[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2185":3,"related-2185":63},{"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":31,"secondary_topics":37,"classification":38,"search_phrases":58,"slug":61,"view_count":53,"doi":8,"paper":8,"created_at":62},2185,"农业农村部办公厅征集2026年新型农业经营主体提质增效带动小农户增收行动项目","https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002F","农业农村部办公厅面向社会公开征集2026年新型农业经营主体提质增效带动小农户增收行动项目,落实《加快农业农村现代化\"十五五\"规划》中关于健全现代农业经营服务体系、实施新型农业经营主体提质增效带动小农户增收行动的部署,推动新型农业经营主体与小农户建立紧密利益联结机制。",null,"![Image 1](https:\u002F\u002Fwww.moa.gov.cn\u002Fgovpublic\u002Fimages\u002Ftopbg_0506_pc.jpg)![Image 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2026年9月10日","2026-09-10T00:00:00Z","政策",10,false,81,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},26,18,14,15,8,1,"农业农村部办公厅面向全国征集2026年新型农业经营主体提质增效带动小农户增收项目，属部委级政策部署，方向明确但正文以导航信息为主、缺少具体申报条款细节，时效性较好，值得进入每日精选。",[25],{"name":10,"url":6},[27,28,29,30],"新型农业经营主体","农业政策","小农户增收","项目申报",{"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":49,"tags":50},12,true,[48],"小农户",[48],[27],{"code":52,"score":53,"supported":46,"title":54,"abstract":55,"tags":57},"J2",3,[],[56],"农业农村现代化",[],[59,60],"新型农业经营主体 小农户增收 农业政策 项目申报","新型农业经营主体 小农户增收","新型农业经营主体小农户增收农业政策项目申报-2185","2026-09-12T00:06:35.388603Z",{"total":64,"page":22,"page_size":64,"items":65},6,[66,135,191,259,315,379],{"id":67,"title":68,"url":69,"summary":70,"summary_zh":71,"content":8,"source_name":72,"source_url":69,"published_at":73,"category":74,"cover_url":8,"hotness":13,"is_selected":46,"score":15,"score_detail":75,"sources":79,"tags":81,"primary_topic":86,"secondary_topics":87,"classification":88,"search_phrases":106,"slug":109,"view_count":110,"doi":111,"paper":112,"created_at":134},4331,"Does rural land transfer promote high-quality agriculture development? Empirical evidence from 30 provinces in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1940003","As a fundamental pathway toward agricultural-scale operations, rural land transfer (RLT) has emerged as an important institutional mechanism for promoting high-quality agricultural development (HQAD). However, how to effectively unleash the productive potential of land resources and align RLT with the objectives of high-quality development remains an important research question. Treating the 2010 national regulatory intensification of rural land transfer as a common policy milestone, this study employs a continuous difference-in-differences (DID) model and a mediating effect model to examine the relationship between RLT intensity and HQAD and to explore the potential transmission role of new agricultural business entities (NABE). The results show that the overall level of HQAD in China has steadily improved, although substantial spatial and temporal disparities remain, with HQAD generally decreasing from the eastern to the central and western regions. The continuous DID estimates indicate a significant positive association between RLT intensity and HQAD after the 2010 national regulatory-intensification milestone, and this relationship remains stable across the reported robustness checks. The mediation analysis provides evidence consistent with a potential transmission pathway through new agricultural business entities (NABE). Furthermore, the estimated association between RLT intensity and HQAD is stronger in the central region and in non-major grain-producing areas.","作为农业规模化经营的基础路径，农地流转(rural land transfer, RLT)已成为推动农业高质量发展(high-quality agricultural development, HQAD)的重要制度安排。然而，如何有效释放土地资源的生产潜力，使农地流转与高质量发展目标相契合，仍是一个重要的研究问题。本研究以2010年国家加强农地流转监管为共同政策节点，采用连续型双重差分(continuous difference-in-differences, DID)模型和中介效应模型，考察农地流转强度与农业高质量发展之间的关系，并探讨新型农业经营主体(new agricultural business entities, NABE)可能的中介传导作用。