[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2914":3,"related-2914":69},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":9,"secondary_topics":32,"classification":33,"search_phrases":41,"slug":44,"view_count":22,"doi":45,"paper":46,"created_at":68},2914,"Food system transformation, social equity and one health in Southern Africa: a gendered political economy analysis","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1904937","Background Food system transformation in Southern Africa occurs alongside persistent gender inequalities, climate vulnerability, and interconnected human-animal-environment health challenges. Structural barriers limit women’s participation in agricultural production and informal markets, harming nutrition, livelihoods and public health. Objectives : This study uses a gendered political economy analysis (PEA) integrated with One Health principles to examine how power dynamics, institutional setups, and actor incentives shape food system outcomes across Malawi, Zambia, Tanzania, and South Africa. It focuses on agricultural production systems and informal food markets. Methods A systematic analysis of empirical evidence across the four target countries evaluated actors, institutions, incentives, and power relations. Operating through a gender framework, the review maps how foundational socioeconomic inequalities influence One Health linkages based on a synthesis of 28 eligible studies ( n = 28). Key findings Synthesis of 28 studies reveals that gendered political economy structures dictate resource allocation and market power. Institutional exclusions regarding land, credit, and extension models bottleneck technology adoption. In informal markets, infrastructure deficits and exclusionary policing compound precarity. Ultimately, these intersecting structural traps drive a critical human-animal-environmental syndemic, directly undermining regional One Health outcomes. Policy implications To achieve sustainable food system transformation, policymakers must dismantle structural gender barriers by prioritizing women’s leadership in governance and supporting women-led enterprises through targeted extension and finance services. Progress depends on a One Health model recognizing gender equity as a structural pillar linking health, agriculture, and environment.","背景 南部非洲的粮食系统转型伴随着持续存在的性别不平等、气候脆弱性以及人—动物—环境健康相互关联的挑战。结构性障碍限制了妇女参与农业生产和非正规市场，损害了营养、生计和公共卫生。目标：本研究采用性别政治经济学分析（PEA），并结合“同一健康”（One Health）原则，考察权力动态、制度安排和行动者激励如何塑造马拉维、赞比亚、坦桑尼亚和南非的粮食系统结果。研究聚焦于农业生产系统和非正规食品市场。方法 对四个目标国家的实证证据进行系统分析，评估行动者、制度、激励和权力关系。该综述通过性别框架运作，基于对28项符合条件研究（n=28）的综合，描绘基础性社会经济不平等如何影响“同一健康”关联。主要发现 对28项研究的综合表明，性别化的政治经济结构决定了资源分配和市场权力。在土地、信贷和推广模式方面的制度性排斥制约了技术采用。在非正规市场中，基础设施不足和排斥性执法加剧了不稳定性。最终，这些相互交织的结构性陷阱推动了严重的人—动物—环境共病（syndemic），直接削弱了区域“同一健康”成果。政策启示 为实现可持续的粮食系统转型，政策制定者必须拆除结构性性别障碍，优先促进妇女在治理中的领导作用，并通过有针对性的推广和金融服务支持妇女主导的企业。