[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3520":3,"related-3520":78},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":56,"slug":59,"view_count":60,"doi":61,"paper":62,"created_at":77},3520,"Factors influencing digital technology investments on French farms","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11119-026-10429-3","Factors influencing digital technology investments on French farms。Precision Agriculture",null,"Precision Agriculture","2026-09-25T00:00:00Z","论文",10,false,68,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},12,18,16,14,8,1,"核心期刊论文，方法数据扎实，但研究对象为法国农场，对国内三农实践的直接参考价值有限，时效性尚可。",[24],{"name":9,"url":6},[26,27,28,29,30],"数字农业","智慧农业","精准农业","农业投资","法国农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","I",[],{"status":39,"locked":13,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,51],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":50},6,true,[],[49],"precision agriculture",[26,27,28],{"code":52,"score":21,"supported":13,"title":53,"abstract":54,"tags":55},"G3",[],[],[29],[57,58],"法国农场 数字技术 投资","Precision Agriculture 法国","法国农场数字技术投资-3520",2,"10.1007\u002Fs11119-026-10429-3",{"doi":61,"openalex_id":63,"authors":64,"venue":9,"cited_by_count":74,"oa_url":8,"card":8,"direction":75,"ingested_from":76},"W7214319682",[65,68,71],{"name":66,"orcid":67},"Maha Ben Jaballah","https:\u002F\u002Forcid.org\u002F0000-0002-4489-278X",{"name":69,"orcid":70},"Aude Ridier","https:\u002F\u002Forcid.org\u002F0000-0002-7893-735X",{"name":72,"orcid":73},"Karine Daniel","https:\u002F\u002Forcid.org\u002F0000-0001-9550-5666",0,"数字乡村与农业信息化","openalex","2026-09-26T23:30:02.695117Z",{"total":45,"page":21,"page_size":45,"items":79},[80,133,185,231,271,318],{"id":81,"title":82,"url":83,"summary":84,"summary_zh":85,"content":8,"source_name":86,"source_url":83,"published_at":87,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":88,"score_detail":89,"sources":92,"tags":94,"primary_topic":97,"secondary_topics":98,"classification":99,"search_phrases":110,"slug":113,"view_count":21,"doi":114,"paper":115,"created_at":132},5103,"Assessment of the efficiency of resource potential utilization in the agricultural sector of the economy under investment and innovation development","https:\u002F\u002Fdoi.org\u002F10.32782\u002Fnvlvet-e10701","Ukraine’s agricultural sector is undergoing transformation under the influence of wartime challenges, economic restructuring, European integration, digitalization, and the growing need for sustainable resource management. Improving the efficiency of resource potential utilization has become a prerequisite for strengthening the competitiveness and sustainability of agricultural enterprises. The purpose of this study is to provide a comprehensive assessment of the efficiency of resource potential utilization in the agricultural sector of the economy under investment and innovation development and to substantiate organizational and economic measures for its improvement. The research is based on a systems approach using economic-statistical, comparative, analytical, economic-mathematical, graphical, forecasting, and composite assessment methods. The empirical analysis covers agricultural enterprises in the Poltava region during 2015–2025. Resource potential utilization efficiency was comprehensively assessed by integrating economic, investment, innovation, environmental, and managerial indicators. The results show that technological modernization, digital transformation, investment activity, and strategic management are the principal drivers of efficient resource utilization and sustainable enterprise development. An integrated organizational and economic model for resource potential development is proposed, combining precision agriculture, digital monitoring, resource-saving technologies, and human capital development. Forecasting confirms the positive impact of the proposed measures on labour productivity, capital productivity, profitability, investment