[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3753":3,"related-3753":64},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"primary_topic":8,"secondary_topics":31,"classification":32,"search_phrases":49,"slug":52,"view_count":53,"doi":8,"paper":54,"created_at":63},3753,"新疆棉农智能化技术采纳行为影响因素与组态路径研究","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F176828.html","基于428份新疆棉农微观调研数据，构建外部环境-主体认知-行为响应分析框架，结合PLS-SEM和fsQCA方法。政策支持、社会规范以及技术可及性构成外部驱动，自我效能和价值感知直接促进技术采纳并发挥中介效应。识别出社会学习与能力主导型和外部支持与效益主导型两种模式。",null,"干旱区资源与环境","2026-04-15T00:00:00Z","论文",10,false,67,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},16,21,17,13,0,1,"基于428份新疆棉农调研、PLS-SEM与fsQCA结合，方法规范结论有新意，但发表已逾五个月，时效性不足，难以进入每日精选。",[24],{"name":9,"url":6},[26,27,28,29,30],"智慧农业","技术采纳","fsQCA","棉农","新疆棉花",[],{"status":33,"locked":13,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":13,"reason":48},[38,43],{"code":39,"score":21,"supported":13,"title":40,"abstract":41,"tags":42},"G1",[],[],[27],{"code":44,"score":21,"supported":13,"title":45,"abstract":46,"tags":47},"I1",[],[],[26],"农业相关性需要复核",[50,51],"新疆棉农 技术采纳","智慧农业 棉农 调研","新疆棉农技术采纳-3753",5,{"doi":8,"openalex_id":8,"authors":55,"venue":8,"cited_by_count":20,"oa_url":8,"card":56,"direction":60,"ingested_from":62},[],{"tldr":57,"method":58,"finding":59,"direction":60,"opportunity":61},"基于428份新疆棉农调研数据，研究棉农智能化技术采纳行为的影响因素与组态路径。","428份微观调研数据，PLS-SEM与fsQCA结合，构建外部环境-主体认知-行","政策支持、社会规范、技术可及性为外部驱动，自我效能与价值感知有中介效应，识别出两类组态模式。","数字乡村与农业信息化","可拓展至不同作物或地区，比较组态路径差异，并追踪采纳行为的动态演化与绩效。","agent","2026-09-29T00:08:27.040886Z",{"total":65,"page":21,"page_size":65,"items":66},6,[67,128,184,255,315,378],{"id":68,"title":69,"url":70,"summary":71,"summary_zh":8,"content":8,"source_name":72,"source_url":8,"published_at":73,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":74,"sources":79,"tags":81,"primary_topic":84,"secondary_topics":90,"classification":91,"search_phrases":115,"slug":118,"view_count":20,"doi":119,"paper":120,"created_at":127},5529,"数字农业技术采纳的驱动因素与障碍：基于复杂网络与演化博弈的分析","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1894648\u002Ffull","文章从演化博弈视角构建数字农业技术采纳的驱动与阻碍机制框架，系统梳理影响农户采纳数字农业技术的关键因素与障碍路径。研究强调通用大模型难以直接满足专业知识、结果依据与溯源能力要求，为政策设计提供了技术采纳侧的理论依据。","Frontiers in Sustainable Food Systems 2026-10-19","2026-10-19T00:00:00Z",{"impact":75,"substance":76,"depth":16,"authority":19,"freshness":77,"relevant":21,"comment":78},12,18,8,"从演化博弈视角分析农户采纳数字农业技术的驱动与障碍，方法有新意、结论有政策参考价值，但属理论性论文，影响范围限于细分领域。",[80],{"name":72,"url":70},[82,26,27,83],"数字农业","农户行为",{"code":85,"slug":86,"name":87,"path":88,"parent_code":89},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[],{"status":92,"locked":13,"version":34,"method":35,"evidence":93},"classified",{"candidates":94,"agricultural_evidence":96},[95,100,106,110],{"code":44,"score":19,"supported":96,"title":97,"abstract":98,"tags":99},true,[82],[82],[82,26],{"code":85,"score":101,"supported":96,"title":102,"abstract":103,"tags":105},3,[],[104],"大模型",[],{"code":39,"score":21,"supported":13,"title":107,"abstract":108,"tags":109},[],[],[27],{"code":111,"score":21,"supported":13,"title":112,"abstract":113,"tags":114},"G2",[],[],[83],[116,117],"数字农业 技术采纳 演化博弈","农户行为 技术采纳 数字农业 