[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4651":3,"related-4651":76},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":6,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":8,"secondary_topics":30,"classification":31,"search_phrases":55,"slug":58,"view_count":20,"doi":59,"paper":60,"created_at":75},4651,"A systems-oriented framework for wise, equitable, and sustainable digital agricultural transformation in sub-Saharan Africa: A critical review","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105004","A systems-oriented framework for wise, equitable, and sustainable digital agricultural transformation in sub-Saharan Africa: A critical review。Agricultural Systems",null,"Agricultural Systems","2026-10-10T00:00:00Z","论文",10,false,79,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,20,14,9,1,"发表于核心期刊的系统性综述，提出面向撒哈拉以南非洲的公平可持续数字农业转型框架，对数字乡村与智慧农业研究有参考价值，但属区域外学术成果，公共影响有限。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字农业","智慧农业","撒哈拉以南非洲","小农户","农业数字化转型",[],{"status":32,"locked":13,"version":33,"method":34,"evidence":35},"unclassified","2026-10-22.2","rules",{"candidates":36,"agricultural_evidence":53,"reason":54},[37,43,48],{"code":38,"score":39,"supported":13,"title":40,"abstract":41,"tags":42},"I1",3,[],[],[29,25,26],{"code":44,"score":20,"supported":13,"title":45,"abstract":46,"tags":47},"G2",[],[],[28],{"code":49,"score":20,"supported":13,"title":50,"abstract":51,"tags":52},"J3",[],[],[27],true,"缺少足够的主题证据",[56,57],"撒哈拉以南非洲 数字农业 转型","农业数字化转型 撒哈拉以南非洲 数字农业 智慧农业","撒哈拉以南非洲数字农业转型-4651","10.1016\u002Fj.agsy.2026.105004",{"doi":59,"openalex_id":61,"authors":62,"venue":9,"cited_by_count":72,"oa_url":6,"card":8,"direction":73,"ingested_from":74},"W7221333092",[63,66,69],{"name":64,"orcid":65},"Kibrom T. Sibhatu","https:\u002F\u002Forcid.org\u002F0000-0002-3063-8369",{"name":67,"orcid":68},"Maurice Tschopp","https:\u002F\u002Forcid.org\u002F0000-0001-6032-8823",{"name":70,"orcid":71},"Nicole Harari","https:\u002F\u002Forcid.org\u002F0000-0002-3730-5030",0,"智慧农业 \u002F 农业物联网","openalex","2026-10-11T23:30:03.913169Z",{"total":77,"page":20,"page_size":77,"items":78},6,[79,149,221,288,384,443],{"id":80,"title":81,"url":82,"summary":83,"summary_zh":84,"content":8,"source_name":85,"source_url":82,"published_at":86,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":87,"score_detail":88,"sources":92,"tags":94,"primary_topic":97,"secondary_topics":102,"classification":103,"search_phrases":131,"slug":134,"view_count":72,"doi":135,"paper":136,"created_at":148},4601,"Digital Agriculture and Sector Transformation in South Africa","https:\u002F\u002Fdoi.org\u002F10.36096\u002Fijbes.v8i4.1274","Digitalisation is increasingly promoted as a catalyst for agricultural productivity, climate resilience, and market integration. However, there is limited systematic analysis of how digital agricultural transformation unfolds within South Africa’s institutional and socio-economic context. This study examines the trajectory, drivers, and governance implications of digitalisation in South African agriculture. Anchored in an integrated Socio-Technical Systems and Digital Agriculture Ecosystem framework, the study applies a structured qualitative document analysis of 82 academic and policy documents published between 2013 and 2025. The findings reveal highly uneven digital adoption patterns that reflect a structural dualism between