[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4783":3,"related-4783":80},{"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":22,"tags":24,"primary_topic":29,"secondary_topics":35,"classification":36,"search_phrases":64,"slug":67,"view_count":68,"doi":69,"paper":70,"created_at":79},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。",null,"IOP Publishing 2026-10-07","2026-10-07T00:00:00Z","论文",10,false,71,{"impact":16,"substance":17,"depth":18,"authority":12,"freshness":19,"relevant":20,"comment":21},18,20,17,6,1,"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。",[23],{"name":9,"url":6},[25,26,27,28],"智慧农业","农业政策","可持续农业","技术采纳",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","I",[],{"status":37,"locked":13,"version":38,"method":39,"evidence":40},"classified","2026-10-22.2","rules",{"candidates":41,"agricultural_evidence":44},[42,48,54,59],{"code":30,"score":43,"supported":44,"title":45,"abstract":46,"tags":47},4,true,[],[25],[25],{"code":49,"score":50,"supported":44,"title":51,"abstract":52,"tags":53},"J1",3,[],[26],[],{"code":55,"score":20,"supported":13,"title":56,"abstract":57,"tags":58},"G1",[],[],[28],{"code":60,"score":20,"supported":13,"title":61,"abstract":62,"tags":63},"H8",[],[],[27],[65,66],"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",0,"10.1088\u002F2976-601x\u002Faeb127",{"doi":69,"openalex_id":8,"authors":71,"venue":8,"cited_by_count":68,"oa_url":8,"card":72,"direction":76,"ingested_from":78},[],{"tldr":73,"method":74,"finding":75,"direction":76,"opportunity":77},"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。","数字乡村与农业信息化","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。","agent","2026-10-13T00:08:38.364182Z",{"total":19,"page":20,"page_size":19,"items":81},[82,140,187,244,304,347],{"id":83,"title":84,"url":85,"summary":86,"summary_zh":87,"content":8,"source_name":88,"source_url":85,"published_at":89,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":90,"score_detail":91,"sources":95,"tags":97,"primary_topic":101,"secondary_topics":102,"classification":103,"search_phrases":121,"slug":124,"view_count":50,"doi":125,"paper":126,"created_at":139},4061,"Being Granular, Becoming Sustainable:","https:\u002F\u002Fdoi.org\u002F10.21248\u002Fka-notizen.88.61","This article examines the integration of digitization and environmental concerns in digital agriculture from the perspective of actors in smart farming in Switzerland. Those actors, previously unconnected to farming, promote the use of granular data to achieve more sustainable practices. Considering granularity as a practitioner-made achievement rather than a technical property alone, I draw on interviews and ethnographic observations, and rely on material-semiotic insights from STS (Law, 2008; Mol, 1999; Lien & Law, 2011) to examine how granularity data is brought into existence through heterogeneous practices. I first analyze how the connection between digital agriculture and more sustainable practices is operated as a motto, an aspirational principle that draws from different sources and comparisons. I then show how the production and interpretation of granular data depend on experimental infrastructures, interdisciplinary collaboration, and ongoing human interpretation, all of which contribute to the existence of granularity while enacting specific definitions of sustainability.","本文从瑞士智慧农业行动者的视角，考察数字农业中数字化与环境关切的融合。