[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3760":3,"related-3760":111},{"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":32,"secondary_topics":38,"classification":45,"search_phrases":80,"slug":83,"view_count":65,"doi":84,"paper":85,"created_at":110},3760,"Enhancing smallholder farmers’ willingness to adopt organic fertilizer in Zhejiang Province, China: a configurational analysis of pathways","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1943791","Scope Organic fertilizer substitution can reduce agricultural non-point source pollution, but subsidy programs in China often exclude smallholder farmers. This study evaluates the effectiveness and feasibility of subsidizing smallholders in Zhejiang Province and identifies combinations of internal factors associated with their willingness to adopt organic fertilizer substitution. Methods Data were obtained from 288 smallholder farmers in 11 green agricultural pioneer counties. The contingent valuation method and willingness to accept were used to estimate expected subsidy levels under different substitution ratios. The theory of planned behavior and fuzzy-set qualitative comparative analysis were then integrated to examine six internal conditions: ecological rationality, economic rationality, exemplary norms, directive norms, competence perception, and policy perception. Results Subsidies increased stated willingness, and the estimated willingness to accept was generally below prevailing subsidy levels. At a 40–60% substitution ratio, the expected subsidy was 124.74 Chinese yuan per metric ton. No single internal condition was necessary for high willingness. Instead, six configurations formed four pathways: Learning, External Normative, Resource-oriented, and Benefit-oriented. These pathways show that technical learning and competence, institutional and peer influence, access to on-farm organic resources, and perceived economic and ecological benefits operate in different combinations across heterogeneous smallholders. Perspectives Policy should (1) implement tiered subsidies according to farm scale and substitution needs, (2) refine agricultural technology extension by combining accessible training with online and offline communication, and (3) strengthen social learning through peer demonstration and locally trusted information channels. The configurational approach offers a differentiated basis for promoting organic fertilizer substitution in comparable smallholder regions.","范围 有机肥替代可以减少农业面源污染，但中国的补贴项目往往将小农户排除在外。本研究评估了浙江省对小农户进行补贴的有效性和可行性，并识别了与其采用有机肥替代意愿相关的内部因素组合。方法 数据来自11个绿色农业先行县的288户小农户。采用条件价值评估法和接受意愿来估算不同替代比例下的预期补贴水平。随后整合计划行为理论和模糊集定性比较分析，考察六个内部条件：生态理性、经济理性、示范性规范、指令性规范、能力感知和政策感知。结果 补贴提高了陈述性意愿，且估算的接受意愿总体上低于现行补贴水平。在40%—60%的替代比例下，预期补贴为每公吨124.74元人民币。没有任何单一内部条件是高意愿的必要条件。相反，六种条件组合形成了四条路径：学习型、外部规范型、资源导向型和利益导向型。这些路径表明，技术学习与能力、制度与同伴影响、农场内有机资源获取以及感知到的经济和生态效益，在异质性小农户中以不同组合发挥作用。观点 政策应：(1)根据农场规模和替代需求实施分层补贴；(2)通过将可及性培训与线上线下沟通相结合来完善农业技术推广；(3)通过同伴示范和当地可信信息渠道加强社会学习。