进展取决于一种“同一健康”模式，该模式将性别公平视为连接健康、农业和环境的结构性支柱。",null,"Frontiers in Sustainable Food Systems","2026-09-18T00:00:00Z","论文",10,false,71,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,20,17,13,9,1,"基于28项研究的性别政治经济学分析，揭示南部非洲粮食系统结构性障碍与One Health关联，对农业社会政策研究有参考价值，但地域性强、与国内农业信息化关联有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业政策","性别平等","粮食系统转型","同一健康","南部非洲",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"unclassified","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":39,"reason":40},[],true,"缺少足够的主题证据",[42,43],"南部非洲 粮食系统 性别","One Health 性别","南部非洲粮食系统性别-2914","10.3389\u002Ffsufs.2026.1904937",{"doi":45,"openalex_id":47,"authors":48,"venue":10,"cited_by_count":60,"oa_url":6,"card":61,"direction":65,"ingested_from":67},"W7213533788",[49,51,53,56,58],{"name":50,"orcid":9},"Elizabeth Mnenula Namaona",{"name":52,"orcid":9},"McDonald Chabwera",{"name":54,"orcid":55},"William Kasapila","https:\u002F\u002Forcid.org\u002F0000-0003-0874-2087",{"name":57,"orcid":9},"Loveness Mgalamadzi",{"name":59,"orcid":9},"Yananda Madhlopa",0,{"tldr":62,"method":63,"finding":64,"direction":65,"opportunity":66},"用性别政治经济学与One Health框架分析南部非洲四国食物系统转型中的结构性不平等。","系统综述28项研究，分析马拉维、赞比亚、坦桑尼亚、南非的行动者、制度与权力关系。","性别化政治经济结构决定资源与市场权力，导致人-动物-环境共病，损害One Health。","数字乡村与农业信息化","可探索数字推广与普惠金融如何打破性别化土地、信贷和推广排斥，改善One Health结果。","openalex","2026-09-19T23:30:08.056583Z",{"total":70,"page":22,"page_size":70,"items":71},6,[72,153,232,293,330,386],{"id":73,"title":74,"url":75,"summary":76,"summary_zh":77,"content":9,"source_name":10,"source_url":75,"published_at":78,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":79,"score_detail":80,"sources":85,"tags":87,"primary_topic":92,"secondary_topics":98,"classification":99,"search_phrases":134,"slug":137,"view_count":60,"doi":138,"paper":139,"created_at":152},5469,"How institutional digitalization reshapes entrepreneurial activity in new agricultural business forms: quasi-natural experimental evidence from China's Digital Village Pilot Policy","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1946061","New agricultural business forms are a key driving force for developing countries to overcome the constraints of traditional agriculture and achieve sustainability in food systems. However, it remains unclear whether institutional digitalization can effectively stimulate entrepreneurial vitality in new agricultural business forms. This study develops a theoretical framework of “opportunity creation–opportunity identification–opportunity transformation” and treats China's Digital Village Pilot Policy (DVPP), implemented in 2020, as a quasi-natural experiment. Based on panel data from 1,743 counties in China from 2014 to 2023, this study employs Double Machine Learning (DML) and Spatial Durbin Difference-in-Differences (SDM-DID) models, among other methods, to systematically identify the impact, transmission mechanisms, heterogeneous effects, and spatial spillover effects of institutional digitalization on Entrepreneurial Activity in New Agricultural Business Forms (EANA). The results reveal that: (1) DVPP significantly enhances EANA, and this finding remains