了三模块人工智能韧性引擎（TMAIE）。TMAIE整合了用于牛只生物特征识别的卷积神经网络（CNN）、用于卫星衍生NDVI指数触发的循环神经网络（RNN），以及基于Transformer的、以恩德贝莱语和绍纳语本地化的自然语言处理（NLP），以实现包容性的语音访问。研究结果表明，采纳并非线性过程，而是一种需要技术和社会机制共同作用的自适应演化。所提出的框架通过整合技术精确性与社区中介来反映这些关系。总体而言，研究结果提供了关于养牛保险采纳决定因素的实证证据，并为","Discover Agriculture","2026-10-06T00:00:00Z",70,{"impact":120,"substance":251,"depth":252,"authority":120,"freshness":70,"relevant":22,"comment":253},21,17,"以津巴布韦Lupane地区社区养牛保险为对象，提出融合CNN牛只识别、NDVI遥感触发与本地语言NLP的AI框架，方法具体、数据扎实，但属区域性案例研究，对国内农业信息化有借鉴意义而非直接影响。",[255],{"name":247,"url":244},[257,75,258,27,76],"数字乡村","农业人工智能",{"code":260,"slug":261,"name":262,"path":263,"parent_code":264},"C2","ruminants","草食牲畜","\u002Ftopic\u002Flivestock\u002Fruminants","C",[266],{"code":267,"slug":268,"name":269,"path":270,"parent_code":83},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"status":86,"locked":36,"version":37,"method":38,"evidence":272},{"candidates":273,"agricultural_evidence":14},[274,279,284,289,294,300,304,308,312],{"code":260,"score":143,"supported":14,"title":275,"abstract":277,"tags":278},[276],"cattle",[276],[],{"code":267,"score":69,"supported":14,"title":280,"abstract":282,"tags":283},[281],"artificial intelligence",[],[258],{"code":264,"score":108,"supported":14,"title":285,"abstract":286,"tags":288},[],[287],"livestock",[],{"code":212,"score":108,"supported":14,"title":290,"abstract":291,"tags":293},[],[292],"干旱",[],{"code":295,"score":108,"supported":14,"title":296,"abstract":297,"tags":299},"I7",[],[298],"研究方法",[],{"code":42,"score":22,"supported":36,"title":301,"abstract":302,"tags":303},[],[],[27],{"code":100,"score":22,"supported":36,"title":305,"abstract":306,"tags":307},[],[],[75],{"code":79,"score":22,"supported":36,"title":309,"abstract":310,"tags":311},[],[],[76],{"code":313,"score":22,"supported":36,"title":314,"abstract":315,"tags":316},"I6",[],[],[257],[318,319],"津巴布韦 Lupane 牛保险","AI 牲畜保险 框架","津巴布韦Lupane牛保险-4422","10.1007\u002Fs44279-026-00786-y",{"doi":321,"openalex_id":323,"authors":324,"venue":247,"cited_by_count":160,"oa_url":334,"card":335,"direction":341,"ingested_from":239},"W7220655164",[325,328,331],{"name":326,"orcid":327},"Nyasha Nyakuchena","https:\u002F\u002Forcid.org\u002F0009-0005-3219-2275",{"name":329,"orcid":330},"Joseph P. Musara","https:\u002F\u002Forcid.org\u002F0000-0002-2226-3616",{"name":332,"orcid":333},"Emmanuel Zivenge","https:\u002F\u002Forcid.org\u002F0000-0003-4740-8225","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44279-026-00786-y.pdf",{"tldr":336,"method":337,"finding":338,"direction":339,"opportunity":340},"研究提出AI驱动的三模块框架，以提升津巴布韦Lupane地区社区牛保险的可持续性和韧性。","对219户农户进行问卷调查，用二元逻辑回归分析，并设计CNN、RNN和Trans","可负担性和意识是保险采纳的最强决定因素，机构信任也显著影响采纳意愿。","数字乡村与农业信息化","可验证TMAIE框架在类似地区的适用性，并探索AI语音交互对低教育水平农户保险采纳的长期影响。","智慧农业 \u002F 农业物联网","2026-10-08T23:30:11.018464Z",{"id":344,"title":345,"url":346,"summary":347,"summary_zh":348,"content":8,"source_name":349,"source_url":346,"published_at":248,"category":170,"cover_url":8,"hotness":13,"is_selected":36,"score":171,"score_detail":350,"sources":352,"tags":354,"primary_topic":357,"secondary_topics":358,"classification":359,"search_phrases":384,"slug":387,"view_count":51,"doi":388,"paper":389,"created_at":407},4355,"Agricultural