activity, digitalization, and the integrated indicator of resource utilization efficiency. The scientific novelty lies in improving a comprehensive methodological approach to assessing the efficiency of resource potential utilization in the agricultural sector of the economy through integrating economic, investment, innovation, environmental, and managerial components. The practical significance lies in applying the proposed approach to strategic planning for agricultural enterprise development, investment decision-making, and improving resource management efficiency.","乌克兰农业部门正处在战时挑战、经济结构调整、欧洲一体化、数字化以及可持续资源管理需求日益增长等多重因素影响下的转型进程之中。提高资源潜力利用效率已成为增强农业企业竞争力和可持续性的先决条件。本研究旨在对投资与创新发展背景下经济中农业部门的资源潜力利用效率进行综合评估，并为其改进提供组织与经济措施的依据。研究基于系统方法，运用了经济统计、比较、分析、经济数学、图形、预测及综合评估等方法。实证分析涵盖2015—2025年波尔塔瓦地区的农业企业。通过整合经济、投资、创新、环境和管理指标，对资源潜力利用效率进行了综合评估。结果表明，技术现代化、数字化转型、投资活动和战略管理是高效资源利用与企业可持续发展的主要驱动力。研究提出了一个资源潜力发展的综合组织与经济模型，将精准农业、数字监测、资源节约技术和人力资本开发相结合。预测结果证实了所提措施对劳动生产率、资本生产率、盈利能力、投资活动、数字化以及资源利用效率综合指标的积极影响。本研究的科学新颖性在于，通过整合经济、投资、创新、环境和管理等组成部分，改进了评估经济中农业部门资源潜力利用效率的综合方法论。其实践意义在于将所提方法应用于农业企业发展的战略规划、投资决策以及提高资源管理效率。","Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies","2026-10-15T00:00:00Z",63,{"impact":20,"substance":17,"depth":18,"authority":16,"freshness":90,"relevant":21,"comment":91},9,"区域实证研究，方法综合但影响限于乌克兰波尔塔瓦地区，对国内三农信息化参考价值有限。",[93],{"name":86,"url":83},[26,28,29,95,96],"乌克兰农业","农业资源利用",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":100},{"candidates":101,"agricultural_evidence":46},[102,106],{"code":32,"score":20,"supported":46,"title":103,"abstract":104,"tags":105},[],[28,49],[26,28],{"code":52,"score":21,"supported":13,"title":107,"abstract":108,"tags":109},[],[],[29],[111,112],"波尔塔瓦 农业企业 资源潜力","乌克兰 数字化 投资","波尔塔瓦农业企业资源潜力-5103","10.32782\u002Fnvlvet-e10701",{"doi":114,"openalex_id":116,"authors":117,"venue":86,"cited_by_count":74,"oa_url":83,"card":127,"direction":75,"ingested_from":76},"W7221969015",[118,121,124],{"name":119,"orcid":120},"Olena Bukhalo","https:\u002F\u002Forcid.org\u002F0000-0001-7776-6715",{"name":122,"orcid":123},"Андрій Петрович Дорошенко","https:\u002F\u002Forcid.org\u002F0000-0002-6314-1586",{"name":125,"orcid":126},"Yuri Nesterenko","https:\u002F\u002Forcid.org\u002F0009-0000-5831-4465",{"tldr":128,"method":129,"finding":130,"direction":75,"opportunity":131},"评估乌克兰波尔塔瓦地区农业企业资源潜力利用效率并提出改进措施。","系统方法结合经济统计、比较、预测与复合评估，分析2015-2025年农业企业数据","技术现代化、数字化、投资与战略管理是资源高效利用和可持续发展的主要驱动力。","可延伸至战后或转型期农业数字化投资对资源效率的因果机制与动态监测研究。","2026-10-16T23:30:33.662938Z",{"id":134,"title":135,"url":136,"summary":137,"summary_zh":8,"content":8,"source_name":9,"source_url":136,"published_at":138,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":139,"score_detail":140,"sources":143,"tags":145,"primary_topic":149,"secondary_topics":150,"classification":151,"search_phrases":164,"slug":167,"view_count":74,"doi":168,"paper":169,"created_at":184},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","2026-10-22T00:00:00Z",79,{"impact":18,"substance":141,"depth":17,"authority":19,"freshness":12,"relevant":21,"comment":142},21,"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。",[144],{"name":9,"url":136},[27,146,28,147,148],"农业人工智能","机器视觉","作物行检测",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":152},{"candidates":153,"agricultural_evidence":46},[154,159],{"code":32,"score":155,"supported":46,"title":156,"abstract":157,"tags":158},5,[],[49],[27,28],{"code":160,"score":60,"supported":13,"title":161,"abstract":162,"tags":163},"I2",[],[],[146,147],[165,166],"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":168,"openalex_id":170,"authors":171,"venue":9,"cited_by_count":74,"oa_url":8,"card":8,"direction":8,"ingested_from":76},"W7223117828",[172,175,178,181],{"name":173,"orcid":174},"Esther Gascó","https:\u002F\u002Forcid.org\u002F0000-0003-1798-4483",{"name":176,"orcid":177},"Clara I. López-González","https:\u002F\u002Forcid.org\u002F0000-0002-2755-1692",{"name":179,"orcid":180},"Eva