结果表明，中国农业高质量发展总体水平稳步提升，但仍存在显著的空间和时间差异，农业高质量发展水平总体呈东、中、西部递减态势。连续型双重差分估计表明，在2010年国家加强监管这一政策节点之后，农地流转强度与农业高质量发展之间存在显著正相关关系，且该关系在各项稳健性检验中保持稳定。中介分析提供了与新型农业经营主体潜在传导路径相一致的证据。此外，农地流转强度与农业高质量发展之间的估计关联在中部地区和非粮食主产区更强。","Frontiers in Sustainable Food Systems","2026-10-06T00:00:00Z","论文",{"impact":18,"substance":76,"depth":18,"authority":19,"freshness":77,"relevant":22,"comment":78},22,9,"基于30省面板数据的连续DID实证研究，方法规范、结论有政策参考价值，但属学术论文而非产业动态，适合主题聚合而非头条精选。",[80],{"name":72,"url":69},[82,27,83,84,85],"农业高质量发展","粮食主产区","双重差分","土地流转",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":89},{"candidates":90,"agricultural_evidence":46},[91,97,102],{"code":32,"score":92,"supported":46,"title":93,"abstract":95,"tags":96},13,[94],"land transfer",[94],[85,27],{"code":98,"score":22,"supported":14,"title":99,"abstract":100,"tags":101},"A8",[],[],[83],{"code":52,"score":22,"supported":14,"title":103,"abstract":104,"tags":105},[],[],[82],[107,108],"农村土地流转 农业高质量发展","新型农业经营主体 中介效应","农村土地流转农业高质量发展-4331",2,"10.3389\u002Ffsufs.2026.1940003",{"doi":111,"openalex_id":113,"authors":114,"venue":72,"cited_by_count":125,"oa_url":126,"card":127,"direction":131,"ingested_from":133},"W7220726312",[115,117,119,121,123],{"name":116,"orcid":8},"Tian Tian",{"name":118,"orcid":8},"Jiawei Yang",{"name":120,"orcid":8},"Tong Yu",{"name":122,"orcid":8},"李孟然",{"name":124,"orcid":8},"Zhen Xie",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1940003\u002Fpdf",{"tldr":128,"method":129,"finding":130,"direction":131,"opportunity":132},"用连续DID和中介模型检验农村土地流转对农业高质量发展的影响及新型经营主体的中介作用。","2010年政策节点，连续DID与中介效应模型，中国30省面板数据。","土地流转显著促进农业高质量发展，新型经营主体起中介作用，中西部及非主产区效应更强。","数字乡村与农业信息化","可结合数字技术或信息化服务，探究土地流转通过新型经营主体推动农业高质量发展的数字化路径。","openalex","2026-10-07T23:30:06.424093Z",{"id":136,"title":137,"url":138,"summary":139,"summary_zh":140,"content":8,"source_name":72,"source_url":138,"published_at":141,"category":74,"cover_url":8,"hotness":13,"is_selected":14,"score":142,"score_detail":143,"sources":147,"tags":149,"primary_topic":154,"secondary_topics":155,"classification":156,"search_phrases":169,"slug":172,"view_count":173,"doi":174,"paper":175,"created_at":190},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",78,{"impact":18,"substance":144,"depth":145,"authority":92,"freshness":77,"relevant":22,"comment":146},21,17,"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。",[148],{"name":72,"url":138},[150,151,28,152,153],"农民增收","家庭农场","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":157},{"candidates":158,"agricultural_evidence":46},[159,164],{"code":32,"score":160,"supported":46,"title":161,"abstract":162,"tags":163},4,[],[151],[151],{"code":165,"score":22,"supported":14,"title":166,"abstract":167,"tags":168},"G6",[],[],[150],[170,171],"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":174,"openalex_id":176,"authors":177,"venue":72,"cited_by_count":125,"oa_url":138,"card":185,"direction":131,"ingested_from":133},"W7212082704",[178,181,183],{"name":179,"orcid":180},"Lin Fang","https:\u002F\u002Forcid.org\u002F0009-0001-1710-8144",{"name":182,"orcid":8},"Jingyu YIN",{"name":184,"orcid":8},"Zhou Fangzhou",{"tldr":186,"method":187,"finding":188,"direction":131,"opportunity":189},"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":192,"title":193,"url":194,"summary":195,"summary_zh":196,"content":8,"source_name":197,"source_url":194,"published_at":198,"category":74,"cover_url":8,"hotness":13,"is_selected":14,"score":199,"score_detail":200,"sources":203,"tags":205,"primary_topic":209,"secondary_topics":210,"classification":211,"search_phrases":233,"slug":236,"view_count":22,"doi":237,"paper":238,"created_at":258},1632,"Improving smallholder representation in crop maps","https:\u002F\u002Fdoi.org\u002F10.1088\u002F2976-601x\u002Faea22c","Abstract