[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4203":3,"related-4203":91},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":56,"slug":59,"view_count":21,"doi":60,"paper":61,"created_at":90},4203,"Moderate-scale operation of family farms in China: underlying logic, practical constraints, and optimization pathways for sustainable food systems","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1937247","The transformation of sustainable food systems must reconcile production efficiency and supply resilience with the protection of smallholder livelihoods, and for economies with large populations and limited arable land this reconciliation rests heavily on how the scale of family-farm operation is understood and organized. The academic community has long held theoretical disagreements on this issue between static efficiency standards and dynamic equilibrium perspectives, and no integrated explanatory framework that combines economic logic, social context and temporal dimensions has yet been established. Drawing on new institutional economics, economic sociology, family life-cycle theory and intergenerational transmission theory, and proceeding through theoretical deduction, institutional context analysis and secondary evidence from policy documents, official statistics and literature, this paper develops a triple-constraint dynamic equilibrium framework for the moderate-scale operation of family farms in China; its purpose is explanatory rather than estimative, since no uniform optimal scale is defensible across heterogeneous regional endowments, crop systems, service conditions and family structures. The framework holds that moderate scale is not a fixed value set externally but a dynamic equilibrium interval of operating scale: the economic-efficiency constraint sets its lower bound, the social-embeddedness constraint sets its upper bound, and the intergenerational-sustainability constraint operates as an independent temporal condition that also moderates the position and width of the interval as the family life cycle and succession arrangements change. Seen thus, the factor-market, organisational-coordination and temporal-dimension failures observable in practice appear as three structural tensions that jointly compress the feasible interval and constrain the contribution of family farms to sustainable food-system goals. The contribution lies in bringing social embeddedness and intergenerational sustainability into the analysis of moderate scale, moving beyond a single-efficiency account and offering an integrated explanatory framework for the evolution of family-farm scale in transition economies with fragmented landholdings and household-centred production. The framework applies directly to family farms and other family-centred operations; its three constraints are analytically general, whereas their relative binding strength, the interval's position and the associated policy instruments remain conditional on the institutional environment, particularly China's collective land ownership and household contract responsibility system, so that its reference value for other transition economies is conditional rather than universal.","可持续食物系统的转型必须协调生产效率与供给韧性同小农生计保护之间的关系，而对于人口众多、耕地有限的经济体而言，这种协调在很大程度上取决于如何理解与组织家庭农场的经营规模。学术界长期以来在这一问题上存在理论分歧，表现为静态效率标准与动态均衡视角之间的对立，且尚未建立起一个将经济逻辑、社会情境与时间维度相结合的综合解释框架。