智慧农业","数字农业技术采纳演化博弈-5529","10.3389\u002Ffsufs.2026.1894648\u002Ffull",{"doi":119,"openalex_id":8,"authors":121,"venue":8,"cited_by_count":20,"oa_url":8,"card":122,"direction":60,"ingested_from":62},[],{"tldr":123,"method":124,"finding":125,"direction":60,"opportunity":126},"构建演化博弈框架分析农户采纳数字农业技术的驱动因素与障碍路径。","演化博弈建模与复杂网络分析，梳理采纳影响因素。","通用大模型难以满足专业知识、结果依据与溯源要求，需政策引导。","可结合实证数据检验博弈模型，并探索面向溯源与专业知识的专用农业模型设计。","2026-10-22T00:07:09.498742Z",{"id":129,"title":130,"url":131,"summary":132,"summary_zh":8,"content":8,"source_name":133,"source_url":8,"published_at":134,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":135,"score_detail":136,"sources":139,"tags":141,"primary_topic":144,"secondary_topics":148,"classification":149,"search_phrases":171,"slug":174,"view_count":20,"doi":175,"paper":176,"created_at":183},4783,"Steering smart farming technology adoption toward a safe and just operating space","https:\u002F\u002Fbeta.iopscience.iop.org\u002Farticle\u002F10.1088\u002F2976-601X\u002Faeb127","Adenaeuer等学者首次将安全公正运营空间SJOS概念应用于智慧农业政策设计。文章提出智慧农业采纳率仍低于社会期望,需通过区域特定的政策激励引导最具社会环境价值的技术。文章给出四步实施框架:细分环境社会条件、评分现状、评估单项技术、综合排序。文章为政策制定者、研究者和产业相关方提供决策框架,面向全球应用。文中明确为预印本,未经过同行评审最终版。","IOP Publishing 2026-10-07","2026-10-07T00:00:00Z",71,{"impact":76,"substance":137,"depth":18,"authority":12,"freshness":65,"relevant":21,"comment":138},20,"首次将SJOS框架引入智慧农业政策设计，提出四步实施框架，具方法新颖性与政策参考价值，但为未经同行评审的预印本，权威性略打折。",[140],{"name":133,"url":131},[26,142,143,27],"农业政策","可持续农业",{"code":44,"slug":145,"name":146,"path":147,"parent_code":89},"smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture",[],{"status":92,"locked":13,"version":34,"method":35,"evidence":150},{"candidates":151,"agricultural_evidence":96},[152,157,162,166],{"code":44,"score":153,"supported":96,"title":154,"abstract":155,"tags":156},4,[],[26],[26],{"code":158,"score":101,"supported":96,"title":159,"abstract":160,"tags":161},"J1",[],[142],[],{"code":39,"score":21,"supported":13,"title":163,"abstract":164,"tags":165},[],[],[27],{"code":167,"score":21,"supported":13,"title":168,"abstract":169,"tags":170},"H8",[],[],[143],[172,173],"Adenaeuer 智慧农业 SJOS","安全公正运营空间 智慧农业","Adenaeuer智慧农业SJOS-4783","10.1088\u002F2976-601x\u002Faeb127",{"doi":175,"openalex_id":8,"authors":177,"venue":8,"cited_by_count":20,"oa_url":8,"card":178,"direction":60,"ingested_from":62},[],{"tldr":179,"method":180,"finding":181,"direction":60,"opportunity":182},"首次将安全公正运营空间概念用于智慧农业政策设计，提出引导技术采纳的四步框架。","概念移植与政策框架设计，基于区域环境社会条件评分与排序。","智慧农业采纳率低于社会期望，需区域特定政策激励引导高价值技术。","可实证检验四步框架在不同区域的适用性，并开发量化评估工具与决策支持系统。","2026-10-13T00:08:38.364182Z",{"id":185,"title":186,"url":187,"summary":188,"summary_zh":189,"content":8,"source_name":190,"source_url":187,"published_at":191,"category":11,"cover_url":8,"hotness":192,"is_selected":13,"score":193,"score_detail":194,"sources":197,"tags":201,"primary_topic":204,"secondary_topics":209,"classification":210,"search_phrases":237,"slug":240,"view_count":153,"doi":241,"paper":242,"created_at":254},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":76,"substance":137,"depth":18,"authority":19,"freshness":195,"relevant":21,"comment":196},9,"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。",[198,199],{"name