[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2138":3,"related-2138":97},{"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":39,"search_phrases":69,"slug":72,"view_count":53,"doi":73,"paper":74,"created_at":96},2138,"Biostimulants for sustainable intensification of agriculture: understanding farmers’ adoption behavior for their scaling-up","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1901923","Understanding how farmers integrate novel agricultural inputs into their production systems is important for promoting more sustainable input-use strategies. Although biostimulants have received increasing agronomic and policy attention, farm-level evidence on the extent and distribution of their use remains limited. This paper provides micro-level evidence on biostimulant adoption intensity among 193 biostimulant-aware and experienced farmers in two contrasting agricultural settings: Nagaur, a rainfed district in Rajasthan, and Moradabad, an irrigated district in Uttar Pradesh. This study addressed a dimension of adoption behavior: how deeply and unevenly farmers use a new input rather than whether they adopt it. The study finds that biostimulants were applied to two-thirds of the cultivated area. Biostimulant use was strongly crop-selective: vegetables (89%), spices (84%), and other commercial crops (78–86%) received comparatively high treatment share. Employing fractional logit model, the study find that market orientation and awareness of biostimulant benefits were positively associated with adoption intensity, while farm size was negatively associated with the treated-area share. The positive association between the composite adoption constraints index and adoption intensity may indicate that more intensive users have greater exposure to and recognition of barriers concerning product quality, price, availability, and technical information. The association between commercial-crop share and adoption intensity was more than twice as strong in Moradabad, Uttar Pradesh, as in Nagaur, Rajasthan, highlighting the importance of local production and market conditions. Strikingly, less than 10% of farmers recognize “biostimulants” generically, while over 97% recognize a specific branded product, and 88% identified input dealers as their main source of information. These findings show that biostimulant use among smallholders is shaped by crop value, farm scale, perceived benefits, adoption constraints, information channels, and farming-system context. Scaling appropriate biostimulant use therefore requires independent field demonstrations, crop-specific technical guidance, stronger product-quality verification, and extension strategies that engage with dealer networks while ensuring reliable and unbiased information.","理解农民如何将新型农业投入品整合进其生产系统，对于推动更可持续的投入品使用策略具有重要意义。尽管生物刺激素（biostimulants）已日益受到农艺学界和政策层面的关注，但关于其使用程度和分布的农场层面证据仍然有限。本文提供了两个对比鲜明的农业环境中193位了解生物刺激素且有使用经验的农户的微观层面证据：拉贾斯坦邦的雨养地区纳高尔（Nagaur）和北方邦的灌溉地区莫拉达巴德（Moradabad）。本研究关注的是采纳行为的一个维度：农民使用一种新投入品的深度和不均衡程度，而非是否采纳。研究发现，生物刺激素被施用于三分之二的耕地面积。生物刺激素的使用具有强烈的作物选择性：蔬菜（89%）、香料作物（84%）和其他经济作物（78%–86%）的施用面积占比较高。采用分数逻辑模型（fractional logit model），研究发现市场导向和对生物刺激素益处的认知与采纳强度呈正相关，而农场规模与施用面积占比呈负相关。