robust after a series of tests, including placebo tests, Propensity Score Matching–Difference-in-Differences (PSM-DID), Synthetic Control Method–Difference-in-Differences (SCM-DID), and instrumental variable (IV) estimation; (2) agricultural technological innovation, digital infrastructure development, and digital financial development serve as mediating mechanisms; (3) the policy effects are more pronounced in counties with higher levels of digital access, better-developed transportation infrastructure, and higher levels of digital financial development, exhibiting a pattern of Central > Western > Eastern regions, and are significantly stronger in areas with advantages in characteristic agricultural products; (4) DVPP generates a significant negative spatial spillover effect on EANA in neighboring counties. This study expands theoretical understanding of the relationship between institutional digitalization and entrepreneurship in new agricultural business forms and provides empirical evidence for China and other developing countries to optimize digital rural development and foster new agricultural business forms.","农业新业态是发展中国家突破传统农业约束、实现食物系统可持续发展的关键驱动力。然而，制度数字化能否有效激发农业新业态的创业活力仍不明确。本研究构建了“机会创造—机会识别—机会转化”的理论框架，并将中国2020年实施的数字乡村试点政策（Digital Village Pilot Policy，DVPP）视为准自然实验。基于中国1743个县2014—2023年的面板数据，本研究采用双重机器学习（Double Machine Learning，DML）和空间杜宾双重差分（Spatial Durbin Difference-in-Differences，SDM-DID）等模型，系统识别制度数字化对农业新业态创业活动（Entrepreneurial Activity in New Agricultural Business Forms，EANA）的影响、传导机制、异质性效应和空间溢出效应。结果表明：（1）DVPP显著提升了EANA，且该结论在经过安慰剂检验、倾向得分匹配—双重差分（PSM-DID）、合成控制法—双重差分（SCM-DID）和工具变量（IV）估计等一系列检验后依然稳健；（2）农业技术创新、数字基础设施建设和数字金融发展发挥中介机制作用；（3）政策效应在数字接入水平较高、交通基础设施较完善和数字金融发展水平较高的县更为显著，呈现出中部>西部>东部的格局，且在特色农产品优势区显著更强；（4）DVPP对邻近县的EANA产生显著的负向空间溢出效应。本研究拓展了关于制度数字化与农业新业态创业之间关系的理论认识，为中国及其他发展中国家优化数字乡村发展、培育农业新业态提供了经验证据。","2026-10-20T00:00:00Z",85,{"impact":81,"substance":82,"depth":83,"authority":20,"freshness":21,"relevant":22,"comment":84},22,23,18,"基于1743个县面板数据的准自然实验，方法扎实、结论有政策参考价值，值得进入每日精选。",[86],{"name":10,"url":75},[88,89,90,27,91],"数字农业","数字乡村","县域经济","农村创业",{"code":93,"slug":94,"name":95,"path":96,"parent_code":97},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":100,"locked":14,"version":35,"method":36,"evidence":101},"classified",{"candidates":102,"agricultural_evidence":39},[103,109,116,123,129],{"code":93,"score":104,"supported":39,"title":105,"abstract":107,"tags":108},15,[106],"digital village",[89,106],[89],{"code":110,"score":70,"supported":39,"title":111,"abstract":112,"tags":115},"I2",[],[113,114],"机器学习","machine learning",[],{"code":117,"score":118,"supported":39,"title":119,"abstract":120,"tags":122},"G",3,[],[121],"rural development",[],{"code":124,"score":125,"supported":14,"title":126,"abstract":127,"tags":128},"G4",2,[],[],[91,90],{"code":130,"score":22,"supported":14,"title":131,"abstract":132,"tags":133},"I1",[],[],[88],[135,136],"数字乡村试点 新农业业态","DVPP 