本文借鉴新制度经济学、经济社会学、家庭生命周期理论与代际传承理论，通过理论推演、制度情境分析以及来自政策文件、官方统计与文献的二手证据，构建了中国家庭农场适度规模经营的三重约束动态均衡框架；其目的在于解释而非估算，因为在异质的区域禀赋、作物体系、服务条件与家庭结构之间，并不存在一个统一的最优规模。该框架认为，适度规模并非由外部设定的固定数值，而是经营规模的一个动态均衡区间：经济效率约束设定其下限，社会嵌入性约束设定其上限，而代际可持续性约束则作为独立的时间条件发挥作用，并随着家庭生命周期与继承安排的变化调节该区间的位置与宽度。由此观之，实践中可观察到的要素市场、组织协调与时间维度失灵，表现为三种结构性张力，它们共同压缩了可行区间，并制约了家庭农场对可持续食物系统目标的贡献。本文的贡献在于将社会嵌入性与代际可持续性纳入适度规模分析，超越单一效率解释，并为土地细碎化、以家庭为中心生产的转型经济体提供家庭农场规模演变的综合解释框架。该框架直接适用于家庭农场及其他以家庭为中心的经营活动；其三重约束在分析上具有一般性，而它们的相对约束强度、区间的位置以",null,"Frontiers in Sustainable Food Systems","2026-10-05T00:00:00Z","论文",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},12,20,18,13,1,"理论性论文，提出三重约束动态均衡框架，对家庭农场适度规模经营有解释力，但偏学术、政策落地性有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"家庭农场","可持续食物系统","土地制度","适度规模经营","代际传承",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,51],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":50},7,true,[],[26,49],"smallholder",[26],{"code":52,"score":21,"supported":14,"title":53,"abstract":54,"tags":55},"E2",[],[],[27],[57,58],"家庭农场 适度规模经营","中国 家庭农场 可持续食物系统","家庭农场适度规模经营-4203","10.3389\u002Ffsufs.2026.1937247",{"doi":60,"openalex_id":62,"authors":63,"venue":10,"cited_by_count":82,"oa_url":6,"card":83,"direction":87,"ingested_from":89},"W7219629671",[64,67,69,71,73,76,78,80],{"name":65,"orcid":66},"Ning Ding","https:\u002F\u002Forcid.org\u002F0000-0001-5618-6359",{"name":68,"orcid":9},"Jingjing Wang",{"name":70,"orcid":9},"Yong Xia",{"name":72,"orcid":9},"Fuhong Wang",{"name":74,"orcid":75},"Guirong Wang","https:\u002F\u002Forcid.org\u002F0009-0000-3917-003X",{"name":77,"orcid":9},"Yi Lyu",{"name":79,"orcid":9},"Ziyang Wang",{"name":81,"orcid":9},"Yijuan Yang",0,{"tldr":84,"method":85,"finding":86,"direction":87,"opportunity":88},"构建三重约束动态均衡框架，解释中国家庭农场适度规模经营逻辑与优化路径。","新制度经济学、经济社会学、家庭生命周期与代际传递理论，结合政策与统计数据。","适度规模是动态均衡区间：经济效率定下限，社会嵌入定上限，代际可持续为时间条件。","数字乡村与农业信息化","可实证测度三重约束的区间边界，并探究数字技术如何缓解要素市场与组织协调失灵。","openalex","2026-10-05T23:30:07.088111Z",{"total":92,"page":21,"page_size":92,"items":93},6,[94,145,201,261,306,355],{"id":95,"title":96,"url":97,"summary":98,"summary_zh":9,"content":9,"source_name":99,"source_url":9,"published_at":100,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":101,"score_detail":102,"sources":106,"tags":108,"primary_topic":113,"secondary_topics":114,"classification":115,"search_phrases":132,"slug":135,"view_count":21,"doi":9,"paper":136,"created_at":144},3433,"《数字农业发展的信贷融资效应——来自江苏省家庭农场的证据》","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fzgncgc\u002Fmulu\u002F647040.html","周月书、葛云杰使用江苏省家庭农场实地问卷调查数据考察数字农业发展的信贷融资效应及其作用机制。研究发现：数字农业发展显著提升了家庭农场的信贷可得性与信贷融资规模；机制上通过缓解信息不对称程度、降低信贷交易成本和提升风险抵御能力促进家庭农场融资；异质性分析发现数字农业发展对于所在地农业技术发展环境较好、农技人员服务水平较高的家庭农场，以及家庭农场主资本禀赋较低、金融认知能力较低以及种植粮食作物的家庭农场具有更显著的融资增进作用。","《中国农村观察》\u002F南京农业大学","2026-09-20T00:00:00Z",78,{"impact":19,"substance":103,"depth":19,"authority":104,"freshness":92,"relevant":21,"comment":105},22,14,"基于江苏家庭农场实地调研的实证研究，机制与异质性分析扎实，对数字普惠金融与新型经营主体融资有参考价值。",[107],{"name":99,"url":97},[109,26,110,111,112],"数字农业","江苏","农村金融","信贷融资",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":116},{"candidates":117,"agricultural_evidence":46},[118,122,127],{"code":32,"score":17,"supported":46,"title":119,"abstract":120,"tags":121},[26],[26],[26],{"code":123,"score":17,"supported":46,"title":124,"abstract":125,"tags":126},"I1",[109],[109],[109],{"code":128,"score":21,"supported":14,"title":129,"abstract":130,"tags":131},"G3",[],[],[111],[133,134],"江苏 