综合采纳约束指数与采纳强度之间的正相关关系可能表明，使用强度更高的农户对产品质量、价格、可获得性和技术信息方面的障碍有更多的接触和认知。经济作物占比与采纳强度之间的关联在北方邦莫拉达巴德是拉贾斯坦邦纳高尔的两倍以上，凸显了当地生产和市场条件的重要性。值得注意的是，不到10%的农民能够识别“生物刺激素”这一通用名称，而超过97%的农民能识别某一具体品牌产品，88%的农民将农资经销商确定为其主要信息来源。这些发现表明，小农户对生物刺激素的使用受到作物价值、农场规模、感知效益、采纳约束、信息渠道和农业系统背景的共同影响。因此，推广适当的生物刺激素使用需要独立的田间示范、针对特定作物的技术指导、更强的产品质量验证，以及能够与经销商网络对接同时确保可靠和公正信息的推广策略。",null,"Frontiers in Sustainable Food Systems","2026-09-10T00:00:00Z","论文",10,false,75,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},15,22,17,13,8,1,"基于印度两地区193户微观调查，揭示生物刺激素采纳强度受作物价值、农场规模与经销商信息渠道影响，对农资推广与农业绿色转型有参考价值，但属区域性实证研究，公共影响层级有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"农户采纳","小农户","生物刺激素","可持续集约化","农资经销",{"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",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,51,58,64],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":50},5,true,[],[28],[27,28],{"code":52,"score":53,"supported":47,"title":54,"abstract":55,"tags":57},"B1",3,[],[56],"蔬菜",[],{"code":59,"score":53,"supported":47,"title":60,"abstract":61,"tags":63},"H3",[],[62],"灌溉",[],{"code":65,"score":22,"supported":14,"title":66,"abstract":67,"tags":68},"F3",[],[],[29],[70,71],"可持续集约化 生物刺激素 农户采纳 农资经销","可持续集约化 生物刺激素","可持续集约化生物刺激素农户采纳农资经销-2138","10.3389\u002Ffsufs.2026.1901923",{"doi":73,"openalex_id":75,"authors":76,"venue":10,"cited_by_count":88,"oa_url":6,"card":89,"direction":93,"ingested_from":95},"W7212195082",[77,80,83,85],{"name":78,"orcid":79},"Dinesh Chand Meena","https:\u002F\u002Forcid.org\u002F0000-0002-4503-5376",{"name":81,"orcid":82},"Pratap S. Birthal","https:\u002F\u002Forcid.org\u002F0000-0002-7287-6269",{"name":84,"orcid":9},"Kiran Kumara TM",{"name":86,"orcid":87},"Iti Sharma","https:\u002F\u002Forcid.org\u002F0000-0001-7508-4606",0,{"tldr":90,"method":91,"finding":92,"direction":93,"opportunity":94},"基于印度两县193户农户调查，分析生物刺激素采用强度及其影响因素。","对193户有经验农户调查，用分数logit模型分析采用强度。","生物刺激素用于三分之二耕地，作物选择性强，市场导向和认知正向影响采用强度。","数字乡村与农业信息化","可研究经销商网络与品牌认知对农户采用新型农资的影响，及数字化信息渠道的替代作用。","openalex","2026-09-11T23:30:08.518376Z",{"total":98,"page":22,"page_size":98,"items":99},6,[100,196,253,305,396,439],{"id":101,"title":102,"url":103,"summary":104,"summary_zh":105,"content":9,"source_name":106,"source_url":103,"published_at":107,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":108,"score_detail":109,"sources":113,"tags":115,"primary_topic":119,"secondary_topics":125,"classification":127,"search_phrases":165,"slug":168,"view_count":46,"doi":169,"paper":170,"created_at":195},3469,"ARTIFICIAL INTELLIGENCE FOR AGRICULTURE: A SYSTEMATIC REVIEW OF FARMERS' PERCEPTIONS, ACCEPTANCE, ADOPTION AND BARRIERS","https:\u002F\u002Fdoi.org\u002F10.64013\u002Fbbasrjlifess.v2026i1.70","Artificial intelligence (AI) is rapidly reshaping agriculture, enabling the application of data for efficient decision-making, precision farming, crop monitoring, pest management, disease detection, smart irrigation, yield prediction, and various aspects of farm automation. Yet, to successfully gain a foothold in farms, factors like farmers' perceptions, their acceptance, desire, and readiness to adopt, as well as the capability to surmount socioeconomic, technological, and institutional challenges, must also make a difference. This article systematically