农村创业","数字乡村试点新农业业态-5469","10.3389\u002Ffsufs.2026.1946061",{"doi":138,"openalex_id":140,"authors":141,"venue":10,"cited_by_count":60,"oa_url":75,"card":147,"direction":65,"ingested_from":67},"W7223041086",[142,144],{"name":143,"orcid":9},"Su Li",{"name":145,"orcid":146},"Changjun Yang","https:\u002F\u002Forcid.org\u002F0009-0000-6236-3489",{"tldr":148,"method":149,"finding":150,"direction":65,"opportunity":151},"用双重机器学习与空间DID评估数字乡村试点政策对新农业业态创业活力的影响。","基于1743县2014-2023面板数据，用DML与SDM-DID做准自然实验。","试点政策显著提升新农业业态创业，经技术创新、数字基建与数字金融中介，并对邻县有负向溢出。","可探究政策负向空间溢出的形成机制及跨县协同激励设计，避免创业资源虹吸。","2026-10-21T23:30:07.205317Z",{"id":154,"title":155,"url":156,"summary":157,"summary_zh":158,"content":9,"source_name":159,"source_url":156,"published_at":160,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":161,"score_detail":162,"sources":165,"tags":167,"primary_topic":172,"secondary_topics":177,"classification":178,"search_phrases":193,"slug":196,"view_count":60,"doi":197,"paper":198,"created_at":231},5318,"Lagged Effects and Mechanisms of Central Environmental Inspection Policies on Agricultural Straw Burning: Evidence from Remote Sensing Data in China","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10668-026-08214-3","Lagged Effects and Mechanisms of Central Environmental Inspection Policies on Agricultural Straw Burning: Evidence from Remote Sensing Data in China。Environment Development and Sustainability","中央环保督察政策对农业秸秆焚烧的滞后效应与作用机制：来自中国遥感数据的证据。《环境、发展与可持续性》","Environment Development and Sustainability","2026-10-19T00:00:00Z",84,{"impact":81,"substance":18,"depth":83,"authority":163,"freshness":13,"relevant":22,"comment":164},14,"基于全国遥感数据评估中央环保督察对秸秆焚烧的滞后效应，数据规模大、方法新颖，对农业环境政策有参考价值，值得进入每日精选。",[166],{"name":159,"url":156},[27,168,169,170,171],"遥感监测","卫星遥感","秸秆焚烧","环保督察",{"code":173,"slug":174,"name":175,"path":176,"parent_code":97},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",[],{"status":100,"locked":14,"version":35,"method":36,"evidence":179},{"candidates":180,"agricultural_evidence":39},[181,188],{"code":173,"score":182,"supported":39,"title":183,"abstract":185,"tags":187},16,[184],"remote 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Wang",{"tldr":225,"method":226,"finding":227,"direction":228,"opportunity":229},"利用遥感数据评估中央环保督察政策对秸秆焚烧的滞后效应与作用机制。","基于中国遥感火点数据构建面板，采用滞后效应模型识别政策影响机制。","中央环保督察对秸秆焚烧具有显著但滞后的抑制效应，并存在区域异质性。","农业绿色发展与碳","可结合地块级遥感与农户调查，量化督察滞后期内秸秆离田利用与替代处置的路径。","农业遥感与作物表型","2026-10-19T23:30:22.693590Z",{"id":233,"title":234,"url":235,"summary":236,"summary_zh":9,"content":237,"source_name":238,"source_url":9,"published_at":239,"category":240,"cover_url":9,"hotness":13,"is_selected":14,"score":241,"score_detail":242,"sources":245,"tags":247,"primary_topic":9,"secondary_topics":251,"classification":252,"search_phrases":288,"slug":291,"view_count":60,"doi":9,"paper":9,"created_at":292},5252,"山东印发《关于大力发展智慧农业的实施意见》鲁政办字〔2026〕85号","http:\u002F\u002Fwww.daiyue.gov.cn\u002Fart\u002F2026\u002F10\u002F14\u002Fart_255813_10401578.html","山东省政府办公厅10月14日印发85号文,提出到2030年粮油作物水肥一体化应用面积达2000万亩、加力推进优势产业智慧转型、智慧赋能设施农业改造升级、智慧赋能畜牧业节本增效、智慧赋能渔业产业提档升级、培育农业人工智能产业生态等7项重点任务,打造全国智慧农业发展高地。","由农业农村部门牵头，加强与发展改革、财政、科技、工业和信息化、自然资源、畜牧兽医、大数据、气象等部门沟通配合，强化省、市、县三级协同联动，确保任务落到实处。