Farms smaller than five hectares produce more than half of the world's crops. Accurate maps of smallholder croplands thus hold great potential to inform a wide variety of policies including those that aim to address food insecurity, provide agricultural support, or encourage adaptation to climate change. However, many remotely sensed maps of croplands have been developed in ways that preferentially identify large, intensively managed fields. Here, we illustrate how remotely-sensed land cover maps could be improved to yield better information about smallholder farming, using Paraguay as a study system. We show that prior land cover maps dramatically underestimate smallholder croplands in Paraguay due to misclassification of these systems as a mixture of pastures, shrublands and forests. These maps fail to classify 55-99\\% of smallholder fields ($\u003C$ 5 ha) as croplands, overlooking more than 50 to 120 thousand farmers (or 16-43\\% of the farming population) in the country. We develop national-scale land cover maps that more accurately identify smallholder croplands, conducting a series of experiments to identify specific methodological practices that enable the greatest improvements in smallholder cropland mapping. We show that modest adjustments to the training sample can improve smallholder crop recall in Paraguay by more than 27 percentage points compared to the best performing existing crop map, while other modeling adjustments, such as field segmentation and 10 m pixel resolution, improve smallholder crop recall by an additional 8 percentage points. Our analysis underscores the need for remote sensing scientists to more carefully consider crop system heterogeneity and to ensure that all farming systems are represented in training data for crop mapping.","面积小于五公顷的农场产出了全球过半的农作物。因此，对小农农田的精确地图绘制对于制定多种政策具有巨大潜力，这些政策包括旨在解决粮食不安全问题、提供农业支持或鼓励适应气候变化的政策。然而，许多遥感绘制的农田地图在开发过程中倾向于识别大规模、集约化管理的田地。在此，我们以巴拉圭为研究区域，展示如何改进遥感土地覆盖图，以更好地提供关于小农农业的信息。我们发现，先前的地图由于将这些系统误分类为牧场、灌木丛和森林的混合体，严重低估了巴拉圭的小农农田。这些地图未能将55%至99%的小农田地（小于5公顷）识别为农田，从而忽视了该国超过5万至12万农民（占农业人口的16%至43%）。我们开发了全国范围的土地覆盖图，更准确地识别小农农田，并进行了一系列实验，以确定能够最大程度改进小农农田绘制的具体方法论实践。我们表明，与现有最佳农田地图相比，对训练样本进行适度调整可将巴拉圭小农作物的召回率提高超过27个百分点，而其他建模调整，如田块分割和10米像素分辨率，则进一步将小农作物的召回率提高8个百分点。我们的分析强调，遥感科学家需要更仔细地考虑作物系统的异质性，并确保所有农业系统在作物绘制的训练数据中都有代表性。","Environmental Research Food Systems","2026-09-03T00:00:00Z",77,{"impact":18,"substance":76,"depth":18,"authority":45,"freshness":201,"relevant":22,"comment":202},7,"研究揭示现有作物地图严重低估小农耕地，提出改进方法，对农业政策制定有重要参考价值。",[204],{"name":197,"url":194},[206,28,207,208],"作物制图","遥感","小农",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":212},{"candidates":213,"agricultural_evidence":46},[214,220,226],{"code":32,"score":215,"supported":46,"title":216,"abstract":218,"tags":219},11,[217],"smallholder",[217],[],{"code":221,"score":201,"supported":46,"title":222,"abstract":223,"tags":225},"I3",[],[207,224],"remote sensing",[207],{"code":227,"score":64,"supported":46,"title":228,"abstract":229,"tags":232},"H7",[],[230,231],"气候变化","climate change",[],[234,235],"作物制图 农业政策 小农 遥感","作物制图 农业政策","作物制图农业政策小农遥感-1632","10.1088\u002F2976-601x\u002Faea22c",{"doi":237,"openalex_id":239,"authors":240,"venue":197,"cited_by_count":125,"oa_url":194,"card":252,"direction":256,"ingested_from":133},"W4409984468",[241,244,247,249],{"name":242,"orcid":243},"Kendra Walker","https:\u002F\u002Forcid.org\u002F0000-0002-0307-5505",{"name":245,"orcid":246},"Atahualpa Ayala Gomez","https:\u002F\u002Forcid.org\u002F0000-0001-6600-3587",{"name":248,"orcid":8},"Lauren Sharwood",{"name":250,"orcid":251},"Robert