collates the available information on farmers' perspectives on, acceptance of, readiness to adopt, and the obstacles related to AI in the agricultural context. The PRISMA 2020 guideline has been followed to select studies that are related, evaluated for inclusion, and finally, per the criteria, combined into a systematic synthesis. The review mainly discusses the aspects that influence the use of AI, like perceived usefulness, ease of use, trust, digital literacy, affordability, farm size, socioeconomic characteristics, availability of digital infrastructure, and access to agricultural technical advisory services. Main challenges identified involve the high cost of implementing AI, poor connectivity, weak rural infrastructure, low levels of technological knowledge, unavailability of support services, concerns about data privacy, distrust of algorithmic bias, language barriers, and inequalities impacting smallholder farmers. Besides barriers, the review indicates the potential of leveraging AI through extension services, agricultural mobile apps, precision farming, climate-smart agriculture, early-warning systems, and tailored farm advisories. By drawing out technical, behavioral, socioeconomic, and institutional perspectives, the review pinpoints important research questions and presents a farmholder-oriented setup to explain the process of taking up AI in farming. The outcomes can be used by scientific experts, policymakers, extension personnel, and software developers to create low-cost, reliable, and accessible AI systems aimed at promoting sustainable agricultural development.","人工智能（AI）正迅速重塑农业，使数据得以应用于高效决策、精准农业、作物监测、病虫害管理、病害检测、智能灌溉、产量预测以及农场自动化的各个方面。然而，要在农场中成功立足，农民的认知、接受度、采用意愿和准备程度，以及克服社会经济、技术和制度挑战的能力，同样至关重要。本文系统梳理了现有关于农民对农业领域人工智能的看法、接受度、采用准备程度及相关障碍的信息。研究遵循PRISMA 2020指南，筛选相关研究，评估其纳入资格，并最终依据标准进行系统性综合。综述主要探讨了影响人工智能使用的因素，包括感知有用性、易用性、信任、数字素养、可负担性、农场规模、社会经济特征、数字基础设施的可用性以及农业技术咨询服务的获取。识别出的主要挑战包括人工智能实施成本高昂、网络连接不佳、农村基础设施薄弱、技术水平低下、支持服务缺乏、数据隐私担忧、对算法偏见的疑虑、语言障碍以及影响小农户的不平等问题。除障碍外，综述还指出了通过推广服务、农业移动应用、精准农业、气候智慧型农业、预警系统和定制化农场咨询来利用人工智能的潜力。通过梳理技术、行为、社会经济和制度层面的视角，本综述指出了重要的研究问题，并提出了一个以农场主为导向的框架，以解释在农业中采用人工智能的过程。研究结果可供科学专家、政策制定者、推广人员和软件开发者用于创建低成本、可靠且可及的人工智能系统，以促进可持续农业发展。","Journal of Life and Social Sciences","2026-09-24T00:00:00Z",80,{"impact":110,"substance":18,"depth":110,"authority":20,"freshness":111,"relevant":22,"comment":112},18,9,"基于PRISMA的系统综述，系统梳理农户对AI的认知、接受度与采纳障碍，对智慧农业推广与政策设计有实质参考价值。",[114],{"name":106,"url":103},[116,117,118,27,28],"智慧农业","农业人工智能","数字素养",{"code":120,"slug":121,"name":122,"path":123,"parent_code":124},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[126],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":128},{"candidates":129,"agricultural_evidence":47},[130,136,141,149,154,160],{"code":120,"score":131,"supported":47,"title":132,"abstract":134,"tags":135},12,[133],"artificial intelligence",[133],[117],{"code":33,"score":21,"supported":47,"title":137,"abstract":138,"tags":140},[],[28,139],"smallholder",[27,28],{"code":142,"score":143,"supported":47,"title":144,"abstract":145,"tags":148},"I1",7,[],[146,147],"精准农业","smart