家庭农场 数字农业 信贷","周月书 数字农业 融资","江苏家庭农场数字农业信贷-3433",{"doi":9,"openalex_id":9,"authors":137,"venue":9,"cited_by_count":82,"oa_url":9,"card":138,"direction":87,"ingested_from":143},[],{"tldr":139,"method":140,"finding":141,"direction":87,"opportunity":142},"基于江苏家庭农场调查，研究数字农业发展对信贷融资的影响及机制。","江苏省家庭农场实地问卷调查数据，实证分析信贷效应与机制。","数字农业显著提升信贷可得性与规模，通过缓解信息不对称、降成本、提风险抵御力实现。","可探究数字农业融资效应在不同区域和作物类型间的差异，及金融科技的中介作用。","agent","2026-09-25T00:09:33.572434Z",{"id":146,"title":147,"url":148,"summary":149,"summary_zh":150,"content":9,"source_name":10,"source_url":148,"published_at":151,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":101,"score_detail":152,"sources":157,"tags":159,"primary_topic":164,"secondary_topics":165,"classification":166,"search_phrases":179,"slug":182,"view_count":183,"doi":184,"paper":185,"created_at":200},2035,"Family farm development, agricultural technical efficiency and farmers’ income","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1880985","This study examines how family farm development is associated with farmers’ income using prefecture-level panel data from China spanning 2013 to 2024. We employ a two-way fixed-effects framework with standard errors clustered at the prefecture-level city, and measure regional agricultural technical efficiency using data envelopment analysis under variable returns to scale (DEA–VRS). The results show a significant positive association between family farm development and farmers' income, though the magnitude is modest. Instrumental variable estimates confirm the robustness of this association, with coefficients significantly larger than ordinary least squares results, revealing a pattern of negative selection in which family farms develop more rapidly in areas with weaker agricultural conditions. Mechanism tests indicate that agricultural technical efficiency serves as a partial mediator, while direct channels play the dominant role. Interaction-based heterogeneity analysis shows that the income-enhancing association is significantly stronger in western, non-major-grain-producing, and economically less-developed regions, consistent with diminishing marginal returns to organizational innovation. The findings provide empirical evidence for understanding the regional income effects of family farm development and inform the design of regionally differentiated policies.","本研究利用2013—2024年中国地级市面板数据，考察家庭农场发展与农民收入之间的关联。我们采用双向固定效应框架，并将标准误聚类到地级市层面，同时使用可变规模报酬下的数据包络分析（DEA–VRS）测度区域农业技术效率。结果表明，家庭农场发展与农民收入之间存在显著正相关，但幅度较为有限。工具变量估计证实了该关联的稳健性，且系数显著大于普通最小二乘结果，揭示出一种负向选择模式，即家庭农场在农业条件较弱的地区发展更快。机制检验表明，农业技术效率发挥部分中介作用，而直接渠道占主导地位。基于交互项的异质性分析显示，这种增收关联在西部、非粮食主产区和经济欠发达地区显著更强，这与组织创新的边际收益递减规律相一致。研究结论为理解家庭农场发展的区域收入效应提供了经验证据，并为区域差异化政策设计提供了参考。","2026-09-09T00:00:00Z",{"impact":19,"substance":153,"depth":154,"authority":20,"freshness":155,"relevant":21,"comment":156},21,17,9,"基于2013—2024年地级面板数据与DEA-VRS、工具变量法的实证研究，结论扎实且具区域差异化政策含义，值得进入每日精选。",[158],{"name":10,"url":148},[160,26,161,162,163],"农民增收","农业政策","区域差异","农业技术效率",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":167},{"candidates":168,"agricultural_evidence":46},[169,174],{"code":32,"score":170,"supported":46,"title":171,"abstract":172,"tags":173},4,[],[26],[26],{"code":175,"score":21,"supported":14,"title":176,"abstract":177,"tags":178},"G6",[],[],[160],[180,181],"农业技术效率 农业政策 农民增收 区域差异","农业技术效率 