":190,"url":187},{"name":190,"url":200},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22932899",[82,26,202,203,27],"农业人工智能","小农户",{"code":205,"slug":206,"name":207,"path":208,"parent_code":89},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot",[],{"status":92,"locked":13,"version":34,"method":35,"evidence":211},{"candidates":212,"agricultural_evidence":96},[213,218,224,228,233],{"code":44,"score":77,"supported":96,"title":214,"abstract":215,"tags":217},[],[82,216],"digital agriculture",[82,26],{"code":205,"score":65,"supported":96,"title":219,"abstract":220,"tags":223},[],[221,222],"物联网","internet of things",[],{"code":111,"score":153,"supported":96,"title":225,"abstract":226,"tags":227},[],[203],[203],{"code":85,"score":153,"supported":96,"title":229,"abstract":230,"tags":232},[],[231],"artificial intelligence",[202],{"code":39,"score":21,"supported":13,"title":234,"abstract":235,"tags":236},[],[],[27],[238,239],"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":241,"openalex_id":243,"authors":244,"venue":190,"cited_by_count":20,"oa_url":187,"card":247,"direction":252,"ingested_from":253},"W7214187008",[245],{"name":246,"orcid":8},"Chilufya Banda",{"tldr":248,"method":249,"finding":250,"direction":60,"opportunity":251},"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。","智慧农业 \u002F 农业物联网","openalex","2026-09-25T23:30:18.463733Z",{"id":256,"title":257,"url":258,"summary":259,"summary_zh":8,"content":8,"source_name":260,"source_url":258,"published_at":261,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":262,"score_detail":263,"sources":266,"tags":268,"primary_topic":8,"secondary_topics":272,"classification":273,"search_phrases":296,"slug":299,"view_count":300,"doi":301,"paper":302,"created_at":314},2623,"Technology adoption, varietal preferences and disease resistance: A systems perspective on management decisions in Australian grain production","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104972","Technology adoption, varietal preferences and disease resistance: A systems perspective on management decisions in Australian grain production。Agricultural Systems","Agricultural Systems","2026-09-16T00:00:00Z",70,{"impact":75,"substance":76,"depth":16,"authority":264,"freshness":12,"relevant":21,"comment":265},14,"澳大利亚粮食生产的技术采纳与品种抗病决策研究，方法系统、结论有参考价值，但属境外细分领域论文，公共影响有限，适合主题聚合而非每日精选。",[267],{"name":260,"url":258},[26,269,270,271,27],"种业振兴","小麦","病害防控",[],{"status":274,"locked":13,"version":34,"method":35,"evidence":275},"unclassified",{"candidates":276,"agricultural_evidence":96,"reason":295},[277,282,287,291],{"code":278,"score":21,"supported":13,"title":279,"abstract":280,"tags":281},"A2",[],[],[270],{"code":283,"score":21,"supported":13,"title":284,"abstract":285,"tags":286},"F1",[],[],[269],{"code":39,"score":21,"supported":13,"title":288,"abstract":289,"tags":290},[],[],[27],{"code":44,"score":21,"supported":13,"title":292,"abstract":293,"tags":294},[],[],[26],"缺少足够的主题证据",[297,298],"技术采纳 智慧农业 病害防控 种业振兴","技术采纳 智慧农业","技术采纳智慧农业病害防控种业振兴-2623",2,"10.1016\u002Fj.agsy.2026.104972",{"doi":301,"openalex_id":303,"authors":304,"venue":260,"cited_by_count":20,"oa_url":258,"card":8,"direction":8,"ingested_from":253},"W7213370283",[305,308,311],{"name":306,"orcid":307},"Abebayehu