统筹乡村振兴重大专项资金等各级相关领域财政资金推进智慧农业建设，重点支持关键技术攻关、数字农业发展县和应用场景建设。省级每年支持建设30个智慧农业应用场景。优化金融服务落实税收优惠政策，支持智慧农业科技企业和创新平台发展。推动高校、科研院所与智慧农业企业深化合作，培养精通信息技术与农业产业的复合型人才。持续推动高素质农民培育、基层农技推广队伍素质提升等项目，提升生产经营主体数字素养与技能。推进智慧农业领域从业人员职业技能培训与评价，吸引各类人才投身智慧农业发展。（省委金融办、省发展改革委、省教育厅、省科技厅、省工业和信息化厅、省财政厅、省人力资源社会保障厅、省自然资源厅、省农业农村厅、省大数据局、省畜牧局、山东金融监管局、省税务局、省气象局按职责分工负责）","岱岳区人民政府(2026-10-14)","2026-10-14T00:00:00Z","政策",75,{"impact":81,"substance":243,"depth":19,"authority":21,"freshness":70,"relevant":22,"comment":244},21,"省级智慧农业实施意见，含资金、场景数量与多部门分工等实质条款，具备政策参考价值。",[246],{"name":238,"url":235},[89,248,249,250,27],"智慧农业","数字素养","应用场景",[],{"status":253,"locked":14,"version":35,"method":36,"evidence":254},"needs_review",{"candidates":255,"agricultural_evidence":39,"reason":287},[256,260,266,272,278,283],{"code":130,"score":17,"supported":39,"title":257,"abstract":258,"tags":259},[248],[248],[248],{"code":261,"score":118,"supported":39,"title":262,"abstract":263,"tags":265},"C",[],[264],"畜牧",[],{"code":267,"score":118,"supported":39,"title":268,"abstract":269,"tags":271},"D",[],[270],"渔业",[],{"code":273,"score":118,"supported":39,"title":274,"abstract":275,"tags":277},"F3",[],[276],"水肥一体化",[],{"code":110,"score":118,"supported":39,"title":279,"abstract":280,"tags":282},[],[281],"农业人工智能",[],{"code":93,"score":125,"supported":14,"title":284,"abstract":285,"tags":286},[],[],[89,249],"多个产业证据相当，需要确认主归属",[289,290],"山东 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相关定额），近日正式发布，将于2026年1 1 月1日起实施。\n\n新发布的《编制规定》及 相关定额 严格依据 高标准农田建设管理政策、工程造价管理规定及《高标准 农田建设 通则》等技术标准，结合 各地 农田建设实际，科学构建了农田建设工程造价编制 定额 体系，明确了农田建设工程费用构成、项目划分标准、概算编制方法及计算标准、概算文件组成，制定了 12 大类工程概预算定额标准以及施工机械台班费定额标准。为 做好 定额 宣贯和实施，同步 组织专家编 写 了农田建设项目概算编制实务、农田建设工程预算综合实例解析 等辅导读本。\n\n下一步，农业农村部 将 组织各地农业农村部门、参建单位等 持续 开展学习 宣介，指导 各地 及时掌握定额编制规则和计价要求。同时，持续跟踪 各地 实施情况，动态完善定额标准体系，不断提升农田建设管理水平，为保障国家粮食安全夯实根基。\n\n相关附件：","农业农村部工程建设服务中心 2026 年 10 月 14 日",92,{"impact":302,"substance":82,"depth":83,"authority":104,"freshness":21,"relevant":22,"comment":303},27,"农业农村部发布的全国性农田建设造价定额新规，条款与实施细节明确，权威性和时效性俱佳，值得进入每日精选。",[305],{"name":299,"url":296},[307,27,308,309,310],"高标准农田","农田建设","工程造价","定额标准",{"code":312,"slug":313,"name":314,"path":315,"parent_code":316},"H1","farmland","耕地保护与高标准农田","\u002Ftopic\u002Fenvironment\u002Ffarmland","H",[],{"status":100,"locked":14,"version":35,"method":36,"evidence":319},{"candidates":320,"agricultural_evidence":39},[321],{"code":312,"score":182,"supported":39,"title":322,"abstract":323,"tags":324},[308],[307,308],[308,307],[326,327],"农田建设项目概算编制规定 2026版","农田建设工程概算定额 农业农村部","农田建设项目概算编制规定2026版-4920","2026-10-15T00:05:52.539574Z",{"id":331,"title":332,"url":333,"summary":334,"summary_zh":9,"content":9,"source_name":335,"source_url":9,"published_at":336,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":337,"sources":339,"tags":341,"primary_topic":344,"secondary_topics":348,"classification":349,"search_phrases":372,"slug":375,"view_count":60,"doi":376,"paper":377,"created_at":385},4783,"Steering smart farming technology adoption toward a safe and just operating space","https:\u002F\u002Fbeta.iopscience.iop.org\u002Farticle\u002F10.1088\u002F2976-601X\u002Faeb127","Adenaeuer等学者首次将安全公正运营空间SJOS概念应用于智慧农业政策设计。