农业政策","农业技术效率农业政策农民增收区域差异-2035",5,"10.3389\u002Ffsufs.2026.1880985",{"doi":184,"openalex_id":186,"authors":187,"venue":10,"cited_by_count":82,"oa_url":148,"card":195,"direction":87,"ingested_from":89},"W7212082704",[188,191,193],{"name":189,"orcid":190},"Lin Fang","https:\u002F\u002Forcid.org\u002F0009-0001-1710-8144",{"name":192,"orcid":9},"Jingyu YIN",{"name":194,"orcid":9},"Zhou Fangzhou",{"tldr":196,"method":197,"finding":198,"direction":87,"opportunity":199},"基于中国地级市面板数据，检验家庭农场发展对农民收入的关联及农业技术效率的中介作用。","2013-2024年地级市面板数据，双向固定效应、DEA-VRS测效率、工具变量","家庭农场发展与农民收入显著正相关但幅度有限，技术效率仅部分中介，直接渠道主导，西部和欠发达地区效应更","可探究数字技术\u002F信息化服务如何增强家庭农场对农民收入的直接渠道，并关注欠发达地区的异质性机制。","2026-09-10T23:30:07.795645Z",{"id":202,"title":203,"url":204,"summary":205,"summary_zh":9,"content":206,"source_name":207,"source_url":9,"published_at":208,"category":209,"cover_url":9,"hotness":13,"is_selected":14,"score":210,"score_detail":211,"sources":216,"tags":218,"primary_topic":223,"secondary_topics":224,"classification":225,"search_phrases":256,"slug":259,"view_count":213,"doi":9,"paper":9,"created_at":260},152,"农业农村部答复第1626号建议：2024年底家庭农场395.2万个、合作社203.5万家、社会化服务主体111.1万个","https:\u002F\u002Fcj.sina.com.cn\u002Farticle\u002Fnorm_detail?url=https%3A%2F%2Ffinance.sina.com.cn%2Froll%2F2026-08-01%2Fdoc-inikvpac0429792.shtml&finpagefr=w_110","农业农村部答复十四届全国人大四次会议第1626号建议，明确持续支持家庭农场与农民专业合作社参与财政支农项目申报。中央财政粮油生产保障、农业产业发展、农业经营主体能力提升、农业生态资源保护等资金均将符合条件的家庭农场、合作社等新型农业经营主体纳入支持范围；2026年印发《新型农业经营主体提质增效带动小农户增收行动方案》，强化信息化监管（转移支付管理平台）和联农带农机制。","中央财政粮油生产保障、农业产业发展、农业经营主体能力提升、农业生态资源保护等资金均将符合条件的家庭农场、农民合作社等新型农业经营主体纳入支持范围。其中，2026年安排资金重点支持家庭农场、农民合作社等新型农业经营主体，因地制宜推广应用单产提升品种、技术、装备、模式，提高生产经营规范化发展水平；安排资金支持符合条件的农民合作社、家庭农场等各类服务主体围绕粮食和重要农产品生产、聚焦小农户和农业生产薄弱环节开展社会化服务。据农经统计，截至2024年底，全国共有家庭农场395.2万个，农民合作社203.5万家，各类农业社会化服务主体数量达111.1万个，服务小农户近9300万户，年服务面积超过22.9亿亩次。","农业农村部2026年7月28日 \u002F 新浪财经2026-08-01转载","2026-08-01T00:00:00Z","政策",85,{"impact":212,"substance":103,"depth":213,"authority":104,"freshness":214,"relevant":21,"comment":215},25,16,8,"全国性政策答复，含最新数据与资金支持细节，权威性高，时效性较好。",[217],{"name":207,"url":204},[26,219,220,221,222],"合作社","新型农业经营主体","财政支农","联农带农",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":226},{"candidates":227,"agricultural_evidence":46},[228,234,238,243,250],{"code":32,"score":212,"supported":46,"title":229,"abstract":231,"tags":233},[26,230],"社会化服务",[26,232],"小农户",[219,26,220],{"code":128,"score":170,"supported":46,"title":235,"abstract":236,"tags":237},[],[221],[221],{"code":239,"score":170,"supported":46,"title":240,"abstract":241,"tags":242},"G4",[],[222],[222],{"code":244,"score":245,"supported":46,"title":246,"abstract":247,"tags":249},"F5",3,[],[248],"农机",[],{"code":251,"score":245,"supported":46,"title":252,"abstract":253,"tags":255},"H6",[],[254],"农业生态",[],[257,258],"新型农业经营主体 家庭农场 联农带农 财政支农","新型农业经营主体 家庭农场","新型农业经营主体家庭农场联农带农财政支农-152","2026-08-01T23:53:41.991886Z",{"id":262,"title":263,"url":264,"summary":265,"summary_zh":9,"content":206,"source_name":266,"source_url":9,"published_at":267,"category":209,"cover_url":9,"hotness":13,"is_selected":46,"score":268,"score_detail":269,"sources":273,"tags":275,"primary_topic":281,"secondary_topics":282,"classification":283,"search_phrases":301,"slug":304,"view_count":213,"doi":9,"paper":9,"created_at":305},62,"农业农村部答复第1626号建议：家庭农场\"一码通\"赋码与\"随手记\"信息化财务记账成为申报硬门槛","https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002FCWS\u002F202607\u002Ft20260728_6486281.htm","2026-07-28 农业农村部公布对十四届全国人大四次会议第1626号建议（关于支持家庭农场与农民合作社参与财政支农项目申报）的答复。