capital-intensive commercial agriculture and resource-constrained smallholder systems. While South Africa has developed a relatively advanced digital policy architecture, implementation fragmentation, infrastructure constraints, and limited capacity for extension impede inclusive digital outcomes. The study contributes by integrating socio-technical and ecosystem perspectives to analyse digital transitions in emerging economies and by providing a transparent analytical protocol for document-based research. Policy implications highlight the need for coordinated governance, investment in rural connectivity, and targeted support mechanisms to ensure equitable digital transformation.","数字化日益被视为提升农业生产力、增强气候韧性和促进市场整合的催化剂。然而，对于数字农业转型如何在南非的制度与社会经济语境中展开，尚缺乏系统性分析。本研究考察南非农业数字化的演进轨迹、驱动因素及治理意涵。研究以社会技术系统与数字农业生态系统的整合框架为依托，对2013年至2025年间发表的82份学术与政策文件进行了结构化定性文献分析。研究发现，数字技术采纳模式高度不均衡，反映出资本密集型商业农业与资源受限的小农体系之间的结构性二元分化。尽管南非已建立起相对先进的数字政策架构，但实施碎片化、基础设施制约以及推广能力有限等因素阻碍了包容性数字成果的实现。本研究的贡献在于整合社会技术与生态系统视角以分析新兴经济体的数字转型，并为基于文献的研究提供了透明的分析方案。政策启示强调，需通过协调治理、农村互联互通投资以及有针对性的支持机制，确保公平的数字转型。","International Journal of Business Ecosystem and Strategy (2687-2293)","2026-10-09T00:00:00Z",80,{"impact":16,"substance":89,"depth":16,"authority":90,"freshness":19,"relevant":20,"comment":91},22,13,"基于82份文献的系统性分析，揭示南非数字农业的结构性二元分化与治理碎片化，对新兴经济体数字乡村研究有参考价值。",[93],{"name":85,"url":82},[25,26,28,95,96],"南非农业","农村数字治理",{"code":44,"slug":98,"name":99,"path":100,"parent_code":101},"farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":104,"locked":13,"version":33,"method":34,"evidence":105},"classified",{"candidates":106,"agricultural_evidence":53},[107,113,119,125],{"code":38,"score":108,"supported":53,"title":109,"abstract":111,"tags":112},16,[110],"digital agriculture",[25,110],[25,26],{"code":44,"score":114,"supported":53,"title":115,"abstract":116,"tags":118},4,[],[117],"smallholder",[28],{"code":120,"score":39,"supported":53,"title":121,"abstract":122,"tags":124},"H6",[],[123],"农业生态",[],{"code":126,"score":39,"supported":53,"title":127,"abstract":128,"tags":130},"H7",[],[129],"climate resilience",[],[132,133],"南非 数字农业 转型","南非 小农户 数字鸿沟","南非数字农业转型-4601","10.36096\u002Fijbes.v8i4.1274",{"doi":135,"openalex_id":137,"authors":138,"venue":85,"cited_by_count":72,"oa_url":82,"card":142,"direction":146,"ingested_from":74},"W7221113328",[139],{"name":140,"orcid":141},"Mokgadi Julia Ngoepe-Ntsoane","https:\u002F\u002Forcid.org\u002F0000-0001-7995-4824",{"tldr":143,"method":144,"finding":145,"direction":146,"opportunity":147},"系统分析南非农业数字化轨迹、驱动因素与治理影响，揭示数字鸿沟与政策碎片化。","社会技术系统与数字农业生态框架，对82份2013-2025年文献政策进行结构化质","数字采用高度不均，商业农业与小农二元分化；政策先进但实施碎片化、基建与推广能力不足阻碍包容性转型。","数字乡村与农业信息化","可延伸至新兴经济体小农数字包容性治理机制与农村连接性投资评估的实证研究。","2026-10-10T23:30:34.991942Z",{"id":150,"title":151,"url":152,"summary":153,"summary_zh":154,"content":8,"source_name":155,"source_url":152,"published_at":156,"category":11,"cover_url":8,"hotness":157,"is_selected":13,"score":158,"score_detail":159,"sources":162,"tags":166,"primary_topic":169,"secondary_topics":175,"classification":176,"search_phrases":205,"slug":208,"view_count":114,"doi":209,"paper":210,"created_at":220},3482,"Digital Transformation and the Reconfiguration of Farming Systems: Understanding How Tech-nological Adoption and Institutional Conditions Shape Sustainable and Inclusive Agriculture","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22932900","Digital agriculture