Girma Geffersa","https:\u002F\u002Forcid.org\u002F0000-0003-2108-1084",{"name":309,"orcid":310},"S. J. Sprague","https:\u002F\u002Forcid.org\u002F0000-0002-2622-645X",{"name":312,"orcid":313},"Luke G. Barrett","https:\u002F\u002Forcid.org\u002F0000-0001-6530-0731","2026-09-16T23:30:05.416368Z",{"id":316,"title":317,"url":318,"summary":319,"summary_zh":320,"content":8,"source_name":321,"source_url":318,"published_at":322,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":323,"score_detail":324,"sources":327,"tags":329,"primary_topic":333,"secondary_topics":338,"classification":339,"search_phrases":359,"slug":362,"view_count":21,"doi":363,"paper":364,"created_at":377},1971,"Can industry 5.0’s human-centric approach fulfill industry 4.0’s unrealized promise to agriculture?","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.atech.2026.102551","Agriculture sustains the world's growing population while facing a shrinking workforce increasingly reliant on temporary labor. Following the trajectory of industrial revolutions 1.0 through 3.0, agriculture has continuously adapted and improved its practices to meet rising food demand. Industry 4.0′s data-driven technologies, including artificial intelligence, smart sensors, robots, drones, and automated monitoring and decision-support systems, hold great promises for advancing sustainable agriculture and reducing dependency on human labor. However, the transition to Agriculture 4.0 has proven challenging, and the technologies have not been adopted as widely as expected. Adoption barriers stem from uncertainty about cost-effectiveness, driven by substantial initial investments in new technologies, and from uncertainty about how they integrate with existing workflows, alter operational processes, and affect efficiency, labor costs, and required skill sets, often exceeding farmers' knowledge bases and technical capacities. Recently, the Industry 5.0 framework emerged as an evolution, providing direction toward a human-centric, resilient, and sustainable industry. In this paper, I argue that Human Factors and Ergonomics (HF\u002FE), a scientific discipline concerned with human-system interactions and the application of evidence-based methods to inform human-centered design, has been largely absent from agricultural research and development discourse in Agriculture 4.0. Incorporating HF\u002FE methods into agricultural research and development has the potential to operationalize Industry 5.0′s human-centric vision, offering structured, evidence-based guidance on how to translate policy ambition into practical design and development, an approach that would benefit agricultural livelihoods and economic viability while helping agriculture meet global food demands.","农业支撑着全球不断增长的人口，却面临着日益缩减且愈发依赖临时劳动力的困境。沿循工业革命1.0至3.0的发展轨迹，农业不断调整和改进其生产方式，以满足日益增长的粮食需求。工业4.0时代的数据驱动技术，包括人工智能、智能传感器、机器人、无人机以及自动化监测和决策支持系统，为推进可持续农业、减少对人力的依赖带来了巨大希望。然而，向农业4.0的转型已被证明充满挑战，相关技术的普及程度远未达到预期。采用障碍源于对成本效益的不确定性——这由新技术所需的巨额初始投资驱动——以及对技术如何融入现有工作流程、改变操作过程、影响效率、劳动力成本和所需技能组合的不确定性，这些往往超出了农民的知识基础和技术能力。近期，工业5.0框架应运而生，作为一次演进，为以人为本、富有韧性和可持续的工业指明了方向。