该组态方法为在可比的小农户地区推广有机肥替代提供了差异化依据。",null,"Frontiers in Sustainable Food Systems","2026-09-28T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},15,22,18,13,9,1,"基于浙江288户小农户调研，用fsQCA揭示有机肥替代采纳的四条路径并提出分层补贴建议，方法新颖、数据扎实，对同类小农地区政策制定有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"浙江","农业绿色发展","小农户","补贴政策","有机肥替代",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":52},[51,57,63,70,75],{"code":33,"score":17,"supported":52,"title":53,"abstract":55,"tags":56},true,[54],"smallholder",[29,54],[29],{"code":40,"score":58,"supported":52,"title":59,"abstract":61,"tags":62},11,[60],"fertilizer",[60],[],{"code":64,"score":65,"supported":52,"title":66,"abstract":67,"tags":69},"H5",3,[],[68],"面源污染",[],{"code":71,"score":22,"supported":14,"title":72,"abstract":73,"tags":74},"H4",[],[],[28],{"code":76,"score":22,"supported":14,"title":77,"abstract":78,"tags":79},"H8",[],[],[28],[81,82],"浙江 小农户 有机肥替代","有机肥 补贴 意愿 浙江","浙江小农户有机肥替代-3760","10.3389\u002Ffsufs.2026.1943791",{"doi":84,"openalex_id":86,"authors":87,"venue":10,"cited_by_count":102,"oa_url":6,"card":103,"direction":107,"ingested_from":109},"W7214589952",[88,90,92,94,97,99],{"name":89,"orcid":9},"Xinru Peng",{"name":91,"orcid":9},"Chenxia Hu",{"name":93,"orcid":9},"Qiaoqiao Zheng",{"name":95,"orcid":96},"Yanying Yang","https:\u002F\u002Forcid.org\u002F0000-0002-0907-4191",{"name":98,"orcid":9},"Lijun Zhou",{"name":100,"orcid":101},"Jing Yang","https:\u002F\u002Forcid.org\u002F0009-0002-8370-7900",0,{"tldr":104,"method":105,"finding":106,"direction":107,"opportunity":108},"研究浙江小农户有机肥替代意愿，识别补贴水平与六种内部条件组合路径。","对288户小农户用条件价值法、计划行为理论和模糊集定性比较分析。","补贴能提高意愿，40-60%替代比下预期补贴124.74元\u002F吨，形成学习、外部规范、资源导向、利益导","农业绿色发展与碳","可探究不同规模与作物类型下补贴与条件组合的动态匹配，以及数字工具在技术学习路径中的作用。","openalex","2026-09-29T23:30:06.947180Z",{"total":112,"page":22,"page_size":112,"items":113},6,[114,211,302,359,411,501],{"id":115,"title":116,"url":117,"summary":118,"summary_zh":119,"content":9,"source_name":120,"source_url":117,"published_at":121,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":122,"score_detail":123,"sources":126,"tags":128,"primary_topic":133,"secondary_topics":134,"classification":142,"search_phrases":189,"slug":192,"view_count":193,"doi":194,"paper":195,"created_at":210},3010,"A Multi-Task Stacked Ensemble and IoT-Enabled Decision Support System for Precision Fertigation in Smallholder Agriculture","https:\u002F\u002Fdoi.org\u002F10.5120\u002Fijca9a6e56b81235","Nigerian agriculture's fixed-schedule fertigation causes low efficiency and nutrient leaching.A stacked-ensemble model is developed for precision fertigation that jointly predicts fertigation need, rate (kg\u002Fha) and timing (Early\u002FOptimal\u002FLate).To train and evaluate the ensemble, a unified dataset was integrated, comprising 12,840 records and 42 variables from a Nigerian soil-weather-yield dataset, a locally sourced Nigerian IoT sensor series and historical weather\u002FNDVI feeds.An LSTM soil-dynamics model, an XGBoost rate regressor and Random Forest need\u002Ftiming classifiers are fused through an XGBoost meta-learner trained on out-of-fold predictions.On held-out partitions, the ensemble reduced rate MAE from 0.55 to 0.49 kg\u002Fha (-10.9%) and RMSE from 0.68 to 0.61 kg\u002Fha (-10.3%;R² 0.88→0.92),raised need F1 from 0.83 to 0.86 (accuracy 0.87→0.89;AUC 0.89→0.93)and timing macro-F1 from 0.84 to 0.86, with well-calibrated probabilities (Brier 0.082).The trained ensemble was deployed through a RESTful API and responsive dashboard; under concurrent load, the system recorded 0% request errors with 1.88s median API latency, demonstrating practical deployability for Nigerian smallholder agriculture.","尼日利亚农业的固定日程水肥一体化导致效率低下和养分淋失。