is progressively reshaping farming through the integration of sensors, artificial intelligence, Internet of Things technologies, digital platforms, data analytics, robotics and automated decision-support systems. This paper examines this transformation by connecting three complementary dimensions: the socio-technical development of digital agriculture, the determinants and processes of technological adoption, and the economic, organizational and inclusive consequences of digitalization for farming systems. The literature indicates that agricultural digitalization cannot be reduced to the availability of increasingly sophisticated technologies. Adoption and sustained use depend on farmers’ perceptions of usefulness and compatibility, farm resources, human capital, infrastructure, institutional support, advisory systems and the capacity to integrate technologies into established production routines. Digital technologies may improve resource efficiency, information management, productivity and sustainability, while also modifying labor organization, farmer autonomy, data governance and relationships among actors within agricultural value chains. These effects remain uneven across farms and territories, particularly where smallholders face financial, infrastructural and capability constraints. The paper therefore interprets digital agriculture as a multidimensional transformation whose outcomes depend on the interaction between technological capabilities, farmer behavior and institutional conditions. Inclusive and sustainable digitalization requires attention not only to innovation diffusion but also to governance, skills, accessibility and the distribution of technological benefits.","数字农业正通过传感器、人工智能、物联网技术、数字平台、数据分析、机器人技术和自动化决策支持系统的整合，逐步重塑农业生产方式。本文通过连接三个互补维度来考察这一转型：数字农业的社会技术发展、技术采纳的决定因素与过程，以及数字化对农业系统产生的经济、组织和包容性后果。文献表明，农业数字化不能简化为日益复杂的技术供给。采纳和持续使用取决于农民对有用性和兼容性的认知、农场资源、人力资本、基础设施、制度支持、咨询系统以及将技术整合到既定生产惯例中的能力。数字技术可能提高资源效率、信息管理、生产力和可持续性，同时也会改变劳动组织、农民自主性、数据治理以及农业价值链中参与者之间的关系。这些影响在农场和区域之间仍不均衡，尤其是小农户面临资金、基础设施和能力约束的地方。因此，本文将数字农业解释为一种多维转型，其结果取决于技术能力、农民行为和制度条件之间的相互作用。包容和可持续的数字化不仅需要关注创新扩散，还需要关注治理、技能、可及性和技术收益的分配。","Zenodo (CERN European Organization for Nuclear Research)","2026-09-24T00:00:00Z",25,77,{"impact":16,"substance":17,"depth":160,"authority":90,"freshness":19,"relevant":20,"comment":161},17,"系统梳理数字农业技术采纳与制度条件的研究综述，对智慧农业政策与推广有参考价值，但属文献综述类，非重大突破。",[163,164],{"name":155,"url":152},{"name":155,"url":165},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22932899",[25,26,167,28,168],"农业人工智能","技术采纳",{"code":170,"slug":171,"name":172,"path":173,"parent_code":174},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",[],{"status":104,"locked":13,"version":33,"method":34,"evidence":177},{"candidates":178,"agricultural_evidence":53},[179,184,190,194,200],{"code":38,"score":180,"supported":53,"title":181,"abstract":182,"tags":183},8,[],[25,110],[25,26],{"code":170,"score":77,"supported":53,"title":185,"abstract":186,"tags":189},[],[187,188],"物联网","internet of things",[],{"code":44,"score":114,"supported":53,"title":191,"abstract":192,"tags":193},[],[28],[28],{"code":195,"score":114,"supported":53,"title":196,"abstract":197,"tags":199},"I2",[],[198],"artificial intelligence",[167],{"code":201,"score":20,"supported":13,"title":202,"abstract":203,"tags":204},"G1",[],[],[168],[206,207],"农业人工智能 技术采纳 数字农业 智慧农业","农业人工智能 