Besada-Portas","https:\u002F\u002Forcid.org\u002F0000-0001-6129-4653",{"name":182,"orcid":183},"Gonzalo Pájares","https:\u002F\u002Forcid.org\u002F0000-0003-0915-6282","2026-10-22T11:20:09.678587Z",{"id":186,"title":187,"url":188,"summary":189,"summary_zh":8,"content":8,"source_name":190,"source_url":188,"published_at":191,"category":11,"cover_url":8,"hotness":192,"is_selected":13,"score":193,"score_detail":194,"sources":196,"tags":200,"primary_topic":203,"secondary_topics":204,"classification":205,"search_phrases":213,"slug":216,"view_count":74,"doi":217,"paper":218,"created_at":230},5396,"Understanding the Digital Agriculture Landscape in Central Africa: 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","2026-10-19T00:00:00Z",25,37,{"impact":20,"substance":45,"depth":20,"authority":45,"freshness":90,"relevant":21,"comment":195},"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。",[197,198],{"name":190,"url":188},{"name":190,"url":199},"https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.16146.41922",[26,27,201,202],"农业信息化","中非",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":206},{"candidates":207,"agricultural_evidence":46},[208],{"code":32,"score":19,"supported":46,"title":209,"abstract":211,"tags":212},[210],"digital agriculture",[210],[201,26,27],[214,215],"中非 数字农业","农业信息化 数字农业 智慧农业 中非","中非数字农业-5396","10.13140\u002Frg.2.2.22601.71520",{"doi":217,"openalex_id":219,"authors":220,"venue":8,"cited_by_count":74,"oa_url":188,"card":8,"direction":75,"ingested_from":76},"W7222930115",[221,223,225,228],{"name":222,"orcid":8},"Anani Ogou",{"name":224,"orcid":8},"Henry Chotangui",{"name":226,"orcid":227},"Honoré Beyegue-Djonko","https:\u002F\u002Forcid.org\u002F0009-0004-6447-5889",{"name":229,"orcid":8},"Christopher Mubeteneh Tankou","2026-10-20T23:30:22.542913Z",{"id":232,"title":233,"url":234,"summary":235,"summary_zh":8,"content":8,"source_name":190,"source_url":234,"published_at":191,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":236,"score_detail":237,"sources":239,"tags":241,"primary_topic":244,"secondary_topics":245,"classification":246,"search_phrases":259,"slug":262,"view_count":74,"doi":263,"paper":264,"created_at":270},5380,"Automation, Robotics, and Precision Agriculture Transformation Through Smart Harvest Systems","https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.17987.98089","Automation, Robotics, and Precision Agriculture Transformation Through Smart Harvest Systems。OpenAlex",56,{"impact":17,"substance":20,"depth":12,"authority":16,"freshness":20,"relevant":21,"comment":238},"主题契合智慧农业，但摘要仅为标题重复、缺乏方法与数据细节，信息增量有限，暂不建议进入每日精选。",[240],{"name":190,"url":234},[27,242,28,243],"农业机器人","智能采收",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":247},{"candidates":248,"agricultural_evidence":46},[249,254],{"code":32,"score":250,"supported":46,"title":251,"abstract":252,"tags":253},13,[49],[49],[27,28],{"code":255,"score":21,"supported":13,"title":256,"abstract":257,"tags":258},"F6",[],[],[242],[260,261],"农业机器人 智慧农业 智能采收 精准农业","农业机器人 智慧农业","农业机器人智慧农业智能采收精准农业-5380","10.13140\u002Frg.2.2.17987.98089",{"doi":263,"openalex_id":265,"authors":266,"venue":8,"cited_by_count":74,"oa_url":234,"card":8,"direction":269,"ingested_from":76},"W7222971426",[267],{"name":268,"orcid":8},"Joydeep Dey","智慧农业 \u002F 农业物联网","2026-10-20T23:30:08.600540Z",{"id":272,"title":273,"url":274,"summary":275,"summary_zh":276,"content":8,"source_name":277,"source_url":274,"published_at":191,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":139,"score_detail":278,"sources":281,"tags":283,"primary_topic":286,"secondary_topics":287,"classification":288,"search_phrases":301,"slug":304,"view_count":74,"doi":305,"paper":306,"created_at":317},5316,"PLANT-GPK v2.7: Spatial Heterogeneity and Predictive Digital Twin for Plant Phenotyping","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23460273","Traditional image-based plant phenotyping assumes spatial homogeneity, estimating a single set of physiological parameters for the entire plant. This paper introduces a novel extension to the PLANT-GPK framework: Spatial Physiological Heatmaps and Predictive Digital Twins. By dividing the plant image into a 3x3 grid and solving the inverse ODE problem for each spatial patch, we reveal the hidden spatial heterogeneity of resource allocation. Furthermore, the recovered parameters are extrapolated to predict the exact day of harvest using a continuous smooth-physics model, providing a powerful prescriptive tool for precision agriculture.","传统的基于图像的植物表型分析假设空间同质性，即对整个植株估计单一组生理参数。