Flood Damage Assessment: A Systematic Review of Methods, Coverage, and Integration Gaps","https:\u002F\u002Fdoi.org\u002F10.5194\u002Fegusphere-2026-3701","Abstract. Agricultural flooding causes tens of billions of dollars in annual losses globally, yet the methods used to assess these losses systematically capture only a fraction of their true economic scope. This systematic review synthesizes 65 peer-reviewed studies published between 1984 and 2025 to evaluate how agricultural flood damage is measured, what damage categories are covered, and where critical methodological gaps persist. We find a structural asymmetry across the reviewed literature – all 65 reviewed studies address direct immediate damages – primarily crop yield loss estimated through depth-damage functions or remote sensing – while direct induced effects appear in only 8 studies, indirect damages in 9, and intangible damages in fewer than 5. This asymmetry has persisted for four decades, through a major remote sensing revolution, because the dominant methods are structurally incapable of measuring damage categories beyond direct immediate losses. We introduce a Methods-by-Damage-Category Matrix that maps eight assessment methods against five damage categories, making the coverage gap visible and providing a diagnostic framework for method selection. Three post-2013 damage frontiers – long-term land productivity degradation, supply chain finance disruption, and farmer mental health – are identified as emerging categories warranting dedicated methodological development. Existing agricultural flood damage estimates used in benefit–cost analyses and disaster compensation are systematically downward-biased; closing this bias requires integrating remote sensing-based physical detection with economic valuation methods capable of capturing the full damage taxonomy.","摘要：农业洪水每年在全球造成数百亿美元损失，然而用于系统评估这些损失的方法仅能捕捉其真实经济影响的一小部分。本系统综述综合了1984年至2025年间发表的65项同行评审研究，评估农业洪水损失如何被测量、涵盖了哪些损失类别，以及关键方法论空白存在于何处。我们发现，所综述文献中存在结构性不对称——全部65项研究均涉及直接即时损失，主要是通过深度-损失函数或遥感估算的作物产量损失——而直接诱发效应仅出现在8项研究中，间接损失出现在9项研究中，无形损失则不足5项。这种不对称已持续四十年，历经遥感技术的重大革命，因为主流方法在结构上无法测量直接即时损失之外的损失类别。我们引入“方法-损失类别矩阵”，将八种评估方法与五类损失类别进行对应，使覆盖缺口清晰可见，并为方法选择提供诊断框架。2013年后的三个损失前沿——长期土地生产力退化、供应链金融中断和农民心理健康——被识别为值得专门方法论开发的新兴类别。现有用于成本效益分析和灾害补偿的农业洪水损失估算存在系统性低估；弥合这一偏差需要将基于遥感的物理检测与能够捕捉完整损失分类的经济估值方法相结合。","OpenAlex",{"impact":19,"substance":66,"depth":19,"authority":20,"freshness":70,"relevant":22,"comment":351},"系统综述揭示农业洪灾损失评估长期偏低估的方法学缺口，提出方法-损失类别矩阵，对灾害补偿与成本收益分析有实质参考价值。",[353],{"name":349,"url":346},[355,177,27,76,356],"农业信息化","灾害评估",{"code":79,"slug":80,"name":81,"path":82,"parent_code":83},[],{"status":86,"locked":36,"version":37,"method":38,"evidence":360},{"candidates":361,"agricultural_evidence":14},[362,368,372,376,380],{"code":79,"score":21,"supported":14,"title":363,"abstract":364,"tags":367},[],[365,366],"遥感","remote