技术采纳","农业人工智能技术采纳数字农业智慧农业-3482","10.5281\u002Fzenodo.22932900",{"doi":209,"openalex_id":211,"authors":212,"venue":155,"cited_by_count":72,"oa_url":152,"card":215,"direction":73,"ingested_from":74},"W7214187008",[213],{"name":214,"orcid":8},"Chilufya Banda",{"tldr":216,"method":217,"finding":218,"direction":146,"opportunity":219},"综述数字农业转型，分析技术采纳与制度条件如何共同塑造可持续包容性农业。","文献综述，整合社会技术、技术采纳与数字化经济组织后果三维度。","数字化成效取决于技术能力、农户行为与制度条件的交互，小农面临多重约束。","可实证检验制度支持与农户能力如何调节数字技术对包容性和可持续性的影响。","2026-09-25T23:30:18.463733Z",{"id":222,"title":223,"url":224,"summary":225,"summary_zh":226,"content":8,"source_name":227,"source_url":224,"published_at":228,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":229,"score_detail":230,"sources":233,"tags":235,"primary_topic":238,"secondary_topics":239,"classification":240,"search_phrases":261,"slug":264,"view_count":114,"doi":265,"paper":266,"created_at":287},2516,"Scaling climate-smart agriculture through multi-channel advisory services: economic evaluation of weather information systems in sub-Saharan Africa","https:\u002F\u002Fdoi.org\u002F10.1080\u002F14735903.2026.2731746","Smallholder agriculture in sub-Saharan Africa is 95% rain-fed and exposed to climate variability. This post-implementation evaluation applies activity-based costing to weather advisory services delivered by PlantVillage in Kenya and Burkina Faso from 2022 to 2024 across television, radio, short message service (SMS), and community-based channels. A combined investment of USD 551,966 reached 9.41 million farmers at confirmed exposure and an estimated 14.5 million under a moderate-reach scenario (USD 0.038 per farmer). Because extended reach relies on literature-derived multipliers rather than direct measurement, we report a sensitivity range of USD 0.034 to 0.058; even at the conservative end, the cost advantage over Farmer Field Schools (USD 36 to 70 per participant) remains a factor of 620 to 1,200. Mass media achieved the lowest unit cost (USD 0.027 to 0.031), with evidence limited to confirmed exposure, whereas SMS supported intensive engagement at USD 0.60. In a convenience sample of 4,272 registered iShamba users in Kenya, 83.7% (n = 3,577) reported that advisories influenced their decisions, predominantly planting timing (51%) and farm-activity planning (23%). No comparable data were collected in Burkina Faso, and channel contributions appear complementary rather than demonstrably synergistic. Yields and income were not measured; causal impact requires experimental and longitudinal designs.","撒哈拉以南非洲的小农农业95%依赖雨养，易受气候变率影响。本项实施后评估采用作业成本法，对PlantVillage于2022至2024年间在肯尼亚和布基纳法索通过电视、广播、短信服务（SMS）及社区渠道提供的天气咨询服务进行成本核算。合计投资551,966美元，在确认触达口径下覆盖941万农民，在中度触达情景下估计覆盖1,450万农民（每农民0.038美元）。由于扩展触达依赖文献推导的乘数而非直接测量，我们报告0.034至0.058美元的敏感性区间；即使在保守端，相较于农民田间学校（每位参与者36至70美元）的成本优势仍达620至1,200倍。大众媒体的单位成本最低（0.027至0.031美元），但证据仅限于确认触达；短信则以每农民0.60美元支持深度参与。在肯尼亚4,272名注册iShamba用户的便利样本中，83.7%（n = 3,577）报告咨询信息影响了其决策，主要是种植时间（51%）和农事活动规划（23%）。布基纳法索未收集可比数据，各渠道的贡献似乎互补，而非可证明的协同。