本文提出了对PLANT-GPK框架的一种新颖扩展：空间生理热图与预测性数字孪生。通过将植物图像划分为3×3网格并针对每个空间区块求解逆常微分方程（ODE）问题，我们揭示了资源分配中隐藏的空间异质性。此外，利用连续光滑物理模型对所恢复的参数进行外推，以预测确切的收获日期，为精准农业提供了强有力的规范性工具。","Zenodo (CERN European Organization for Nuclear Research)",{"impact":17,"substance":279,"depth":17,"authority":16,"freshness":90,"relevant":21,"comment":280},22,"该论文提出植物表型空间异质性建模与预测性数字孪生方法，方法新颖、结论有实用价值，但属细分领域预印本成果，未达重大突破层级。",[282],{"name":277,"url":274},[27,146,284,28,285],"数字孪生","植物表型",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":289},{"candidates":290,"agricultural_evidence":46},[291,297],{"code":32,"score":292,"supported":46,"title":293,"abstract":295,"tags":296},20,[294],"digital twin",[28,284,49],[284,27,28],{"code":160,"score":21,"supported":13,"title":298,"abstract":299,"tags":300},[],[],[146],[302,303],"PLANT-GPK 植物表型","空间生理热图 数字孪生","PLANT-GPK植物表型-5316","10.5281\u002Fzenodo.23460273",{"doi":305,"openalex_id":307,"authors":308,"venue":277,"cited_by_count":74,"oa_url":274,"card":311,"direction":315,"ingested_from":76},"W7222885652",[309],{"name":310,"orcid":8},"MOHAMMED TAHAR SAIM",{"tldr":312,"method":313,"finding":314,"direction":315,"opportunity":316},"将植物图像分3x3网格反演ODE参数，构建空间生理热图与预测数字孪生。","基于PLANT-GPK框架，分块求解逆ODE问题，并用连续平滑物理模型外推。","揭示了植物资源分配的空间异质性，可预测精确收获日。","农业遥感与作物表型","可探索更细粒度网格与多模态表型融合，提升数字孪生预测精度与田间适用性。","2026-10-19T23:30:19.414490Z",{"id":319,"title":320,"url":321,"summary":322,"summary_zh":8,"content":8,"source_name":323,"source_url":321,"published_at":324,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":325,"score_detail":326,"sources":329,"tags":331,"primary_topic":333,"secondary_topics":334,"classification":335,"search_phrases":351,"slug":354,"view_count":60,"doi":355,"paper":356,"created_at":370},5082,"Entomopathogenic nematode recent applications in precision agriculture: Methods, challenges, and future perspectives","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jip.2026.108765","Entomopathogenic nematode recent applications in precision agriculture: Methods, challenges, and future perspectives。Journal of Invertebrate Pathology","Journal of Invertebrate Pathology","2026-10-14T00:00:00Z",67,{"impact":16,"substance":18,"depth":327,"authority":19,"freshness":20,"relevant":21,"comment":328},17,"核心期刊综述，聚焦昆虫病原线虫在精准农业中的应用方法与挑战，专业性强但属细分领域，产业影响有限。",[330],{"name":323,"url":321},[27,146,28,332],"生物防治",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":336},{"candidates":337,"agricultural_evidence":46},[338,342,347],{"code":32,"score":250,"supported":46,"title":339,"abstract":340,"tags":341},[49],[49],[27,28],{"code":343,"score":21,"supported":13,"title":344,"abstract":345,"tags":346},"F4",[],[],[332],{"code":160,"score":21,"supported":13,"title":348,"abstract":349,"tags":350},[],[],[146],[352,353],"昆虫病原线虫 精准农业","Journal of Invertebrate Pathology 线虫","昆虫病原线虫精准农业-5082","10.1016\u002Fj.jip.2026.108765",{"doi":355,"openalex_id":357,"authors":358,"venue":323,"cited_by_count":74,"oa_url":8,"card":8,"direction":269,"ingested_from":76},"W7221746877",[359,362,365,367],{"name":360,"orcid":361},"Alperen Kaan Bütüner","https:\u002F\u002Forcid.org\u002F0000-0002-2121-3529",{"name":363,"orcid":364},"Hilal Erdoğan","https:\u002F\u002Forcid.org\u002F0000-0002-0387-2600",{"name":366,"orcid":8},"İsmail Alper Susurluk",{"name":368,"orcid":369},"Edwin E. Lewis","https:\u002F\u002Forcid.org\u002F0000-0002-8825-1562","2026-10-16T23:30:09.556034Z"]