截至2024年底，全国共有家庭农场395.2万个、农民合作社203.5万家、各类农业社会化服务主体111.1万个，服务小农户近9300万户、年服务面积超22.9亿亩次。2026年新型农业经营主体提质增效带动小农户增收行动方案明确将\"一码通\"赋码、信息化财务记账软件\"随手记\"纳入申报前置条件，扶持政策与带动农户增收挂钩，粮油规模种植主体单产提升专项首次开辟\"集中连片种植+率先集成应用单产提升技术和模式\"的政策通道。","农业农村部 · 2026-07-28","2026-07-28T00:00:00Z",92,{"impact":270,"substance":103,"depth":19,"authority":271,"freshness":155,"relevant":21,"comment":272},28,15,"全国性政策，含具体资金安排与最新统计数据，信息增量大，权威性高，时效性好。",[274],{"name":266,"url":264},[209,276,26,219,277,278,279,280],"农业农村部","一码通","随手记","数字化","单产提升",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":284},{"candidates":285,"agricultural_evidence":46},[286,292,297],{"code":32,"score":287,"supported":46,"title":288,"abstract":289,"tags":291},19,[26],[290,26,230,232],"农民合作社",[219,26],{"code":293,"score":170,"supported":46,"title":294,"abstract":295,"tags":296},"A8",[],[280],[280],{"code":128,"score":245,"supported":46,"title":298,"abstract":299,"tags":300},[],[221],[],[302,303],"农业农村部 单产提升 家庭农场 一码通","农业农村部 单产提升","农业农村部单产提升家庭农场一码通-62","2026-07-29T23:54:12.361730Z",{"id":307,"title":308,"url":309,"summary":310,"summary_zh":9,"content":311,"source_name":312,"source_url":9,"published_at":313,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":314,"sources":317,"tags":319,"primary_topic":324,"secondary_topics":325,"classification":326,"search_phrases":348,"slug":351,"view_count":352,"doi":353,"paper":9,"created_at":354},53,"数字素养、虚拟社交网络与家庭农场新技术采纳：来自中国辽宁421户种植型家庭农场的证据","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1915916\u002Ffull","基于辽宁省14个地级市421户种植型家庭农场的田野调查数据，运用Poisson回归与Tobit模型考察数字素养对新技术采纳数量与需求实现度的影响。研究发现数字素养显著增加新技术采纳数量，并与需求实现度呈倒U型关系；异质性分析显示在非示范家庭农场和低教育经营者中效应更明显；机制分析显示数字素养通过扩展家庭农场经营者的虚拟社交网络影响新技术采纳数量与需求实现度；进一步分析表明信贷可及性在数字素养与需求实现度倒U型关系中起调节作用。研究为提升家庭农场经营者数字素养、优化农技供给、推进可持续农业转型提供实证依据。","[](https:\u002F\u002Fwww.frontiersin.org\u002F)\n\n[![Image 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Sustain. Food Syst.\n\nSec. Agricultural and Food Economics\n\nVolume 10 - 2026 |  doi: 10.3389\u002Ffsufs.2026.1915916\n\n[Published in ![Image 6: Frontiers in Sustainable Food Systems](https:\u002F\u002Fd2csxpduxe849s.cloudfront.net\u002Fmedia\u002FE32629C6-9347-4F84-81FEAEF7BFA342B3\u002FF3B1CE16-45F3-4D96-BE72BE0491F0DAF2\u002Fwebimage-08DFEB67-EB21-43D0-995D8A1DFF53DB18.png) Frontiers in Sustainable Food Systems * #### Agricultural and Food Economics * **4.1** impact factor * **6** citescore](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems)[Part of a Research Topic Adoption and Economics of ICT-Enabled Agricultural Extension and Information Services Submission open * **5472** views * **4** articles](https:\u002F\u002Fwww.frontiersin.org\u002Fresearch-topics\u002F78643\u002Fadoption-and-economics-of-ict-enabled-agricultural-extension-and-information-services)\n\n### Reviewers\n\nReviewed by\n\n![Image 7: 2 Anonymous reviewers](https:\u002F\u002Fstatic2.frontiersin.org\u002Fstatic-resources\u002Fimages\u002Fdefault_profileimage.webp)\n\n2 Anonymous reviewers\n\nOutline\n\n*    [Abstract](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1915916\u002Ffull#h1)\n\n## ORIGINAL RESEARCH article\n\nFront. Sustain. Food Syst.