本研究开发了一种堆叠集成模型用于精准水肥管理，可联合预测灌溉施肥需求、施用量（kg\u002Fha）和时机（早\u002F最佳\u002F晚）。为训练和评估该集成模型，整合了一个统一数据集，包含来自尼日利亚土壤-天气-产量数据集、本地尼日利亚物联网传感器序列及历史天气\u002FNDVI数据的12,840条记录和42个变量。通过基于折外预测训练的XGBoost元学习器，将LSTM土壤动力学模型、XGBoost施用量回归器和随机森林需求\u002F时机分类器进行融合。在留出集上，该集成模型将施用量MAE从0.55降至0.49 kg\u002Fha（-10.9%），RMSE从0.68降至0.61 kg\u002Fha（-10.3%；R² 0.88→0.92），需求F1从0.83提升至0.86（准确率0.87→0.89；AUC 0.89→0.93），时机宏平均F1从0.84提升至0.86，且概率校准良好（Brier 0.082）。训练后的集成模型通过RESTful API和响应式仪表板部署；在并发负载下，系统录得0%请求错误，API延迟中位数为1.88秒，展示了在尼日利亚小农农业中的实际可部署性。","International Journal of Computer Applications","2026-09-18T00:00:00Z",79,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":124,"relevant":22,"comment":125},8,"面向小农户的精准水肥一体化多任务集成模型与物联网决策支持系统，数据规模与方法验证扎实，对智慧农业落地有参考价值。",[127],{"name":120,"url":117},[129,130,131,29,132],"智慧农业","农业人工智能","农业物联网","精准灌溉",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[135,141],{"code":136,"slug":137,"name":138,"path":139,"parent_code":140},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":46,"locked":14,"version":47,"method":48,"evidence":143},{"candidates":144,"agricultural_evidence":52},[145,153,159,164,170,177,184],{"code":40,"score":146,"supported":52,"title":147,"abstract":149,"tags":152},17,[148],"fertigation",[150,151,148],"施肥","水肥一体化",[],{"code":136,"score":17,"supported":52,"title":154,"abstract":156,"tags":158},[155],"IoT",[157,155],"物联网",[131],{"code":33,"score":160,"supported":52,"title":161,"abstract":162,"tags":163},12,[54],[54],[29],{"code":165,"score":21,"supported":52,"title":166,"abstract":168,"tags":169},"I2",[167],"decision support",[],[130],{"code":171,"score":112,"supported":52,"title":172,"abstract":173,"tags":176},"H2",[],[174,175],"土壤","soil",[],{"code":178,"score":179,"supported":52,"title":180,"abstract":181,"tags":183},"H3",4,[],[182],"灌溉",[132],{"code":185,"score":22,"supported":14,"title":186,"abstract":187,"tags":188},"I1",[],[],[129],[190,191],"尼日利亚 精准灌溉 物联网","堆叠集成 施肥决策 小农户","尼日利亚精准灌溉物联网-3010",2,"10.5120\u002Fijca9a6e56b81235",{"doi":194,"openalex_id":196,"authors":197,"venue":120,"cited_by_count":102,"oa_url":117,"card":204,"direction":208,"ingested_from":109},"W7213663876",[198,200,202],{"name":199,"orcid":9},"Awojide S.",{"name":201,"orcid":9},"Ikpotokin F.O.",{"name":203,"orcid":9},"Sadiq F.I.",{"tldr":205,"method":206,"finding":207,"direction":208,"opportunity":209},"构建多任务堆叠集成模型与物联网决策支持系统，实现小农户精准水肥一体化。","LSTM、XGBoost、随机森林堆叠集成，融合尼日利亚土壤气象、IoT与NDV","集成模型将施肥量MAE降低10.9%，需求与时机分类F1提升，系统部署零错误。","智慧农业 \u002F 农业物联网","可探索多任务集成模型在非洲小农户不同作物与气候区的迁移能力及低成本IoT部署。","2026-09-20T23:30:09.003454Z",{"id":212,"title":213,"url":214,"summary":215,"summary_zh":216,"content":9,"source_name":217,"source_url":214,"published_at":218,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":219,"score_detail":220,"sources":222,"tags":224,"primary_topic":228,"secondary_topics":229,"classification":235,"search_phrases":286,"slug":289,"view_count":193,"doi":290,"paper":291,"created_at":301},1888,"Smart Technologies for Precision Nutrient Management in Smallholder Farming: A Comprehensive Review","https:\u002F\u002Fdoi.org\u002F10.4038\u002Fjur.v14i1.8134","Smallholder farmers with less than 2 hectares contribute more than 1\u002F3rd of the world food supply but continue to suffer the challenges of low nutrient use efficiency (30-40%), reduced soil fertility and lack of access to precision agriculture technologies. The aim of the review