这些行动者此前与农业并无关联，他们推动利用细粒度数据来实现更可持续的实践。本文将细粒度视为实践者的成就而非单纯的技术属性，基于访谈和民族志观察，并借助STS（科学技术与社会研究）的物质-符号学洞见（Law, 2008; Mol, 1999; Lien & Law, 2011），考察细粒度数据如何通过异质性实践被带入存在。我首先分析数字农业与更可持续实践之间的关联如何作为一种箴言（motto）运作——这是一种从不同来源和比较中汲取的愿景性原则。随后我展示细粒度数据的生产和解读如何依赖于实验性基础设施、跨学科协作以及持续的人类解释活动，所有这些共同促成了细粒度的存在，同时也在 enact（制定\u002F施行）可持续性的特定定义。","Kulturanthropologie Notizen","2026-10-02T00:00:00Z",64,{"impact":92,"substance":16,"depth":18,"authority":93,"freshness":92,"relevant":20,"comment":94},8,13,"从STS视角剖析瑞士智慧农业中数据粒度与可持续性的建构过程，方法新颖、结论可靠，但属学术个案研究，公共影响有限。",[96],{"name":88,"url":85},[98,25,27,99,100],"数字农业","农业数据","瑞士",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":104},{"candidates":105,"agricultural_evidence":44},[106,112,116],{"code":30,"score":107,"supported":44,"title":108,"abstract":109,"tags":111},11,[],[25,98,110],"digital agriculture",[98,25],{"code":60,"score":20,"supported":13,"title":113,"abstract":114,"tags":115},[],[],[27],{"code":117,"score":20,"supported":13,"title":118,"abstract":119,"tags":120},"I6",[],[],[99],[122,123],"瑞士 智慧农业 数据粒度","可持续农业 农业数据 数字农业 智慧农业","瑞士智慧农业数据粒度-4061","10.21248\u002Fka-notizen.88.61",{"doi":125,"openalex_id":127,"authors":128,"venue":88,"cited_by_count":68,"oa_url":85,"card":132,"direction":137,"ingested_from":138},"W7216220972",[129],{"name":130,"orcid":131},"Mylène Tanferri","https:\u002F\u002Forcid.org\u002F0000-0003-1650-8442",{"tldr":133,"method":134,"finding":135,"direction":76,"opportunity":136},"从瑞士智慧农业行动者视角，探讨数字化与可持续性如何通过颗粒化数据实践结合。","访谈与民族志观察，结合STS物质符号学分析。","颗粒化数据是实践成就，依赖实验设施、跨学科协作和持续人为解释，并塑造特定可持续定义。","可研究颗粒化数据实践中不同行动者如何协商可持续性定义，及其对农户采纳的影响。","智慧农业 \u002F 农业物联网","openalex","2026-10-03T23:30:10.168598Z",{"id":141,"title":142,"url":143,"summary":144,"summary_zh":145,"content":8,"source_name":146,"source_url":143,"published_at":147,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":148,"score_detail":149,"sources":152,"tags":154,"primary_topic":157,"secondary_topics":158,"classification":159,"search_phrases":166,"slug":169,"view_count":170,"doi":171,"paper":172,"created_at":186},3018,"AGROPORTAL YAGONA PLATFORMASI ORQALI YER RESURSLARI TO‘G‘RISIDAGI MA’LUMOTLARNI INTEGRATSIYALASH: MUAMMOLAR VA YECHIMLAR","https:\u002F\u002Fdoi.org\u002F10.67048\u002Fqxju2026ai128iss7m1054","This scientific article provides a systematic analysis of the current state, achieved results, and existing challenges in implementing digital technologies within the agricultural sector of the Republic of Uzbekistan for 2025–2026. The paper highlights the “Digital Uzbekistan 2030” strategy, the Presidential Decree of August 2025, the unified “Digital Agriculture” platform (Agroportal), and legislative innovations concerning the digitalization of the agricultural support system. Based on statistical data and ongoing projects, prospective directions for the sector’s digital transformation are identified.","本文系统分析了2025—2026年乌兹别克斯坦共和国农业领域数字技术实施的现状、已取得的成果及现有挑战。文章重点阐述了“数字乌兹别克斯坦2030”战略、2025年8月总统令、统一的“数字农业”平台（Agroportal），以及涉及农业支持体系数字化的立法创新。