\n\nSec. Agricultural and Food Economics\n\n# Digital literacy, virtual social networks and new agricultural technologies adoption: evidence from Chinese crop-producing family farms\n\n*   [![Image 8: Shuxin Li](https:\u002F\u002Floop.frontiersin.org\u002Fimages\u002Fprofile\u002F3572041\u002F74) Shuxin Li](https:\u002F\u002Floop.frontiersin.org\u002Fpeople\u002F3572041)\n*   [![Image 9: Xu Li](https:\u002F\u002Floop.frontiersin.org\u002Fimages\u002Fprofile\u002F3565411\u002F74) Xu Li](https:\u002F\u002Floop.frontiersin.org\u002Fpeople\u002F3565411)\n\n*   Shenyang Agricultural University, Shenyang, China\n\nArticle metrics\n\n[View details](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1915916\u002Ffull#metrics)\n\n106\n\nViews\n\nThe final, formatted version of the article will be published soon.\n\nNotify me\n\nSelect one of your emails\n\nYou have multiple emails registered with Frontiers:\n\nNotify me\n\nNotify me on publication\n\nPlease enter your email address:\n\nEmail \n\nIf you already have an account, please [login](https:\u002F\u002Fwww.frontiersin.org\u002Flogin?returnUrl=\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1915916\u002Fabstract)\n\nYou don't have a Frontiers account ? You can [register here](https:\u002F\u002Fwww.frontiersin.org\u002Fregister?returnUrl=\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1915916\u002Fabstract)\n\nNotify me\n\n## Abstract\n\nThe adoption of new agricultural technologies is essential for improving agricultural productivity, advancing sus","Frontiers in Sustainable Food Systems · 2026-07-24","2026-07-24T00:00:00Z",{"impact":19,"substance":103,"depth":19,"authority":20,"freshness":315,"relevant":21,"comment":316},2,"学术论文，研究数字素养与虚拟社交网络对家庭农场技术采纳的影响，基于辽宁421户样本，方法新颖，数据可靠，但发表于4天前，时效性较低。",[318],{"name":312,"url":309},[320,321,26,322,323],"农业信息化","数字素养","新技术采纳","虚拟社交网络",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":327},{"candidates":328,"agricultural_evidence":46},[329,333,339,343],{"code":32,"score":17,"supported":46,"title":330,"abstract":331,"tags":332},[26],[26],[26],{"code":334,"score":245,"supported":46,"title":335,"abstract":336,"tags":338},"H8",[],[337],"可持续农业",[],{"code":123,"score":21,"supported":14,"title":340,"abstract":341,"tags":342},[],[],[320],{"code":344,"score":21,"supported":14,"title":345,"abstract":346,"tags":347},"I6",[],[],[321],[349,350],"虚拟社交网络 农业信息化 新技术采纳 家庭农场","虚拟社交网络 农业信息化","虚拟社交网络农业信息化新技术采纳家庭农场-53",11,"10.3389\u002Ffsufs.2026.1915916\u002Ffull","2026-07-28T23:53:31.274355Z",{"id":356,"title":357,"url":358,"summary":359,"summary_zh":360,"content":9,"source_name":361,"source_url":358,"published_at":362,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":363,"score_detail":364,"sources":366,"tags":368,"primary_topic":373,"secondary_topics":374,"classification":381,"search_phrases":397,"slug":400,"view_count":82,"doi":401,"paper":402,"created_at":417},5592,"Evaluation of Concept-Rank Collapse Audits for Computer Vision Agriculture Disease Classifiers Under Low-Label Regimes: An Interpretability Capacity Bound for Smallholder Fungicide Selectivity","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23545193","Concept-based interpretability methods for plant-disease classifiers are typically evaluated by whether their concept activations correlate with human-annotated labels, but this criterion is silent on a prior question: whether the classifier's internal representation retains enough concept-rank structure for any audit to be informative. the present analysis formalises that prior