is to synthesize the evidence of 235 peer-reviewed articles (2010-2025) to assess the precision nutrient management (PNM) technologies, namely, in terms of their applicability, economic feasibility, and adoption capacity within the smallholder farming systems. Systematic literature review according to PRISMA, the analysis of articles on satellite and UAV-based remote sensing, IoT-enabled soil sensors, variable rate application systems, machine learning algorithms, and case studies worldwide were summarized. The application of variable rates can cut fertilizer use by 10-25 % and boost yields by 7-15 % but only small holders adopt it globally because of capital limitations, fragmented land holdings (1-2 ha), poor rural connectivity and insufficient extension services. Multi-source data forecasts nutrient needs with 85-92 % accuracy using machine learning algorithms (Random Forests, Support Vector Machines. Open-source sensor development, offline mobile decision support systems, equipment sharing cooperatives, blended finance (30–50% tech subsidies), and farmer involvement must all be part of the democratization of PNM for smallholders. Institutional adjustments, unified extension services, public-private cooperation, and supportive nutrient management regulations are all necessary for effective scaling. PNM adoption produces 15-30% nutrient runoff reduction, 10-20% greenhouse gas emission reductions, and 0.4-1.2 tons CO2-equivalent per hectare of soil carbon sequestration. PNM adoption produces 15-30% nutrient runoff reduction, 10-20% greenhouse gas emission reductions, and 0.4-1.2 tons CO2-equivalent per hectare of soil carbon sequestration. Economic analyses indicated that farms over 10 ha have positive returns, though smallholders required special support to overcome initial costs and limitations.","拥有不足2公顷土地的小农户贡献了全球粮食供应总量的三分之一以上，却持续面临养分利用效率低下（30-40%）、土壤肥力下降以及缺乏精准农业技术获取途径等挑战。本综述旨在综合235篇同行评审论文（2010-2025年）的证据，评估精准养分管理（PNM）技术在小农农业系统中的适用性、经济可行性和采纳能力。依据PRISMA方法进行系统性文献综述，总结了基于卫星和无人机遥感、物联网土壤传感器、变量施肥系统、机器学习算法及全球案例研究的分析结果。变量施肥技术的应用可减少化肥使用量10-25%，提高产量7-15%，但由于资金限制、土地碎片化（1-2公顷）、农村网络覆盖不足和推广服务欠缺，全球仅有少数小农户采纳该技术。利用机器学习算法（随机森林、支持向量机）进行多源数据预测，养分需求预测准确率可达85-92%。实现小农户PNM技术的普及化，必须包括开源传感器开发、离线移动决策支持系统、设备共享合作社、混合融资（30-50%技术补贴）以及农户参与等多方面措施。有效的规模化推广还需要制度调整、统一的推广服务、公私合作以及支持性养分管理法规的配套。PNM技术的采纳可减少养分径流15-30%，降低温室气体排放10-20%，并实现每公顷0.4-1.2吨二氧化碳当量的土壤碳封存。经济分析表明，10公顷以上的农场可获得正收益，但小农户需要特殊支持以克服初始成本和限制因素。","Journal of the University of Ruhuna","2026-09-07T00:00:00Z",72,{"impact":19,"substance":18,"depth":19,"authority":160,"freshness":193,"relevant":22,"comment":221},"系统综述小农户精准养分管理技术，数据详实，但时效性低，适合专题参考。",[223],{"name":217,"url":214},[129,225,226,227,29],"精准施肥","农业遥感","机器学习",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[230,231],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"code":165,"slug":232,"name":233,"path":234,"parent_code":140},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"status":46,"locked":14,"version":47,"method":48,"evidence":236},{"candidates":237,"agricultural_evidence":52},[238,242,247,252,259,266,273,277,281],{"code":33,"score":17,"supported":52,"title":239,"abstract":240,"tags":241},[54],[29,54],[29],{"code":40,"score":13,"supported":52,"title":243,"abstract":244,"tags":246},[],[150,245,60],"养分管理",[225],{"code":165,"score":13,"supported":52,"title":248,"abstract":249,"tags":251},[],[227,250,167],"machine