基于统计数据及正在实施的项目，本文明确了该领域数字化转型的前景方向。","Agro ilm","2026-09-18T00:00:00Z",77,{"impact":150,"substance":17,"depth":18,"authority":12,"freshness":92,"relevant":20,"comment":151},22,"系统梳理乌兹别克斯坦农业数字化平台与政策进展，含2025年总统令等实质信息，对农业信息化研究有参考价值。",[153],{"name":146,"url":143},[98,25,26,155,156],"农业数据整合","数字乌兹别克斯坦",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":160},{"candidates":161,"agricultural_evidence":44},[162],{"code":30,"score":92,"supported":44,"title":163,"abstract":164,"tags":165},[],[98,110],[98,25],[167,168],"乌兹别克斯坦 Agroportal 数字农业","数字乌兹别克斯坦 农业数据整合 农业政策 数字农业","乌兹别克斯坦Agroportal数字农业-3018",2,"10.67048\u002Fqxju2026ai128iss7m1054",{"doi":171,"openalex_id":173,"authors":174,"venue":146,"cited_by_count":68,"oa_url":143,"card":181,"direction":76,"ingested_from":138},"W7213649986",[175,178],{"name":176,"orcid":177},"Maxfuza Abdullayeva","https:\u002F\u002Forcid.org\u002F0009-0000-6004-6260",{"name":179,"orcid":180},"Islam Akramov","https:\u002F\u002Forcid.org\u002F0009-0009-1574-1534",{"tldr":182,"method":183,"finding":184,"direction":76,"opportunity":185},"分析乌兹别克斯坦农业数字化现状，聚焦Agroportal平台整合土地资源数据的问题与对策。","基于统计数据和政策文件，系统分析2025-2026年农业数字化进展。","Agroportal平台是土地资源数据整合的关键，但面临数据集成与制度障碍。","可研究土地资源数据跨部门整合的互操作机制与农户采纳影响因素。","2026-09-20T23:30:28.150963Z",{"id":188,"title":189,"url":190,"summary":191,"summary_zh":8,"content":8,"source_name":192,"source_url":190,"published_at":193,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":194,"score_detail":195,"sources":200,"tags":202,"primary_topic":207,"secondary_topics":208,"classification":209,"search_phrases":223,"slug":226,"view_count":68,"doi":227,"paper":228,"created_at":243},5539,"Robust and transparent crop-row detection from RGB field imagery for vision-based agricultural guidance systems","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11119-026-10473-z","Robust and transparent crop-row detection from RGB field imagery for vision-based agricultural guidance systems。Precision Agriculture","Precision Agriculture","2026-10-22T00:00:00Z",79,{"impact":196,"substance":197,"depth":16,"authority":198,"freshness":12,"relevant":20,"comment":199},16,21,14,"核心期刊新论文，提出鲁棒且可解释的RGB作物行检测方法，对视觉导航农机具参考价值明确，但属细分技术进展，未达重大突破层级。",[201],{"name":192,"url":190},[25,203,204,205,206],"农业人工智能","精准农业","机器视觉","作物行检测",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":210},{"candidates":211,"agricultural_evidence":44},[212,218],{"code":30,"score":213,"supported":44,"title":214,"abstract":215,"tags":217},5,[],[216],"precision agriculture",[25,204],{"code":219,"score":170,"supported":13,"title":220,"abstract":221,"tags":222},"I2",[],[],[203,205],[224,225],"RGB 作物行检测","农业人工智能 作物行检测 智慧农业 机器视觉","RGB作物行检测-5539","10.1007\u002Fs11119-026-10473-z",{"doi":227,"openalex_id":229,"authors":230,"venue":192,"cited_by_count":68,"oa_url":8,"card":8,"direction":8,"ingested_from":138},"W7223117828",[231,234,237,240],{"name":232,"orcid":233},"Esther Gascó","https:\u002F\u002Forcid.org\u002F0000-0003-1798-4483",{"name":235,"orcid":236},"Clara I. López-González","https:\u002F\u002Forcid.org\u002F0000-0002-2755-1692",{"name":238,"orcid":239},"Eva Besada-Portas","https:\u002F\u002Forcid.org\u002F0000-0001-6129-4653",{"name":241,"orcid":242},"Gonzalo Pájares","https:\u002F\u002Forcid.org\u002F0000-0003-0915-6282","2026-10-22T11:20:09.678587Z",{"id":245,"title":246,"url":247,"summary":248,"summary_zh":249,"content":8,"source_name":250,"source_url":247,"published_at":251,"category":11,"cover_url":8,"hotness":252,"is_selected":13,"score":253,"score_detail":254,"sources":259,"tags":263,"primary_topic":268,"secondary_topics":269,"classification":270,"search_phrases":287,"slug":290,"view_count":68,"doi":291,"paper":292,"created_at":303},5397,"The