Heilmayr","https:\u002F\u002Forcid.org\u002F0000-0001-8980-9639",{"tldr":253,"method":254,"finding":255,"direction":256,"opportunity":257},"改进遥感作物制图以更好识别小农户农田，以巴拉圭为例。","调整训练样本、场分割和10米分辨率等建模方法。","现有地图漏检55-99%小农户农田，改进后召回率提升27个百分点以上。","农业遥感与作物表型","可探索将小农户农田识别方法推广至其他地区，或结合高分辨率影像与深度学习提升精度。","2026-09-04T23:30:31.759134Z",{"id":260,"title":261,"url":262,"summary":263,"summary_zh":8,"content":264,"source_name":265,"source_url":8,"published_at":266,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":267,"score_detail":268,"sources":272,"tags":274,"primary_topic":278,"secondary_topics":279,"classification":280,"search_phrases":310,"slug":313,"view_count":270,"doi":8,"paper":8,"created_at":314},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",85,{"impact":269,"substance":76,"depth":270,"authority":19,"freshness":21,"relevant":22,"comment":271},25,16,"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。",[273],{"name":265,"url":262},[151,275,27,276,277],"合作社","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":281},{"candidates":282,"agricultural_evidence":46},[283,288,293,298,304],{"code":32,"score":269,"supported":46,"title":284,"abstract":286,"tags":287},[151,285],"社会化服务",[151,48],[275,151,27],{"code":289,"score":160,"supported":46,"title":290,"abstract":291,"tags":292},"G3",[],[276],[276],{"code":294,"score":160,"supported":46,"title":295,"abstract":296,"tags":297},"G4",[],[277],[277],{"code":299,"score":53,"supported":46,"title":300,"abstract":301,"tags":303},"F5",[],[302],"农机",[],{"code":305,"score":53,"supported":46,"title":306,"abstract":307,"tags":309},"H6",[],[308],"农业生态",[],[311,312],"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":316,"title":317,"url":318,"summary":319,"summary_zh":320,"content":8,"source_name":321,"source_url":318,"published_at":322,"category":74,"cover_url":8,"hotness":13,"is_selected":14,"score":323,"score_detail":324,"sources":326,"tags":328,"primary_topic":333,"secondary_topics":334,"classification":341,"search_phrases":358,"slug":361,"view_count":125,"doi":362,"paper":363,"created_at":378},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":21,"substance":144,"depth":18,"authority":45,"freshness":13,"relevant":22,"comment":325},"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。",[327],{"name":321,"url":318},[329,330,48,331,332],"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},[335],{"code":336,"slug":337,"name":338,"path":339,"parent_code":340},"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":342},{"candidates":343,"agricultural_evidence":46},[344,348,353],{"code":32,"score":45,"supported":46,"title":345,"abstract":346,"tags":347},[217],[217],[48],{"code":336,"score":13,"supported":46,"title":349,"abstract":351,"tags":352},[350],"computer vision",[],[330,331],{"code":354,"score":22,"supported":14,"title":355,"abstract":356,"tags":357},"I1",[],[],[329],[359,360],"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":362,"openalex_id":364,"authors":365,"venue":321,"cited_by_count":125,"oa_url":318,"card":372,"direction":376,"ingested_from":133},"W7223137323",[366,368,370],{"name":367,"orcid":8},"Akshay Ramgoolam",{"name":369,"orcid":8},"Priya Bundhoo Appadoo",{"name":371,"orcid":8},"Jean-Noël LEspérance",{"tldr":373,"method":374,"finding":375,"direction":376,"opportunity":377},"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",{"id":380,"title":381,"url":382,"summary":383,"summary_zh":384,"content":8,"source_name":321,"source_url":382,"published_at":322,"category":74,"cover_url":8,"hotness":13,"is_selected":14,"score":385,"score_detail":386,"sources":388,"tags":390,"primary_topic":393,"secondary_topics":394,"classification":396,"search_phrases":411,"slug":414,"view_count":125,"doi":415,"paper":416,"created_at":430},5590,"Evaluation of Concept-Probe Temporal-Stability Audits for Computer Vision Agriculture Disease