产量和收入未予测量；因果影响需要实验和纵向设计。","International Journal of Agricultural Sustainability","2026-09-13T00:00:00Z",78,{"impact":16,"substance":89,"depth":16,"authority":90,"freshness":231,"relevant":20,"comment":232},7,"基于成本核算的天气信息服务大规模评估，单位成本数据与渠道对比结论扎实，对农业气象信息化推广有参考价值。",[234],{"name":227,"url":224},[236,26,27,28,237],"数字乡村","农业气象服务",{"code":44,"slug":98,"name":99,"path":100,"parent_code":101},[],{"status":104,"locked":13,"version":33,"method":34,"evidence":241},{"candidates":242,"agricultural_evidence":53},[243,248,252,257],{"code":38,"score":19,"supported":53,"title":244,"abstract":246,"tags":247},[245],"smart agriculture",[],[26],{"code":44,"score":114,"supported":53,"title":249,"abstract":250,"tags":251},[],[117],[28],{"code":253,"score":20,"supported":13,"title":254,"abstract":255,"tags":256},"I6",[],[],[236],{"code":49,"score":20,"supported":13,"title":258,"abstract":259,"tags":260},[],[],[27],[262,263],"撒哈拉以南非洲 农业气象服务 数字乡村 智慧农业","撒哈拉以南非洲 农业气象服务","撒哈拉以南非洲农业气象服务数字乡村智慧农业-2516","10.1080\u002F14735903.2026.2731746",{"doi":265,"openalex_id":267,"authors":268,"venue":227,"cited_by_count":72,"oa_url":281,"card":282,"direction":73,"ingested_from":74},"W7212902218",[269,272,275,277,279],{"name":270,"orcid":271},"Rimnoma S. Ouedraogo","https:\u002F\u002Forcid.org\u002F0000-0003-3339-300X",{"name":273,"orcid":274},"Bipana Paudel Timilsena","https:\u002F\u002Forcid.org\u002F0000-0003-3584-0563",{"name":276,"orcid":8},"Nebnoma R. Tiendrebeogo",{"name":278,"orcid":8},"Derek Morr",{"name":280,"orcid":8},"D M Hughes","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Fpdf\u002F10.1080\u002F14735903.2026.2731746?needAccess=true",{"tldr":283,"method":284,"finding":285,"direction":146,"opportunity":286},"评估撒哈拉以南非洲多渠天气信息服务成本与农户决策影响。","采用活动成本法，分析2022-2024年肯尼亚和布基纳法索四类渠道数据。","人均成本仅0.038美元，远低于农民田间学校，83.7%用户称信息影响决策。","需实验与纵向设计验证天气信息对产量收入的因果影响及渠道协同效应。","2026-09-15T23:30:10.644934Z",{"id":289,"title":290,"url":291,"summary":292,"summary_zh":293,"content":8,"source_name":155,"source_url":291,"published_at":294,"category":11,"cover_url":8,"hotness":157,"is_selected":13,"score":295,"score_detail":296,"sources":300,"tags":304,"primary_topic":306,"secondary_topics":311,"classification":312,"search_phrases":366,"slug":369,"view_count":298,"doi":370,"paper":371,"created_at":383},1619,"Agricultural Technologies, Food Systems and Climate-Resilient Entrepreneurship in Kwara State, Nigeria: Opportunities, Challenges and Policy Imperatives","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22268616","The agricultural sector which contributes approximately 19-25% of the national GDP is facing increasing challenges from climate changes, food shortages and demographic expansion in Nigeria. The state of Kwara, which is found in Nigeria’s North-Central Agro-ecological region, offers a fascinating case study of how Agri-technology, climate-smart methods, and entrepreneurial creativity may interact to change food system. This paper examines the intersection of climate-smart business, food system resilience, and agricultural technology in Kwara State. The study's findings are supported by empirical research, government policy documents and industry reports that Kwara state is endowed with agricultural potential for commercial production of rice, casava, maize, soybeans and yam. It also revealed that climate change has reduced food accessibility for 94.8% of the farming households, increased food prices by 91.8% and limited access to market for 74.7% of the households. The study outlines the emergence of digital agricultural platforms, state-led mechanization programs and climate adaptation partnerships, such as the Kwara ACReSAL-IITA collaboration. Despite these developments, transformative effects are limited by persistent constraints; such as funding gaps, poor extension services, infrastructural deficits, insecurity