本文认为，人因学与工效学（Human Factors and Ergonomics, HF\u002FE）——一门关注人-系统交互、并应用循证方法为以人为本的设计提供依据的科学学科——在农业4.0的农业研究与发展讨论中基本缺席。将人因学与工效学方法纳入农业研究与发展，有望将工业5.0以人为本的愿景付诸实践，为如何将政策雄心转化为实际设计与发展提供结构化、循证的指导，这一路径将惠及农业生计和经济可行性，同时助力农业满足全球粮食需求。","Smart Agricultural Technology","2026-09-06T00:00:00Z",75,{"impact":76,"substance":325,"depth":76,"authority":19,"freshness":153,"relevant":21,"comment":326},22,"论文深入探讨农业4.0采纳障碍，提出以人因工程落实工业5.0人本理念，视角新颖，对智慧农业推广有参考价值。",[328],{"name":321,"url":318},[26,27,330,331,332],"人因工程","农业4.0","工业5.0",{"code":167,"slug":334,"name":335,"path":336,"parent_code":337},"sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture","H",[],{"status":92,"locked":13,"version":34,"method":35,"evidence":340},{"candidates":341,"agricultural_evidence":96},[342,347,351,355],{"code":167,"score":65,"supported":96,"title":343,"abstract":344,"tags":346},[],[143,345],"sustainable agriculture",[],{"code":85,"score":101,"supported":96,"title":348,"abstract":349,"tags":350},[],[231],[],{"code":39,"score":21,"supported":13,"title":352,"abstract":353,"tags":354},[],[],[27],{"code":44,"score":21,"supported":13,"title":356,"abstract":357,"tags":358},[],[],[26],[360,361],"人因工程 技术采纳 智慧农业 农业4.0","人因工程 技术采纳","人因工程技术采纳智慧农业农业4.0-1971","10.1016\u002Fj.atech.2026.102551",{"doi":363,"openalex_id":365,"authors":366,"venue":321,"cited_by_count":20,"oa_url":370,"card":371,"direction":375,"ingested_from":253},"W7210273202",[367],{"name":368,"orcid":369},"Yael Salzer","https:\u002F\u002Forcid.org\u002F0000-0001-9771-0452","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2772375526007768\u002Fpdf",{"tldr":372,"method":373,"finding":374,"direction":375,"opportunity":376},"论文主张将人因工程融入农业4.0，以实现工业5.0以人为本的愿景，促进技术采纳。","论述人因工程（HF\u002FE）在农业研发中的缺失，提出将其作为实现工业5.0以人为本的","农业4.0技术采纳受阻，人因工程可提供结构化指导，促进技术应用，提升农业可持续性。","农业人工智能与决策模型","研究人因工程在农业技术设计中的应用，如用户中心设计，可提高技术采纳率，填补农业信息化中人的因素研究空白。","2026-09-09T23:30:03.531577Z",{"id":379,"title":380,"url":381,"summary":382,"summary_zh":383,"content":8,"source_name":384,"source_url":381,"published_at":322,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":385,"score_detail":386,"sources":388,"tags":390,"primary_topic":392,"secondary_topics":396,"classification":397,"search_phrases":426,"slug":429,"view_count":300,"doi":430,"paper":431,"created_at":442},1894,"The Artefact Trap: Why Digital Agriculture Research Keeps Missing the Field","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fagriculture16171929","Digital agriculture (sensors, Internet of Things, machine learning, robotics, digital twins) has for fifteen years been sustained by massive investment promising more productive, precise, and sustainable agriculture, yet adoption remains heterogeneous and systemic impact limited despite intense scientific output. The dominant explanation treats this as a diffusion deficit and calls for more farmer training, advisory support, and subsidy; this reading leaves the structure of research itself unexamined and does not, on its own, explain why the gap between announced and delivered performance persists across technology generations. We argue that, alongside diffusion-side and demand-side factors, the paradox has a further, under-recognised