question as an interpretability capacity bound. A classifier is modelled as a concept-rank operator whose singular values govern how much concept-level signal survives the projection from pixel space to class logits, and a collapse audit is defined as the ratio of retained concept-rank energy to total concept energy. Under a low-label regime, where concept annotations are scarce and the audit must be estimated from few labelled examples, the bound predicts that audit reliability degrades as a function of the concept-rank spectrum and the label budget. The analysis is a theoretical and methodological contribution: it derives the bound, states the conditions under which a collapse audit is identifiable, and characterises the operating characteristics of the audit as a decision procedure under a declared variance structure (between-cluster SD = 6.0, residual SD = 4.5, intraclass correlation = 0.64). Power was estimated across 2000 design cells for cluster counts of 8, 16, 24 and 32 and effect sizes of 3, 5 and 8 percentage points; 52 clusters were required for 5 percentage points at 80% power. The bound reframes concept audits as capacity tests rather than fidelity tests, with consequences for how smallholder fungicide-selectivity decisions should be supported by interpretable disease classifiers.","面向植物病害分类器的基于概念的可解释性方法，通常以其概念激活是否与人工标注标签相关作为评价标准，但该标准对一个更先前的问题保持沉默：分类器的内部表征是否保留了足够的概念秩结构，从而使任何审计具有信息量。本分析将该先前问题形式化为一个可解释性容量上界。分类器被建模为概念秩算子，其奇异值支配着从像素空间到类别logits的投影中概念级信号得以保留的程度，并将坍缩审计定义为保留的概念秩能量与总概念能量之比。在低标签情形下，概念标注稀缺且审计必须由少量标注样本估计，该上界预测审计可靠性会随概念秩谱和标签预算的函数而退化。本分析是一项理论和方法论贡献：推导出该上界，陈述坍缩审计可识别的条件，并在声明的方差结构（簇间SD = 6.0，残差SD = 4.5，组内相关系数 = 0.64）下刻画审计作为决策程序的操作特征。在2000个设计单元中，针对簇数为8、16、24和32以及效应量为3、5和8个百分点的情形估计了功效；在80%功效下达到5个百分点需要52个簇。该上界将概念审计重新框定为容量检验而非保真度检验，并对可解释病害分类器应如何支持小农杀菌剂选择性决策具有启示意义。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z",69,{"impact":214,"substance":153,"depth":19,"authority":17,"freshness":13,"relevant":21,"comment":365},"理论方法论文，提出可解释性容量上界并给出审计功效分析，对智慧农业病害识别可信度有参考价值，但属小众方法学研究、缺乏田间实证，暂不宜进入每日精选。",[367],{"name":361,"url":358},[369,370,232,371,372],"智慧农业","农业人工智能","植物病害识别","可解释性",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[375],{"code":376,"slug":377,"name":378,"path":379,"parent_code":380},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":39,"locked":14,"version":40,"method":41,"evidence":382},{"candidates":383,"agricultural_evidence":46},[384,388,393],{"code":32,"score":17,"supported":46,"title":385,"abstract":386,"tags":387},[49],[49],[232],{"code":376,"score":13,"supported":46,"title":389,"abstract":391,"tags":392},[390],"computer vision",[],[370,371],{"code":123,"score":21,"supported":14,"title":394,"abstract":395,"tags":396},[],[],[369],[398,399],"农业人工智能 植物病害识别 可解释性 智慧农业","农业人工智能 植物病害识别","农业人工智能植物病害识别可解释性智慧农业-5592","10.5281\u002Fzenodo.23545193",{"doi":401,"openalex_id":403,"authors":404,"venue":361,"cited_by_count":82,"oa_url":358,"card":411,"direction":415,"ingested_from":89},"W7223137323",[405,407,409],{"name":406,"orcid":9},"Akshay Ramgoolam",{"name":408,"orcid":9},"Priya Bundhoo Appadoo",{"name":410,"orcid":9},"Jean-Noël LEspérance",{"tldr":412,"method":413,"finding":414,"direction":415,"opportunity":416},"提出可解释性容量上界，评估低标签下概念秩崩溃审计的可靠性。","将分类器建模为概念秩算子，推导容量上界并做2000格功效模拟。","审计可靠性随概念秩谱与标签预算下降；5个百分点效应需52个聚类达80%功效。","农业人工智能与决策模型","可将容量上界用于小农户杀菌剂选择性决策的可解释模型审计与标签预算设计。","2026-10-22T11:21:10.425290Z"]