agriculture",[116],{"code":59,"score":98,"supported":47,"title":150,"abstract":151,"tags":153},[],[62,152],"irrigation",[],{"code":155,"score":53,"supported":47,"title":156,"abstract":157,"tags":159},"H8",[],[158],"可持续农业",[],{"code":161,"score":22,"supported":14,"title":162,"abstract":163,"tags":164},"I6",[],[],[118],[166,167],"农民 AI 采纳 障碍","农业人工智能 系统综述","农民AI采纳障碍-3469","10.64013\u002Fbbasrjlifess.v2026i1.70",{"doi":169,"openalex_id":171,"authors":172,"venue":106,"cited_by_count":88,"oa_url":103,"card":189,"direction":194,"ingested_from":95},"W7214189410",[173,175,177,179,181,183,185,187],{"name":174,"orcid":9},"MM JAMEEL",{"name":176,"orcid":9},"M SAEED",{"name":178,"orcid":9},"SA SHER",{"name":180,"orcid":9},"Z ALI",{"name":182,"orcid":9},"Q HAYYAT",{"name":184,"orcid":9},"S KIRBAG",{"name":186,"orcid":9},"S KHAN",{"name":188,"orcid":9},"HN AHMAD",{"tldr":190,"method":191,"finding":192,"direction":93,"opportunity":193},"系统综述农民对农业AI的感知、接受度、采纳意愿及障碍。","遵循PRISMA 2020指南，系统筛选并综合相关文献。","成本、基础设施、数字素养与信任是主要障碍，小农户受影响最大。","可研究低成本、本地化AI采纳模型及小农户数字包容机制。","智慧农业 \u002F 农业物联网","2026-09-25T23:30:09.670568Z",{"id":197,"title":198,"url":199,"summary":200,"summary_zh":201,"content":9,"source_name":202,"source_url":199,"published_at":203,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":204,"score_detail":205,"sources":208,"tags":210,"primary_topic":213,"secondary_topics":214,"classification":216,"search_phrases":232,"slug":235,"view_count":88,"doi":236,"paper":237,"created_at":252},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":206,"depth":110,"authority":131,"freshness":13,"relevant":22,"comment":207},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。",[209],{"name":202,"url":199},[116,117,28,211,212],"植物病害识别","可解释性",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[215],{"code":120,"slug":121,"name":122,"path":123,"parent_code":124},{"status":40,"locked":14,"version":41,"method":42,"evidence":217},{"candidates":218,"agricultural_evidence":47},[219,223,228],{"code":33,"score":131,"supported":47,"title":220,"abstract":221,"tags":222},[139],[139],[28],{"code":120,"score":13,"supported":47,"title":224,"abstract":226,"tags":227},[225],"computer vision",[],[117,211],{"code":142,"score":22,"supported":14,"title":229,"abstract":230,"tags":231},[],[],[116],[233,234],"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":236,"openalex_id":238,"authors":239,"venue":202,"cited_by_count":88,"oa_url":199,"card":246,"direction":250,"ingested_from":95},"W7223137323",[240,242,244],{"name":241,"orcid":9},"Akshay Ramgoolam",{"name":243,"orcid":9},"Priya Bundhoo Appadoo",{"name":245,"orcid":9},"Jean-Noël LEspérance",{"tldr":247,"method":248,"finding":249,"direction":250,"opportunity":251},"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":254,"title":255,"url":256,"summary":257,"summary_zh":258,"content":9,"source_name":202,"source_url":256,"published_at":203,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":259,"score_detail":260,"sources":262,"tags":264,"primary_topic":267,"secondary_topics":268,"classification":270,"search_phrases":285,"slug":288,"view_count":88,"doi":289,"paper":290,"created_at":304},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":18,"depth":110,"authority":131,"freshness":13,"relevant":22,"comment":261},"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