learning",[227],{"code":185,"score":253,"supported":52,"title":254,"abstract":255,"tags":258},7,[],[256,257],"精准农业","precision agriculture",[129],{"code":260,"score":253,"supported":52,"title":261,"abstract":262,"tags":265},"I3",[],[263,264],"遥感","remote sensing",[226],{"code":267,"score":112,"supported":52,"title":268,"abstract":269,"tags":272},"B7",[],[270,271],"温室","greenhouse",[],{"code":171,"score":112,"supported":52,"title":274,"abstract":275,"tags":276},[],[174,175],[],{"code":136,"score":112,"supported":52,"title":278,"abstract":279,"tags":280},[],[157,155],[],{"code":71,"score":65,"supported":52,"title":282,"abstract":283,"tags":285},[],[284],"carbon sequestration",[],[287,288],"农业遥感 智慧农业 机器学习 精准施肥","农业遥感 智慧农业","农业遥感智慧农业机器学习精准施肥-1888","10.4038\u002Fjur.v14i1.8134",{"doi":290,"openalex_id":292,"authors":293,"venue":217,"cited_by_count":102,"oa_url":214,"card":296,"direction":208,"ingested_from":109},"W7211915396",[294],{"name":295,"orcid":9},"Anuga Liyanage",{"tldr":297,"method":298,"finding":299,"direction":208,"opportunity":300},"综述小农户精准养分管理技术，分析其适用性、经济可行性与采纳障碍。","PRISMA系统综述235篇文献，分析遥感、物联网、变量施肥及机器学习案例。","变量施肥可减肥10-25%并增产7-15%，但小农户因资金、土地细碎等采纳率低。","小农户精准养分管理技术民主化路径，如低成本传感器、离线决策支持系统及合作社共享模式。","2026-09-08T23:30:08.156887Z",{"id":303,"title":304,"url":305,"summary":306,"summary_zh":307,"content":9,"source_name":308,"source_url":305,"published_at":309,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":310,"score_detail":311,"sources":314,"tags":316,"primary_topic":319,"secondary_topics":320,"classification":322,"search_phrases":338,"slug":341,"view_count":102,"doi":342,"paper":343,"created_at":358},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":124,"substance":312,"depth":19,"authority":160,"freshness":13,"relevant":22,"comment":313},21,"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。",[315],{"name":308,"url":305},[129,130,29,317,318],"植物病害识别","可解释性",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[321],{"code":165,"slug":232,"name":233,"path":234,"parent_code":140},{"status":46,"locked":14,"version":47,"method":48,"evidence":323},{"candidates":324,"agricultural_evidence":52},[325,329,334],{"code":33,"score":160,"supported":52,"title":326,"abstract":327,"tags":328},[54],[54],[29],{"code":165,"score":13,"supported":52,"title":330,"abstract":332,"tags":333},[331],"computer vision",[],[130,317],{"code":185,"score":22,"supported":14,"title":335,"abstract":336,"tags":337},[],[],[129],[339,340],"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":342,"openalex_id":344,"authors":345,"venue":308,"cited_by_count":102,"oa_url":305,"card":352,"direction":356,"ingested_from":109},"W7223137323",[346,348,350],{"name":347,"orcid":9},"Akshay Ramgoolam",{"name":349,"orcid":9},"Priya Bundhoo Appadoo",{"name":351,"orcid":9},"Jean-Noël LEspérance",{"tldr":353,"method":354,"finding":355,"direction":356,"opportunity":357},"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":360,"title":361,"url":362,"summary":363,"summary_zh":364,"content":9,"source_name":308,"source_url":362,"published_at":309,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":365,"score_detail":366,"sources":368,"tags":370,"primary_topic":373,"secondary_topics":374,"classification":376,"search_phrases":391,"slug":394,"view_count":102,"doi":395,"paper":396,"created_at":410},