Relationship Between Nutrient Concentration and Measurable Optical Characteristics of Banana Leaves: A Quantitative Image-Based Study","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23469780","Relationship between Nutrient Concentration and Measurable Optical Characteristics of Banana Leaves: A Quantitative Image-Based Study explores the relationship between nutrient concentrations and the optical characteristics of banana leaves using quantitative image analysis. The study focuses on measurable leaf features, including colour intensity, RGB values, and other image-derived parameters, to identify patterns associated with plant nutrient status. Digital images of banana leaves can provide valuable information about variations in leaf appearance that may reflect differences in nutrient availability. By analysing these characteristics alongside nutrient concentration measurements, the study aims to establish quantitative relationships that can support plant nutrient assessment. This approach may contribute to the development of cost-effective, non-destructive, and image-based techniques for monitoring banana plant health. The findings can be useful for precision agriculture, crop management, and future research on digital image processing for agricultural applications.","香蕉叶片养分浓度与可测量光学特征之间的关系：一项基于定量图像的研究探讨了利用定量图像分析研究香蕉叶片养分浓度与光学特征之间的关系。该研究聚焦于可测量的叶片特征，包括颜色强度、RGB值及其他图像衍生参数，以识别与植物养分状况相关的模式。香蕉叶片的数字图像可提供关于叶片外观变化的有价值信息，这些变化可能反映养分有效性的差异。通过将这些特征与养分浓度测量结果一并分析，该研究旨在建立可支持植物养分评估的定量关系。该方法可能有助于开发低成本、非破坏性且基于图像的香蕉植株健康监测技术。研究结果可用于精准农业、作物管理以及未来农业应用数字图像处理的研究。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-19T00:00:00Z",25,66,{"impact":255,"substance":16,"depth":256,"authority":255,"freshness":257,"relevant":20,"comment":258},12,15,9,"该研究基于图像定量分析香蕉叶片营养状况，方法新颖且面向无损监测，对精准农业有参考价值，但属单作物探索性研究，影响范围有限。",[260,261],{"name":250,"url":247},{"name":250,"url":262},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23470020",[25,264,265,266,267],"图像分析","香蕉","无损监测","作物营养",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":271},{"candidates":272,"agricultural_evidence":44},[273,278,283],{"code":30,"score":274,"supported":44,"title":275,"abstract":276,"tags":277},7,[],[204,216],[25],{"code":279,"score":20,"supported":13,"title":280,"abstract":281,"tags":282},"B2",[],[],[265],{"code":219,"score":20,"supported":13,"title":284,"abstract":285,"tags":286},[],[],[264],[288,289],"香蕉叶片 营养浓度 图像分析","香蕉 无损监测 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2000-2026 Systematic Review.","https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.22601.71520","Understanding the Digital Agriculture Landscape in Central Africa: 2000-2026 Systematic Review.。OpenAlex","OpenAlex",37,{"impact":92,"substance":19,"depth":92,"authority":19,"freshness":257,"relevant":20,"comment":312},"中非数字农业系统综述，主题相关但摘要信息极少，仅题录级元数据，增量与权威性有限，不建议进入每日精选。",[314,315],{"name":309,"url":307},{"name":309,"url":316},"https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.16146.41922",[98,25,318,319],"农业信息化","中非",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":323},{"candidates":324,"agricultural_evidence":44},[325],{"code":30,"score":198,"supported":44,"title":326,"abstract":327,"tags":328},[110],[110],[318,98,25],[330,331],"中非 数字农业","农业信息化 数字农业 智慧农业 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