。",[263],{"name":202,"url":256},[116,117,28,265,266],"作物病害识别","模型审计",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[269],{"code":120,"slug":121,"name":122,"path":123,"parent_code":124},{"status":40,"locked":14,"version":41,"method":42,"evidence":271},{"candidates":272,"agricultural_evidence":47},[273,277,281],{"code":33,"score":17,"supported":47,"title":274,"abstract":275,"tags":276},[139],[28,139],[28],{"code":120,"score":13,"supported":47,"title":278,"abstract":279,"tags":280},[225],[],[265,117],{"code":142,"score":22,"supported":14,"title":282,"abstract":283,"tags":284},[],[],[116],[286,287],"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":289,"openalex_id":291,"authors":292,"venue":202,"cited_by_count":88,"oa_url":256,"card":299,"direction":250,"ingested_from":95},"W7223088030",[293,295,297],{"name":294,"orcid":9},"Abdi-Basid Idriss Farah",{"name":296,"orcid":9},"Amina Abdillahi Guedi",{"name":298,"orcid":9},"Moussa Omar Youssouf",{"tldr":300,"method":301,"finding":302,"direction":250,"opportunity":303},"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":306,"title":307,"url":308,"summary":309,"summary_zh":310,"content":9,"source_name":10,"source_url":308,"published_at":203,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":311,"score_detail":312,"sources":315,"tags":317,"primary_topic":322,"secondary_topics":323,"classification":324,"search_phrases":361,"slug":364,"view_count":88,"doi":365,"paper":366,"created_at":395},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":131,"substance":313,"depth":19,"authority":20,"freshness":111,"relevant":22,"comment":314},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。",[316],{"name":10,"url":308},[28,318,319,320,321],"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":40,"locked":14,"version":41,"method":42,"evidence":325},{"candidates":326,"agricultural_evidence":47},[327,331,338,344,351,357],{"code":33,"score":131,"supported":47,"title":328,"abstract":329,"tags":330},[139],[139],[28],{"code":332,"score":98,"supported":47,"title":333,"abstract":334,"tags":337},"C",[],[335,336],"畜牧","livestock",[],{"code":37,"score":98,"supported":47,"title":339,"abstract":340,"tags":343},[],[341,342],"农村发展","rural development",[],{"code":345,"score":98,"supported":47,"title":346,"abstract":347,"tags":350},"H6",[],[348,349],"农业生态","agroecology",[],{"code":352,"score":53,"supported":47,"title":353,"abstract":354,"tags":356},"H7",[],[355],"干旱",[],{"code":155,"score":22,"supported":14,"title":358,"abstract":359,"tags":360},[],[],[319],[362,363],"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":365,"openalex_id":367,"authors":368,"venue":10,"cited_by_count":88,"oa_url":308,"card":389,"direction":393,"ingested_from":95},"W7223108121",[369,371,373,376,379,381,384,387],{"name":370,"orcid":9},"Rihab Mejri",{"name":372,"orcid":9},"Meriem Oueslati Zlaoui",{"name":374,"orcid":375},"Inès Gharbi","https:\u002F\u002Forcid.org\u002F0000-0003-2558-2134",{"name":377,"orcid":378},"Asma Souissi","https:\u002F\u002Forcid.org\u002F0000-0002-8680-5875",{"name":380,"orcid":9},"Ghada Ferchichi",{"name":382,"orcid":383},"Rania Soula","https:\u002F\u002Forcid.org\u002F0000-0002-6086-9176",{"name":385,"orcid":386},"Boubaker