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":124,"substance":18,"depth":19,"authority":160,"freshness":13,"relevant":22,"comment":367},"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。",[369],{"name":308,"url":362},[129,130,29,371,372],"作物病害识别","模型审计",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[375],{"code":165,"slug":232,"name":233,"path":234,"parent_code":140},{"status":46,"locked":14,"version":47,"method":48,"evidence":377},{"candidates":378,"agricultural_evidence":52},[379,383,387],{"code":33,"score":17,"supported":52,"title":380,"abstract":381,"tags":382},[54],[29,54],[29],{"code":165,"score":13,"supported":52,"title":384,"abstract":385,"tags":386},[331],[],[371,130],{"code":185,"score":22,"supported":14,"title":388,"abstract":389,"tags":390},[],[],[129],[392,393],"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":395,"openalex_id":397,"authors":398,"venue":308,"cited_by_count":102,"oa_url":362,"card":405,"direction":356,"ingested_from":109},"W7223088030",[399,401,403],{"name":400,"orcid":9},"Abdi-Basid Idriss Farah",{"name":402,"orcid":9},"Amina Abdillahi Guedi",{"name":404,"orcid":9},"Moussa Omar Youssouf",{"tldr":406,"method":407,"finding":408,"direction":356,"opportunity":409},"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",{"id":412,"title":413,"url":414,"summary":415,"summary_zh":416,"content":9,"source_name":10,"source_url":414,"published_at":309,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":417,"score_detail":418,"sources":421,"tags":423,"primary_topic":428,"secondary_topics":429,"classification":430,"search_phrases":467,"slug":470,"view_count":102,"doi":471,"paper":472,"created_at":500},5548,"Agroecological transition in olive based farming systems among smallholder farms in northwestern Tunisia","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1903591","Agricultural intensification has increased production and economic growth but has also generated significant environmental and social challenges that threaten long-term sustainability, highlighting the need for more sustainable farming models. Agroecology offers a promising pathway to enhance resilience and support inclusive rural development. In this context, Tunisia’s olive sector provides a relevant case for examining agroecological transitions in semi-arid smallholder systems. This study evaluates the degree of agroecological transition among smallholder olive farms in the Elles region of northwestern Tunisia using the FAO Tool for Agroecology Performance Evaluation (TAPE). Based on a sample of 60 farms, the analysis applies the Characterization of Agroecological Transition (CAET) index, grounded in the 10 Elements of Agroecology, to compare four production systems: (i) olive monoculture, (ii) diversified cropping, (iii) olive–livestock integration, and (iv) integrated olive–crop–livestock systems. Economic, social, environmental and institutional performance were explored using the TAPE Core Criteria of Performance (Step 2) and examined in relation to CAET scores. Results reveal a clear agroecological gradient, with diversified and integrated systems achieving markedly higher CAET scores (up to 52%) compared to monoculture systems (31%). Spearman correlations show strong associations between CAET and key dimensions, including synergy (ρ = 0.79), human and social values (ρ = 0.78), and