sensing",[76],{"code":187,"score":22,"supported":36,"title":369,"abstract":370,"tags":371},[],[],[177],{"code":42,"score":22,"supported":36,"title":373,"abstract":374,"tags":375},[],[],[27],{"code":212,"score":22,"supported":36,"title":377,"abstract":378,"tags":379},[],[],[356],{"code":100,"score":22,"supported":36,"title":381,"abstract":382,"tags":383},[],[],[355],[385,386],"农业洪涝灾害 损失评估","遥感 农作物 灾害损失","农业洪涝灾害损失评估-4355","10.5194\u002Fegusphere-2026-3701",{"doi":388,"openalex_id":390,"authors":391,"venue":8,"cited_by_count":160,"oa_url":346,"card":401,"direction":405,"ingested_from":239},"W7220668753",[392,395,398],{"name":393,"orcid":394},"Shokhrukh–Mirzo Jalilov","https:\u002F\u002Forcid.org\u002F0000-0002-2428-9094",{"name":396,"orcid":397},"Haluk Gedikoğlu","https:\u002F\u002Forcid.org\u002F0000-0002-0158-2597",{"name":399,"orcid":400},"Robert Maltsbarger","https:\u002F\u002Forcid.org\u002F0009-0003-7801-8390",{"tldr":402,"method":403,"finding":404,"direction":405,"opportunity":406},"系统综述65项农业洪水损失评估研究，揭示方法仅覆盖直接即时损失的结构性偏差。","系统综述1984-2025年65篇文献，构建方法-损失类别矩阵。","所有研究仅测直接即时损失，间接、诱导及无形损失严重缺失，致损失估计系统性偏低。","农业遥感与作物表型","可开发融合遥感与经济学估值的方法，量化长期土地退化、供应链金融与农户心理健康等新兴损失类别。","2026-10-07T23:30:25.887527Z",{"id":409,"title":410,"url":411,"summary":412,"summary_zh":413,"content":8,"source_name":168,"source_url":411,"published_at":414,"category":170,"cover_url":8,"hotness":13,"is_selected":36,"score":415,"score_detail":416,"sources":420,"tags":422,"primary_topic":426,"secondary_topics":431,"classification":437,"search_phrases":456,"slug":459,"view_count":108,"doi":460,"paper":461,"created_at":480},4289,"When climate risk intensifies, does insurance pay off? A community case study of China's agricultural insurance reform","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1954205","In the context of mounting global climate threats, fostering resilience in food production systems has become a critical imperative for upholding national food security. This paper exploits the staggered implementation, beginning in 2018, of China's agricultural insurance reforms covering full production costs and planting income as a quasi-natural experiment. Drawing on provincial panel data from 2013 to 2024, we first develop a multidimensional composite index to capture food production resilience. A staggered difference-in-differences specification is then adopted to systematically assess the causal effect of these reforms on such resilience and to explore the underlying transmission channels. Moreover, from a novel climate change perspective, the analysis examines the heterogeneous treatment effects across varying degrees of climate risk exposure. The empirical findings reveal that the policy-led agricultural insurance reform significantly and robustly enhances China's food production resilience. Mechanism tests indicate that advances in agricultural technology and the expansion of large-scale farming operations serve as important pathways through which the insurance policy takes effect. Further investigation shows that climate change