Dhehibi","https:\u002F\u002Forcid.org\u002F0000-0003-3854-6669",{"name":388,"orcid":9},"Mohamed Zied Dhraief",{"tldr":390,"method":391,"finding":392,"direction":393,"opportunity":394},"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 TAPE框架与CAET指数，调查60个农场比较四类种植系统。","多样化与综合系统CAET得分达52%，单作仅31%，且收入更高。","农业绿色发展与碳","可将TAPE与CAET指标数字化，构建小农生态转型监测与决策支持系统。","2026-10-22T11:20:15.716064Z",{"id":397,"title":398,"url":399,"summary":400,"summary_zh":9,"content":401,"source_name":402,"source_url":9,"published_at":203,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":403,"score_detail":404,"sources":406,"tags":408,"primary_topic":413,"secondary_topics":414,"classification":415,"search_phrases":426,"slug":429,"view_count":143,"doi":9,"paper":430,"created_at":438},5537,"农业产业园促进小农户融入数字化供应链：协同机制与制度逻辑","https:\u002F\u002Fkyy.nwafu.edu.cn\u002Fkjjz\u002Fxdkjjz\u002F557ffd662c8e4af98e46fbf90f35d91f.htm","西北农林科技大学阮俊虎教授团队联合德国哥廷根大学于晓华教授，以大荔县国家现代农业产业园等为典型案例，从交易成本理论出发围绕技术赋能、组织整合、规则治理与价值分配四个机制开展案例内分析与跨案例比较，揭示农业产业园作为中国特色制度平台促进小农户融入数字化供应链的深层逻辑。","近日，经济管理学院“数智农业运营管理团队”阮俊虎教授联合德国哥廷根大学于晓华教授在《中国农村经济》发表题为“农业产业园促进小农户融入数字化供应链：协同机制与制度逻辑”的研究论文，通过多案例研究揭示农业产业园促进小农户融入数字化供应链的协同机制，并阐释机制形成与运行的制度逻辑。博士研究生刘晨欢为第一作者，阮俊虎教授为通讯作者，王月博士和于晓华教授为合作学者。\n\n数字技术正深刻重构农产品供应链格局，大型电商平台等供应链核心主体加速构建覆盖生产源头至消费终端的数字化供应链体系，该体系不仅体现为数字技术在生产、销售、物流等环节的应用，更强调不同环节与经营主体之间的系统协同与数据贯通，小农户亟须有效融入数字化供应链以应对市场竞争格局的深刻变化。然而，“大国小农”国情农情下，小农户经营规模较小、土地细碎化程度较高，难以独立对接数字化、规模化的现代供应链体系。促进小农户深度融入数字化供应链，进而实现小农户和现代农业发展有机衔接，成为农业现代化进程中值得关注的重要议题。农业产业园作为区域农业发展的综合性制度平台，兼具资源集聚、组织协同与制度保障三重优势，能够为地方政府及园区经营管理主体协同整合制度资源并协调多元主体关系提供平台支撑，但将资源集聚、组织协同和制度供给优势转化为小农户融入数字化供应链的现实能力，其内在机理尚未得到系统性揭示。\n\n本文立足“农业产业园促进小农户融入数字化供应链的内在机理”这一科学问题，从交易成本理论出发，以大荔县国家现代农业产业园等为典型案例，围绕技术赋能、组织整合、规则治理和价值分配四个机制开展案例内分析与跨案例比较分析，揭示不同园区作用机制的共性、差异及情境适配特征，并从制度层面阐释农业产业园作为中国特色制度平台，促进小农户融入数字化供应链的深层逻辑。研究旨在为农业经营呈现小规模、分散化特征的国家和地区促进小农户和现代农业发展有机衔接提供理论参考与实践借鉴。\n\n该研究得到国家社会科学基金重大项目“我国农产品供应链数字化转型的发展战略与实施路径研究”（23&ZD123）的资助。\n\n论文链接：\n\n[https:\u002F\u002Fzgncjj.ajcass.com\u002F?jumpnotice=201606270007#\u002FissueDetail?contentId=123722&year=2026&issue=10&title=%E5%BD%93%E6%9C%9F%E7%9B%AE%E5%BD%95](https:\u002F\u002Fzgncjj.ajcass.com\u002F?jumpnotice=201606270007#\u002FissueDetail?contentId=123722&year=2026&issue=10&title=%E5%BD%93%E6%9C%9F%E7%9B%AE%E5%BD%95)\n\n编辑：张晴 终审：刘玉峰","中国农村经济 2026-10-21",82,{"impact":110,"substance":18,"depth":110,"authority":17,"freshness":111,"relevant":22,"comment":405},"核心期刊论文，多案例揭示农业产业园促进小农户融入数字化供应链的协同机制与制度逻辑，理论新意足、政策参考价值高，值得进入每日精选。",[407],{"name":402,"url":399},[409,28,410,411,412],"数字乡村","制度逻辑","数字化供应链","农业产业园",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":416},{"candidates":417,"agricultural_evidence":47},[418,422],{"code":33,"score":131,"supported":47,"title":419,"abstract":420,"tags":421},[28],[28],[28],{"code":161,"score":22,"supported":14,"title":423,"abstract":424,"tags":425},[],[],[409],[427,428],"农业产业园 小农户 数字化供应链","大荔县 