文章提出智慧农业采纳率仍低于社会期望,需通过区域特定的政策激励引导最具社会环境价值的技术。文章给出四步实施框架:细分环境社会条件、评分现状、评估单项技术、综合排序。文章为政策制定者、研究者和产业相关方提供决策框架,面向全球应用。文中明确为预印本,未经过同行评审最终版。","IOP Publishing 2026-10-07","2026-10-07T00:00:00Z",{"impact":83,"substance":18,"depth":19,"authority":13,"freshness":70,"relevant":22,"comment":338},"首次将SJOS框架引入智慧农业政策设计，提出四步实施框架，具方法新颖性与政策参考价值，但为未经同行评审的预印本，权威性略打折。",[340],{"name":335,"url":333},[248,27,342,343],"可持续农业","技术采纳",{"code":130,"slug":345,"name":346,"path":347,"parent_code":97},"smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture",[],{"status":100,"locked":14,"version":35,"method":36,"evidence":350},{"candidates":351,"agricultural_evidence":39},[352,357,362,367],{"code":130,"score":353,"supported":39,"title":354,"abstract":355,"tags":356},4,[],[248],[248],{"code":358,"score":118,"supported":39,"title":359,"abstract":360,"tags":361},"J1",[],[27],[],{"code":363,"score":22,"supported":14,"title":364,"abstract":365,"tags":366},"G1",[],[],[343],{"code":368,"score":22,"supported":14,"title":369,"abstract":370,"tags":371},"H8",[],[],[342],[373,374],"Adenaeuer 智慧农业 SJOS","安全公正运营空间 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Model","https:\u002F\u002Fdoi.org\u002F10.24925\u002Fturjaf.v14i10.3038-3043.9028","Today, the global food system is undergoing a multidimensional transformation driven by climate change, population growth and rising food demand. Irregular precipitation regimes, increasing water scarcity and ecosystem degradation are making agricultural production increasingly unpredictable and fragile. In addition to these ecological pressures, shrinking arable land, the ageing agricultural labour force and rising input costs further challenge the sustainability of conventional farming systems. The growing frequency of extreme weather events demonstrates the vulnerability of existing production models and highlights the need for structural transformation in agriculture. Digital agriculture offers a potential solution through a technology-oriented paradigm shift. Technologies such as the Internet of Things (IoT), artificial intelligence (AI)-based decision support systems, remote sensing and precision agriculture enable site-specific resource management, reducing environmental impact while improving productivity. However, the adoption of these technologies is constrained by high investment costs and financial uncertainty, particularly for small and medium-scale producers. Therefore, integrating digital technologies into agricultural production depends on reducing financial and operational risks through effective public policy instruments. This conceptual analysis state-led strategic support mechanisms for digital agricultural