and low adaptation of climate-smart technologies. The study recommends a wide-ranging policy framework focusing on blended financing, digital infrastructure, youth agripreneurship, and institutional collaboration to fast-track Kwara state’s transition into a climate-resilient, technology-led agricultural economy. The findings contribute to the broader discussion on agricultural transformation in sub-Saharan Africa and provide useful guidance for development experts, investors, and decision makers. Keywords: Agri-Tch, Climate-Smart Agriculture, Food System, Entrepreneurship, Kwara State, Nigeria, Digital Agriculture, Smallholder Farmers.","农业部门约占尼日利亚国内生产总值的19%至25%，正面临气候变化、粮食短缺和人口扩张带来的日益严峻的挑战。位于尼日利亚中北部农业生态区的夸拉州，为农业技术、气候智能型方法和创业创新如何相互作用以改变粮食体系提供了一个引人注目的案例研究。本文考察了夸拉州气候智能型商业、粮食体系韧性与农业技术之间的交汇点。研究结果得到实证研究、政府政策文件和行业报告的支持，表明夸拉州具备商业化生产水稻、木薯、玉米、大豆和山药等农产品的农业潜力。研究还揭示，气候变化已导致94.8%的农户家庭粮食可及性下降，使91.8%的家庭面临粮价上涨，并限制了74.7%的家庭进入市场的机会。研究概述了数字农业平台、国家主导的机械化项目和气候适应伙伴关系（如夸拉州ACReSAL-IITA合作项目）的出现。尽管取得了这些进展，但资金缺口、推广服务薄弱、基础设施不足、不安全因素以及气候智能型技术采用率低等持续存在的制约因素，限制了变革性效果的发挥。研究建议建立一个广泛的政策框架，重点关注混合融资、数字基础设施、青年农业创业和机构协作，以加快夸拉州向气候韧性、技术主导型农业经济的转型。研究结果为撒哈拉以南非洲农业转型的更广泛讨论做出了贡献，并为发展专家、投资者和决策者提供了有益的指导。关键词：农业技术、气候智能型农业、粮食体系、创业、夸拉州、尼日利亚、数字农业、小农户。","2026-09-03T00:00:00Z",56,{"impact":297,"substance":16,"depth":108,"authority":180,"freshness":298,"relevant":20,"comment":299},12,2,"聚焦尼日利亚Kwara州农业技术与气候适应创业，提供实证数据，但地域性强且时效性低。",[301,302],{"name":155,"url":291},{"name":155,"url":303},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22268615",[25,26,28,305],"气候韧性",{"code":126,"slug":307,"name":308,"path":309,"parent_code":310},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":104,"locked":13,"version":33,"method":34,"evidence":313},{"candidates":314,"agricultural_evidence":53},[315,320,327,331,338,345,351,357,361],{"code":38,"score":316,"supported":53,"title":317,"abstract":318,"tags":319},11,[],[25,245,110],[25,26],{"code":126,"score":12,"supported":53,"title":321,"abstract":322,"tags":326},[],[323,324,325],"气候变化","气候适应","climate change",[305],{"code":44,"score":231,"supported":53,"title":328,"abstract":329,"tags":330},[],[28,117],[28],{"code":332,"score":77,"supported":53,"title":333,"abstract":334,"tags":337},"A1",[],[335,336],"水稻","rice",[],{"code":339,"score":77,"supported":53,"title":340,"abstract":341,"tags":344},"A3",[],[342,343],"玉米","maize",[],{"code":346,"score":39,"supported":53,"title":347,"abstract":348,"tags":350},"A4",[],[349],"大豆",[],{"code":352,"score":39,"supported":53,"title":353,"abstract":354,"tags":356},"F5",[],[355],"机械化",[],{"code":120,"score":39,"supported":53,"title":358,"abstract":359,"tags":360},[],[123],[],{"code":49,"score":39,"supported":53,"title":362,"abstract":363,"tags":365},[],[364],"非洲农业",[],[367,368],"数字农业 智慧农业 气候韧性 小农户","数字农业 智慧农业","数字农业智慧农业气候韧性小农户-1619","10.5281\u002Fzenodo.22268616",{"doi":370,"openalex_id":372,"authors":373,"venue":155,"cited_by_count":72,"oa_url":291,"card":378,"direction":73,"ingested_from":74},"W7207600170",[374,376],{"name":375,"orcid":8},"Idowu Oluwafemi Sunday",{"name":377,"orcid":8},"Samuel Afuajemi