国家现代农业产业园","农业产业园小农户数字化供应链-5537",{"doi":9,"openalex_id":9,"authors":431,"venue":9,"cited_by_count":88,"oa_url":9,"card":432,"direction":93,"ingested_from":437},[],{"tldr":433,"method":434,"finding":435,"direction":93,"opportunity":436},"以农业产业园为案例，揭示其促进小农户融入数字化供应链的机制与制度逻辑。","交易成本理论，大荔县等典型案例的案例内分析与跨案例比较。","技术赋能、组织整合、规则治理与价值分配四机制共同推动小农户融入数字化供应链。","可量化检验四机制对农户融入绩效的影响，并比较不同产业园模式的适用边界。","agent","2026-10-22T00:07:10.192700Z",{"id":440,"title":441,"url":442,"summary":443,"summary_zh":444,"content":9,"source_name":445,"source_url":442,"published_at":446,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":447,"score_detail":448,"sources":450,"tags":452,"primary_topic":457,"secondary_topics":463,"classification":470,"search_phrases":513,"slug":516,"view_count":88,"doi":517,"paper":518,"created_at":534},5478,"Characterisation of Food Security Situation for Smallholder Farmers in Zvimba","https:\u002F\u002Fdoi.org\u002F10.71458\u002Frx0qpm30","This study provides a comprehensive analysis of the food security situation among smallholder farmers (SHFs) in Zvimba District, Zimbabwe. Smallholder agriculture is the bedrock of Zimbabwe's food system, yet it remains highly vulnerable to a complex array of shocks and stressors. Using a mixed-methods approach, this research investigates the prevalence, drivers and lived experiences of food insecurity within this community. A structured survey was administered to 412 randomly selected smallholder households across the district's wards. The quantitative data were supplemented by 12 Focus Group Discussions (FGDs) and 24 Key Informant Interviews (KIIs) with farmers, community leaders and agricultural extension officers to capture qualitative nuances. The study is grounded in the Food Security Theory (FST), which conceptualises food security through its four pillars: food availability, food access, food utilisation and food stability. Findings reveal a precarious food security situation. Quantitatively, 78.4% of households were found to be food insecure, with an average Hunger Months Index of 4.7 months per year. The study identifies a significant disconnect between maize production, the national staple and household consumption, with over 65% of households failing to produce enough maize to meet their annual requirements. Qualitative data illuminated the multi-faceted drivers of this insecurity. Key points to note include climate change whereby erratic rainfall and prolonged mid-season dry spells were consistently reported as the primary production challenges, limited access to farming inputs whereby high costs and unreliable supplies of certified seeds, fertilizers and agro[1]chemicals constrain productivity. Morelso, socio-economic factors such as poverty, lack of viable alternative livelihoods and limited access to formal credit perpetuate a cycle of vulnerability. In addition, institutional weaknesses, for example, challenges with agricultural extension services and market inefficiencies, exacerbate the situation. The study concludes that food insecurity in Zvimba is not merely a problem of food production, but is deeply rooted in structural issues affecting food access, food utilisation, as well as food stability. Recommendations are proposed for a multi-sectoral approach, including promoting Climate-Smart Agriculture (CSA) and drought-resistant crops, strengthening input support systems and rural finance, diversifying livelihood strategies and enhancing the capacity of extension services. This research contributes to a deeper understanding of the localised dynamics of food security and provides evidence-based guidance for policymakers, development practitioners and the farmers of Zvimba themselves.","本研究对津巴布韦兹维姆巴区小农户（smallholder farmers, SHFs）的粮食安全状况进行了全面分析。