Classifiers Under Seasonal Phenology Drift: An Interpretability Decay Bound for Smallholder Fungicide Timing","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23545234","Concept-probe audits are increasingly used to certify that a crop-disease classifier's internal representations track the pathological concepts a smallholder would act on, but a probe certified at one point in the season may silently decouple from those concepts as phenology shifts the visual statistics of the field. the present analysis treats that decoupling as a formal object. It defines a temporal-stability audit as a sequence of concept-probe accuracies measured across defined phenological windows, and it derives an interpretability decay bound: the rate at which probe accuracy can fall before the fungicide-timing decision it is meant to support becomes unreliable. The bound is expressed as a function of the probe's initial margin, the drift in concept prevalence between windows, and the classifier's sensitivity to the drifted features, and it yields a certified audit interval rather than a single-point certificate. The paper then characterises the operating characteristics of the audit design under a declared variance structure, using a replication-based evaluation of the before-after-control-impact estimator with between-cluster SD = 6.0, residual SD = 4.5 and intraclass correlation = 0.64. Power was estimated across 2000 design cells over cluster counts of 8, 16, 24 and 32 and effect sizes of 3, 5 and 8 percentage points; 54 clusters were required for 5 percentage points at 80% power. The contribution is a decision-theoretic account of when a concept-probe certificate expires, and a design rule for scheduling re-audits across the season.","概念探针审计（concept-probe audit）日益被用于验证作物病害分类器的内部表征是否追踪小农户会据以采取行动的病理学概念，但在生长季某一时点获得认证的探针，可能随着物候变化改变田间的视觉统计特征而悄然与这些概念脱钩。本分析将这种脱钩视为一个形式化对象。它将时间稳定性审计（temporal-stability audit）定义为在既定物候窗口内测量的一系列概念探针准确率，并推导出一个可解释性衰减界限（interpretability decay bound）：即探针准确率在其所支持的杀菌剂施用时机决策变得不可靠之前所能下降的速率。该界限表示为探针初始裕度、窗口间概念流行率漂移以及分类器对漂移特征敏感度的函数，并给出一个经认证的审计区间而非单点认证。随后，本文在声明的方差结构下刻画该审计设计的运行特征，采用基于重复的前后对照影响估计量评估，其中组间标准差 = 6.0、残差标准差 = 4.5、组内相关系数 = 0.64。功效在 2000 个设计单元上估计，聚类数取 8、16、24 和 32，效应量取 3、5 和 8 个百分点；在 80% 功效下达到 5 个百分点需要 54 个聚类。本文的贡献在于从决策论角度阐明概念探针认证何时失效，并给出在整个生长季内安排重新审计的设计规则。",70,{"impact":21,"substance":76,"depth":18,"authority":45,"freshness":13,"relevant":22,"comment":387},"该论文提出概念探针审计的时序稳定性框架与可解释性衰减界，方法新颖、统计设计扎实，但属小众方法论研究，产业影响有限，适合作为专业精选而非头条。",[389],{"name":321,"url":382},[329,330,48,391,392],"作物病害识别","模型审计",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[395],{"code":336,"slug":337,"name":338,"path":339,"parent_code":340},{"status":39,"locked":14,"version":40,"method":41,"evidence":397},{"candidates":398,"agricultural_evidence":46},[399,403,407],{"code":32,"score":20,"supported":46,"title":400,"abstract":401,"tags":402},[217],[48,217],[48],{"code":336,"score":13,"supported":46,"title":404,"abstract":405,"tags":406},[350],[],[391,330],{"code":354,"score":22,"supported":14,"title":408,"abstract":409,"tags":410},[],[],[329],[412,413],"概念探针 时序稳定性 作物病害分类器","杀菌剂 施药时机 可解释性衰减","概念探针时序稳定性作物病害分类器-5590","10.5281\u002Fzenodo.23545234",{"doi":415,"openalex_id":417,"authors":418,"venue":321,"cited_by_count":125,"oa_url":382,"card":425,"direction":376,"ingested_from":133},"W7223088030",[419,421,423],{"name":420,"orcid":8},"Abdi-Basid Idriss Farah",{"name":422,"orcid":8},"Amina Abdillahi Guedi",{"name":424,"orcid":8},"Moussa Omar Youssouf",{"tldr":426,"method":427,"finding":428,"direction":376,"opportunity":429},"提出概念探针时间稳定性审计与可解释性衰减界，判断何时需重新审计。","定义跨物候窗口探针精度序列，推导衰减界，用BACI复制评估统计功效。","5个百分点效应需54个聚类达80%功效，审计证书会随物候漂移过期。","可将衰减界与再审计调度规则嵌入小农户杀菌剂时机决策支持系统，并验证跨作物泛化。","2026-10-22T11:21:08.978348Z"]