Jonathan",{"tldr":379,"method":380,"finding":381,"direction":146,"opportunity":382},"探讨尼日利亚夸拉州农业技术、气候韧性创业与食品系统的互动，提出政策建议。","基于实证研究、政府政策文件和行业报告进行分析。","气候变化严重影响农户，数字农业平台涌现但受资金、基础设施等制约。","可研究非洲小农气候韧性转型中数字农业平台与混合融资模式的结合路径。","2026-09-04T23:30:09.960124Z",{"id":385,"title":386,"url":387,"summary":388,"summary_zh":389,"content":8,"source_name":155,"source_url":387,"published_at":390,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":391,"score_detail":392,"sources":395,"tags":397,"primary_topic":400,"secondary_topics":401,"classification":406,"search_phrases":422,"slug":425,"view_count":72,"doi":426,"paper":427,"created_at":442},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。","2026-10-21T00:00:00Z",69,{"impact":180,"substance":393,"depth":16,"authority":297,"freshness":12,"relevant":20,"comment":394},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。",[396],{"name":155,"url":387},[26,167,28,398,399],"植物病害识别","可解释性",{"code":44,"slug":98,"name":99,"path":100,"parent_code":101},[402],{"code":195,"slug":403,"name":404,"path":405,"parent_code":174},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"status":104,"locked":13,"version":33,"method":34,"evidence":407},{"candidates":408,"agricultural_evidence":53},[409,413,418],{"code":44,"score":297,"supported":53,"title":410,"abstract":411,"tags":412},[117],[117],[28],{"code":195,"score":12,"supported":53,"title":414,"abstract":416,"tags":417},[415],"computer vision",[],[167,398],{"code":38,"score":20,"supported":13,"title":419,"abstract":420,"tags":421},[],[],[26],[423,424],"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":426,"openalex_id":428,"authors":429,"venue":155,"cited_by_count":72,"oa_url":387,"card":436,"direction":440,"ingested_from":74},"W7223137323",[430,432,434],{"name":431,"orcid":8},"Akshay Ramgoolam",{"name":433,"orcid":8},"Priya Bundhoo Appadoo",{"name":435,"orcid":8},"Jean-Noël LEspérance",{"tldr":437,"method":438,"finding":439,"direction":440,"opportunity":441},"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":444,"title":445,"url":446,"summary":447,"summary_zh":448,"content":8,"source_name":155,"source_url":446,"published_at":390,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":449,"score_detail":450,"sources":452,"tags":454,"primary_topic":457,"secondary_topics":458,"classification":460,"search_phrases":476,"slug":479,"view_count":72,"doi":480,"paper":481,"created_at":495},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":180,"substance":89,"depth":16,"authority":297,"freshness":12,"relevant":20,"comment":451},"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。",[453],{"name":155,"url":446},[26,167,28,455,456],"作物病害识别","模型审计",{"code":44,"slug":98,"name":99,"path":100,"parent_code":101},[459],{"code":195,"slug":403,"name":404,"path":405,"parent_code":174},{"status":104,"locked":13,"version":33,"method":34,"evidence":461},{"candidates":462,"agricultural_evidence":53},[463,468,472],{"code":44,"score":464,"supported":53,"title":465,"abstract":466,"tags":467},15,[117],[28,117],[28],{"code":195,"score":12,"supported":53,"title":469,"abstract":470,"tags":471},[415],[],[455,167],{"code":38,"score":20,"supported":13,"title":473,"abstract":474,"tags":475},[],[],[26],[477,478],"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":480,"openalex_id":482,"authors":483,"venue":155,"cited_by_count":72,"oa_url":446,"card":490,"direction":440,"ingested_from":74},"W7223088030",[484,486,488],{"name":485,"orcid":8},"Abdi-Basid Idriss Farah",{"name":487,"orcid":8},"Amina Abdillahi Guedi",{"name":489,"orcid":8},"Moussa Omar Youssouf",{"tldr":491,"method":492,"finding":493,"direction":440,"opportunity":494},"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"]