risk positively moderates the policy impact: as climate risk intensifies, the marginal contribution of insurance to resilience becomes stronger. Heterogeneity analysis also demonstrates that the policy effect is more pronounced in western China and in localities with higher rates of disaster-induced losses. Taken together, these results offer solid empirical backing for broadening the pilot programs of full cost and planting income insurance. They also establish a theoretical basis for positioning publicly supported agricultural insurance as an effective instrument for climate change adaptation, providing valuable guidance on strengthening the climate adaptability and resilience of food production to ensure national food security.","在全球气候威胁日益加剧的背景下，增强粮食生产系统的韧性已成为维护国家粮食安全的关键任务。本文以2018年起分阶段实施的中国农业保险覆盖完全生产成本和种植收入的改革为准自然实验，基于2013—2024年省级面板数据，首先构建多维复合指数以刻画粮食生产韧性，继而采用交错双重差分模型系统评估该改革对粮食生产韧性的因果效应并探究其传导机制。此外，本文从气候变化这一新视角出发，考察了不同气候风险暴露程度下的异质性处理效应。实证结果表明，政策主导的农业保险改革显著且稳健地提升了中国粮食生产韧性。机制检验表明，农业技术进步与规模化经营扩张是保险政策发挥作用的重要路径。进一步研究发现，气候变化风险对政策效应具有正向调节作用：随着气候风险加剧，保险对韧性的边际贡献增强。异质性分析还表明，政策效应在中国西部地区以及灾害损失率较高的地区更为显著。综上，上述结果为扩大完全成本保险和种植收入保险试点提供了坚实的经验依据，也为将公共支持的农业保险定位为气候变化适应的有效工具奠定了理论基础，为增强粮食生产的气候适应性与韧性、保障国家粮食安全提供了有价值的政策启示。","2026-10-05T00:00:00Z",88,{"impact":417,"substance":18,"depth":418,"authority":121,"freshness":70,"relevant":22,"comment":419},24,19,"基于2013-2024年省级面板数据的交错DID准自然实验，证实农业保险改革显著提升粮食生产韧性且气候风险具有正向调节作用，方法规范、结论可靠，对完善农业保险试点具有政策参考价值。",[421],{"name":168,"url":411},[177,27,423,424,425],"农业政策","气候适应","生产韧性",{"code":42,"slug":427,"name":428,"path":429,"parent_code":430},"rural-finance","农村金融与保险","\u002Ftopic\u002Frural-services\u002Frural-finance","G",[432],{"code":212,"slug":433,"name":434,"path":435,"parent_code":436},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":86,"locked":36,"version":37,"method":38,"evidence":438},{"candidates":439,"agricultural_evidence":14},[440,446,452],{"code":42,"score":441,"supported":14,"title":442,"abstract":444,"tags":445},15,[443],"agricultural insurance",[27,443],[27],{"code":212,"score":13,"supported":14,"title":447,"abstract":448,"tags":451},[],[449,424,450],"气候变化","climate change",[424],{"code":187,"score":21,"supported":14,"title":453,"abstract":454,"tags":455},[],[177,190],[177],[457,458],"农业保险改革 粮食生产韧性","完全成本保险 种植收入保险","农业保险改革粮食生产韧性-4289","10.3389\u002Ffsufs.2026.1954205",{"doi":460,"openalex_id":462,"authors":463,"venue":168,"cited_by_count":160,"oa_url":411,"card":475,"direction":237,"ingested_from":239},"W7220367453",[464,467,469,471,473],{"name":465,"orcid":466},"Changzhe Deng","https:\u002F\u002Forcid.org\u002F0009-0006-0852-5997",{"name":468,"orcid":8},"Maimiao Sun",{"name":470,"orcid":8},"Xueyu Lin",{"name":472,"orcid":8},"Chencan Rao",{"name":474,"orcid":8},"Qiuping Guo",{"tldr":476,"method":477,"finding":478,"direction":237,"opportunity":479},"基于2013-2024省级面板数据，评估中国农业保险改革对粮食生产韧性的因果影响。","多维度韧性指数+交错双重差分，利用2018年起保险改革试点作准自然实验。","保险改革显著提升粮食生产韧性，气候风险越高其边际贡献越强，西部和灾损高地区效果更明显。","可探究保险改革与农业技术、规模化经营的协同机制，及气候风险下保险产品设计与精准赔付的优化路径。","2026-10-06T23:30:05.886883Z"]