小农农业是津巴布韦粮食体系的基石，但仍极易受到一系列复杂冲击和压力的影响。本研究采用混合方法，考察了该社区粮食不安全的普遍程度、驱动因素及生活体验。研究对该区各选区随机抽取的412户小农户进行了结构化问卷调查。定量数据辅以12次焦点小组讨论（FGDs）和24次关键知情人访谈（KIIs），访谈对象包括农民、社区领袖和农业推广人员，以捕捉定性层面的细微差异。本研究以粮食安全理论（Food Security Theory, FST）为基础，该理论通过四大支柱界定粮食安全：粮食可供性、粮食获取、粮食利用和粮食稳定性。研究结果揭示了严峻的粮食安全形势。定量数据显示，78.4%的家庭存在粮食不安全，年均饥饿月份指数为4.7个月。研究发现，玉米产量——该国主粮——与家庭消费之间存在显著脱节，超过65%的家庭生产的玉米不足以满足其年度需求。定性数据揭示了这一不安全状况的多重驱动因素。值得注意的要点包括：气候变化，即降雨不稳定和持续的中期干旱被一致报告为主要生产挑战；农业投入品获取受限，即认证种子、化肥和农用化学品成本高昂且供应不可靠，制约了生产力。此外，贫困、缺乏可行的替代生计以及正规信贷获取受限等社会经济因素使脆弱性循环持续存在。此外，制度薄弱环节，例如农业推广服务面临的挑战和市场效率低下，加剧了这一状况。研究得出结论，兹维姆巴的粮食不安全不仅仅是粮食生产问题，而是深深植根于影响粮食获取、粮食利用以及粮食稳定性的结构性问题。研究提出了采取多部门方法的建议，包括推广气候智能型农业（Climate-Smart Agriculture, CSA）和抗旱作物、加强投入品支持体系和农村金融、多样化生计策略以及增强","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations","2026-10-20T00:00:00Z",55,{"impact":21,"substance":110,"depth":17,"authority":98,"freshness":21,"relevant":22,"comment":449},"基于412户调查与混合方法的扎实实证研究，但属津巴布韦地方性案例，公共影响与信源权威度有限，可作参考而非每日精选。",[451],{"name":445,"url":442},[453,28,454,455,456],"粮食安全","气候智慧农业","农业推广","津巴布韦",{"code":458,"slug":459,"name":460,"path":461,"parent_code":462},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[464,465],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"code":352,"slug":466,"name":467,"path":468,"parent_code":469},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":40,"locked":14,"version":41,"method":42,"evidence":471},{"candidates":472,"agricultural_evidence":47},[473,478,482,489,495,502,509],{"code":458,"score":17,"supported":47,"title":474,"abstract":476,"tags":477},[475],"food security",[453,475],[453],{"code":33,"score":17,"supported":47,"title":479,"abstract":480,"tags":481},[139],[28,139],[28],{"code":352,"score":13,"supported":47,"title":483,"abstract":484,"tags":488},[],[485,355,486,487],"气候变化","climate change","drought",[454],{"code":490,"score":143,"supported":47,"title":491,"abstract":492,"tags":494},"G1",[],[455,493],"agricultural extension",[455],{"code":496,"score":98,"supported":47,"title":497,"abstract":498,"tags":501},"A3",[],[499,500],"玉米","maize",[],{"code":503,"score":98,"supported":47,"title":504,"abstract":505,"tags":508},"G3",[],[506,507],"农村金融","rural finance",[],{"code":142,"score":53,"supported":47,"title":510,"abstract":511,"tags":512},[],[147],[],[514,515],"Zvimba 小农户 粮食安全","津巴布韦 小农 玉米","Zvimba小农户粮食安全-5478","10.71458\u002Frx0qpm30",{"doi":517,"openalex_id":519,"authors":520,"venue":445,"cited_by_count":88,"oa_url":9,"card":529,"direction":194,"ingested_from":95},"W7223029383",[521,524,527],{"name":522,"orcid":523},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":525,"orcid":526},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":528,"orcid":9},"Patience Mutopo",{"tldr":530,"method":531,"finding":532,"direction":93,"opportunity":533},"调查津巴布韦Zvimba小农户粮食安全状况，分析其普遍性、成因与实际体验。","混合方法：412户问卷、12场焦点小组、24个关键人物访谈，基于粮食安全四支柱理","78.4%家庭粮食不安全，年均饥饿月4.7个月，主因是气候、投入、社会经济与制度等结构性问题。","可探索用移动端问卷与遥感产量监测构建小农户粮食安全动态预警与精准干预系统。","2026-10-21T23:30:08.937079Z"]