diversity (ρ = 0.71). Several TAPE economic performance indicators, including monthly income, which ranged from approximately 1,349 TND in monoculture systems to 4,892 TND in diversified olive–crop–livestock systems, were positively associated with higher CAET scores, suggesting that agroecological transition may not necessarily imply a trade-off between productivity and sustainability. However, limited collective action, weak market integration, and insufficient extension services constrain broader adoption. These findings highlight the potential of diversification as a key lever for agroecological transition and underscore the importance of targeted policy support.","农业集约化提高了产量并促进了经济增长，但也产生了威胁长期可持续性的重大环境与社会挑战，凸显了对更可持续耕作模式的需求。农业生态学为增强韧性和支持包容性农村发展提供了一条有前景的路径。在此背景下，突尼斯橄榄产业为研究半干旱小农系统中的农业生态转型提供了相关案例。本研究利用联合国粮农组织农业生态性能评价工具（TAPE），评估突尼斯西北部埃勒斯地区小农橄榄农场的农业生态转型程度。基于60个农场的样本，分析采用以农业生态学十大要素为基础的农业生态转型特征（CAET）指数，比较四种生产系统：（i）橄榄单作，（ii）多样化种植，（iii）橄榄—畜牧结合，以及（iv）橄榄—作物—畜牧综合系统。研究利用TAPE核心性能标准（第二步）探讨经济、社会、环境和制度绩效，并将其与CAET得分进行关联分析。结果揭示了明显的农业生态梯度，多样化与综合系统的CAET得分（最高达52%）显著高于单作系统（31%）。斯皮尔曼相关性分析显示，CAET与关键维度之间存在强关联，包括协同性（ρ = 0.79）、人文与社会价值（ρ = 0.78）和多样性（ρ = 0.71）。若干TAPE经济绩效指标——包括月收入，其从单作系统的约1，349突尼斯第纳尔到橄榄—作物—畜牧多样化系统的4，892突尼斯第纳尔不等——与更高的CAET得分呈正相关，表明农业生态转型未必意味着生产力与可持续性之间的权衡。然而，集体行动有限、市场整合薄弱和推广服务不足制约了更广泛的采纳。这些发现凸显了多样化作为农业生态转型关键杠杆的潜力，并强调了有针对性的政策支持的重要性。",71,{"impact":160,"substance":419,"depth":146,"authority":20,"freshness":21,"relevant":22,"comment":420},20,"基于FAO TAPE方法对突尼斯小农户橄榄系统农生态转型的实证研究，数据扎实、结论有新意，但属区域性案例，公共影响有限。",[422],{"name":10,"url":414},[29,424,425,426,427],"农业转型","生态农业","突尼斯","油橄榄",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":431},{"candidates":432,"agricultural_evidence":52},[433,437,444,450,457,463],{"code":33,"score":160,"supported":52,"title":434,"abstract":435,"tags":436},[54],[54],[29],{"code":438,"score":112,"supported":52,"title":439,"abstract":440,"tags":443},"C",[],[441,442],"畜牧","livestock",[],{"code":37,"score":112,"supported":52,"title":445,"abstract":446,"tags":449},[],[447,448],"农村发展","rural development",[],{"code":451,"score":112,"supported":52,"title":452,"abstract":453,"tags":456},"H6",[],[454,455],"农业生态","agroecology",[],{"code":458,"score":65,"supported":52,"title":459,"abstract":460,"tags":462},"H7",[],[461],"干旱",[],{"code":76,"score":22,"supported":14,"title":464,"abstract":465,"tags":466},[],[],[425],[468,469],"突尼斯 油橄榄 小农户","TAPE 农生态 评估","突尼斯油橄榄小农户-5548","10.3389\u002Ffsufs.2026.1903591",{"doi":471,"openalex_id":473,"authors":474,"venue":10,"cited_by_count":102,"oa_url":414,"card":495,"direction":107,"ingested_from":109},"W7223108121",[475,477,479,482,485,487,490,493],{"name":476,"orcid":9},"Rihab Mejri",{"name":478,"orcid":9},"Meriem Oueslati Zlaoui",{"name":480,"orcid":481},"Inès Gharbi","https:\u002F\u002Forcid.org\u002F0000-0003-2558-2134",{"name":483,"orcid":484},"Asma Souissi","https:\u002F\u002Forcid.org\u002F0000-0002-8680-5875",{"name":486,"orcid":9},"Ghada Ferchichi",{"name":488,"orcid":489},"Rania Soula","https:\u002F\u002Forcid.org\u002F0000-0002-6086-9176",{"name":491,"orcid":492},"Boubaker Dhehibi","https:\u002F\u002Forcid.org\u002F0000-0003-3854-6669",{"name":494,"orcid":9},"Mohamed Zied Dhraief",{"tldr":496,"method":497,"finding":498,"direction":107,"opportunity":499},"用FAO TAPE工具评估突尼斯西北小农橄榄农场生态农业转型程度。","FAO 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