upstream component: research design oriented towards technological artefacts rather than guaranteed functions. We develop the case for this complementary reading using Stahel’s performance economy framework and the Product-Service Systems literature. Four contributions follow: a tripartite typology of function (service-, specification-, and process-function) articulated hierarchically explains why research centred on specification-function alone cannot guarantee a service-function; current research is characterised, on the reading developed here, by three cumulative biases and three blind spots, including data governance and the under-representation of the social sciences; a four-axis reorientation agenda is proposed; and the framework is distinguished from Agricultural Innovation Systems, Responsible Research and Innovation, and mission-oriented research by specifying the functional level these leave indeterminate.","数字农业（传感器、物联网、机器学习、机器人技术、数字孪生）十五年来一直依靠巨额投资支撑，承诺实现更具生产力、精准和可持续的农业，然而尽管科学产出密集，技术采纳仍呈现异质性，系统性影响亦有限。主流解释将其视为扩散不足，呼吁加强农民培训、咨询支持和补贴；这一解读未审视研究本身的结构，且单凭自身无法解释为何在技术代际更迭中，宣称性能与实际交付之间的差距持续存在。我们认为，除扩散侧和需求侧因素外，这一悖论还存在一个被低估的上游组成部分：研究设计以技术人工物为导向，而非以保障功能为导向。我们借助Stahel的性能经济框架及产品-服务系统（Product-Service Systems）文献，为这一补充性解读提供论证。由此产生四项贡献：其一，提出功能的三分类型学（服务功能、规格功能与过程功能），并以层级化方式阐明为何仅聚焦于规格功能的研究无法保障服务功能；其二，基于本文的解读，当前研究呈现三种累积性偏差和三个盲点，包括数据治理及社会科学代表性不足；其三，提出四轴重定向议程；其四，通过明确上述框架在功能层面上的未决之处，将其与农业创新系统（Agricultural Innovation Systems）、负责任研究与创新（Responsible Research and Innovation）及使命导向型研究区分开来。","Agriculture",73,{"impact":76,"substance":325,"depth":76,"authority":75,"freshness":101,"relevant":21,"comment":387},"论文深刻剖析数字农业研究脱离田间的问题，提出功能导向框架，对智慧农业科研方向有重要启示。",[389],{"name":384,"url":381},[82,26,27,391],"研究范式",{"code":89,"slug":393,"name":394,"path":395,"parent_code":8},"digital-agriculture","数字农业与前沿技术","\u002Ftopic\u002Fdigital-agriculture",[],{"status":398,"locked":13,"version":34,"method":35,"evidence":399},"partial",{"candidates":400,"agricultural_evidence":96,"reason":425},[401,407,413,417,421],{"code":44,"score":402,"supported":96,"title":403,"abstract":404,"tags":406},19,[216],[82,405,216],"数字孪生",[82,26],{"code":85,"score":65,"supported":96,"title":408,"abstract":409,"tags":412},[],[410,411],"机器学习","machine learning",[],{"code":205,"score":65,"supported":96,"title":414,"abstract":415,"tags":416},[],[221,222],[],{"code":167,"score":101,"supported":96,"title":418,"abstract":419,"tags":420},[],[345],[],{"code":39,"score":21,"supported":13,"title":422,"abstract":423,"tags":424},[],[],[27],"一级领域明确，二级方向需要细分",[427,428],"技术采纳 数字农业 智慧农业 研究范式","技术采纳 数字农业","技术采纳数字农业智慧农业研究范式-1894","10.3390\u002Fagriculture16171929",{"doi":430,"openalex_id":432,"authors":433,"venue":384,"cited_by_count":20,"oa_url":381,"card":437,"direction":252,"ingested_from":253},"W7211897331",[434],{"name":435,"orcid":436},"Jean-Pierre Chanet","https:\u002F\u002Forcid.org\u002F0000-0002-7011-4535",{"tldr":438,"method":439,"finding":440,"direction":375,"opportunity":441},"指出数字农业研究因聚焦技术人工物而非功能，导致落地难，提出以功能为中心的重定向框架。","基于Stahel绩效经济与产品服务系统理论，构建功能三元类型学，分析研究偏差与盲","研究以规格功能为中心无法保证服务功能，需转向功能导向以弥合承诺与实效差距。","可探索将功能导向框架应用于具体农业场景，设计服务功能保障机制，弥补数据治理与社会科学参与空白。","2026-09-08T23:30:12.672902Z"]