transformation within the framework of the National Economy Model (NEM). The model’s production-oriented and cost-protection principles provide a stabilisation framework that may facilitate technological adoption. The study argues that public support mechanisms function not only as financial assistance but also as strategic policy instruments that enhance agricultural resilience and production continuity under climate-related risks.","当今，全球粮食体系正在气候变化、人口增长和粮食需求上升的驱动下经历多维转型。不规则的降水模式、日益加剧的水资源短缺和生态系统退化，使农业生产日益难以预测且脆弱。除这些生态压力外，耕地面积缩减、农业劳动力老龄化和投入成本上升，进一步挑战了传统农业系统的可持续性。极端天气事件日益频繁，表明现有生产模式的脆弱性，并凸显了农业结构性转型的必要性。数字农业通过技术导向的范式转变提供了潜在解决方案。物联网（IoT）、基于人工智能（AI）的决策支持系统、遥感和精准农业等技术，能够实现因地制宜的资源管理，在提高生产力的同时减少环境影响。然而，这些技术的采用受到高投资成本和财务不确定性的制约，对中小规模生产者尤为如此。因此，将数字技术融入农业生产，取决于通过有效的公共政策工具降低财务和运营风险。本概念性分析阐述了在国民经济模式（NEM）框架下，国家主导的战略支持机制对数字农业转型的作用。该模式以生产为导向和成本保护的原则提供了稳定化框架，可能促进技术采用。研究认为，公共支持机制不仅发挥财政援助功能，同时也是增强农业韧性和气候相关风险下生产连续性的战略性政策工具。","Turkish Journal of Agriculture - Food Science and Technology","2026-10-11T00:00:00Z",61,{"impact":17,"substance":104,"depth":163,"authority":17,"freshness":396,"relevant":22,"comment":397},8,"概念性论文，从政策与融资视角讨论气候风险下数字农业转型，有一定理论参考价值但缺乏实证数据，属细分领域学术探讨。",[399],{"name":392,"url":389},[88,248,27,401,402],"农业金融","气候风险",{"code":404,"slug":405,"name":406,"path":407,"parent_code":97},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot",[],{"status":100,"locked":14,"version":35,"method":36,"evidence":410},{"candidates":411,"agricultural_evidence":39},[412,420,427,435,441,445],{"code":130,"score":413,"supported":39,"title":414,"abstract":415,"tags":419},11,[],[416,88,417,418],"精准农业","precision agriculture","digital agriculture",[88,248],{"code":404,"score":21,"supported":39,"title":421,"abstract":422,"tags":426},[],[423,424,425],"物联网","internet of things","IoT",[],{"code":428,"score":429,"supported":39,"title":430,"abstract":431,"tags":434},"H7",7,[],[432,433],"气候变化","climate change",[402],{"code":110,"score":70,"supported":39,"title":436,"abstract":437,"tags":440},[],[438,439],"artificial intelligence","decision support",[],{"code":173,"score":70,"supported":39,"title":442,"abstract":443,"tags":444},[],[186,184],[],{"code":446,"score":118,"supported":39,"title":447,"abstract":448,"tags":450},"H3",[],[449],"水资源",[],[452,453],"数字农业 转型 气候风险","农业政策 农业金融 数字农业 智慧农业","数字农业转型气候风险-4745","10.24925\u002Fturjaf.v14i10.3038-3043.9028",{"doi":455,"openalex_id":457,"authors":458,"venue":392,"cited_by_count":60,"oa_url":389,"card":465,"direction":470,"ingested_from":67},"W7221460591",[459,462],{"name":460,"orcid":461},"Mehmet Metin Özgüven","https:\u002F\u002Forcid.org\u002F0000-0002-6421-4804",{"name":463,"orcid":464},"Saliha Kilavuz","https:\u002F\u002Forcid.org\u002F0009-0006-6830-0730",{"tldr":466,"method":467,"finding":468,"direction":65,"opportunity":469},"基于国民经济模型，从政策与融资视角分析气候风险下数字农业转型的公共支持机制。","概念分析，结合NEM框架与物联网、AI、遥感等数字农业技术。","公共支持不仅是资金援助，更是提升农业气候韧性与生产连续性的战略政策工具。","可实证检验NEM政策工具对中小农户数字技术采纳与融资约束的缓解效果。","智慧农业 \u002F 农业物联网","2026-10-12T23:30:12.745005Z"]