[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5103":3,"related-5103":82},{"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":56,"slug":59,"view_count":22,"doi":60,"paper":61,"created_at":81},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。",null,"Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies","2026-10-15T00:00:00Z","论文",10,false,63,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,16,12,9,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"数字农业","精准农业","农业投资","乌克兰农业","农业资源利用",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","I",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":46},[45,51],{"code":33,"score":17,"supported":46,"title":47,"abstract":48,"tags":50},true,[],[28,49],"precision agriculture",[27,28],{"code":52,"score":22,"supported":14,"title":53,"abstract":54,"tags":55},"G3",[],[],[29],[57,58],"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":60,"openalex_id":62,"authors":63,"venue":10,"cited_by_count":73,"oa_url":6,"card":74,"direction":78,"ingested_from":80},"W7221969015",[64,67,70],{"name":65,"orcid":66},"Olena Bukhalo","https:\u002F\u002Forcid.org\u002F0000-0001-7776-6715",{"name":68,"orcid":69},"Андрій Петрович Дорошенко","https:\u002F\u002Forcid.org\u002F0000-0002-6314-1586",{"name":71,"orcid":72},"Yuri Nesterenko","https:\u002F\u002Forcid.org\u002F0009-0000-5831-4465",0,{"tldr":75,"method":76,"finding":77,"direction":78,"opportunity":79},"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。","数字乡村与农业信息化","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。","openalex","2026-10-16T23:30:33.662938Z",{"total":83,"page":22,"page_size":83,"items":84},6,[85,133,186,241,293,337],{"id":86,"title":87,"url":88,"summary":89,"summary_zh":9,"content":9,"source_name":90,"source_url":88,"published_at":91,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":92,"score_detail":93,"sources":96,"tags":98,"primary_topic":101,"secondary_topics":102,"classification":103,"search_phrases":114,"slug":117,"view_count":118,"doi":119,"paper":120,"created_at":132},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","Precision Agriculture","2026-09-25T00:00:00Z",68,{"impact":20,"substance":18,"depth":19,"authority":94,"freshness":17,"relevant":22,"comment":95},14,"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。",[97],{"name":90,"url":88},[27,99,28,29,100],"智慧农业","法国农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":104},{"candidates":105,"agricultural_evidence":46},[106,110],{"code":33,"score":83,"supported":46,"title":107,"abstract":108,"tags":109},[],[49],[27,99,28],{"code":52,"score":22,"supported":14,"title":111,"abstract":112,"tags":113},[],[],[29],[115,116],"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":119,"openalex_id":121,"authors":122,"venue":90,"cited_by_count":73,"oa_url":9,"card":9,"direction":78,"ingested_from":80},"W7214319682",[123,126,129],{"name":124,"orcid":125},"Maha Ben Jaballah","https:\u002F\u002Forcid.org\u002F0000-0002-4489-278X",{"name":127,"orcid":128},"Aude Ridier","https:\u002F\u002Forcid.org\u002F0000-0002-7893-735X",{"name":130,"orcid":131},"Karine Daniel","https:\u002F\u002Forcid.org\u002F0000-0001-9550-5666","2026-09-26T23:30:02.695117Z",{"id":134,"title":135,"url":136,"summary":137,"summary_zh":9,"content":9,"source_name":138,"source_url":136,"published_at":139,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":140,"score_detail":141,"sources":143,"tags":145,"primary_topic":149,"secondary_topics":150,"classification":151,"search_phrases":165,"slug":168,"view_count":73,"doi":169,"paper":170,"created_at":185},5579,"A Composite Field-Evaluation Framework for Digital Agriculture Maps","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-11283264\u002Fv1","A Composite Field-Evaluation Framework for Digital Agriculture Maps。Research Square","Research Square","2026-10-21T00:00:00Z",38,{"impact":17,"substance":83,"depth":17,"authority":83,"freshness":13,"relevant":22,"comment":142},"预印本提出数字农业地图的田间复合评估框架，方法有一定新意，但摘要信息极少、未经同行评审，公共影响有限，暂不宜进入每日精选。",[144],{"name":138,"url":136},[27,146,147,148],"农业信息化","遥感","地图评估",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":152},{"candidates":153,"agricultural_evidence":46},[154,160],{"code":33,"score":155,"supported":46,"title":156,"abstract":158,"tags":159},13,[157],"digital agriculture",[157],[146,27],{"code":161,"score":22,"supported":14,"title":162,"abstract":163,"tags":164},"I3",[],[],[147],[166,167],"Research Square 数字农业","农业信息化 地图评估 数字农业 遥感","ResearchSquare数字农业-5579","10.21203\u002Frs.3.rs-11283264\u002Fv1",{"doi":169,"openalex_id":171,"authors":172,"venue":138,"cited_by_count":73,"oa_url":136,"card":9,"direction":78,"ingested_from":80},"W7223099987",[173,176,179,182],{"name":174,"orcid":175},"Phillip Lanza","https:\u002F\u002Forcid.org\u002F0000-0002-5545-1744",{"name":177,"orcid":178},"David G. Rossiter","https:\u002F\u002Forcid.org\u002F0000-0003-4558-1286",{"name":180,"orcid":181},"Diana Stuart Sinton","https:\u002F\u002Forcid.org\u002F0000-0001-5828-9001",{"name":183,"orcid":184},"Louis Longchamps","https:\u002F\u002Forcid.org\u002F0000-0002-4761-6094","2026-10-22T11:20:47.463814Z",{"id":187,"title":188,"url":189,"summary":190,"summary_zh":191,"content":9,"source_name":192,"source_url":189,"published_at":139,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":193,"score_detail":194,"sources":197,"tags":199,"primary_topic":204,"secondary_topics":205,"classification":206,"search_phrases":223,"slug":226,"view_count":73,"doi":227,"paper":228,"created_at":240},5578,"Unlocking digital agriculture through new quality productive forces: nonlinear thresholds and spatial spillovers in China","https:\u002F\u002Fdoi.org\u002F10.1057\u002Fs41599-026-09510-z","New quality productive forces (NQPF) critically enable agricultural digitisation. Using China as a case study, this paper employs panel data from 284 prefecture-level cities in China from 2011 to 2022. The results show that NQPF has a significant promoting effect on agricultural digital transformation and exhibits positive spatial spillover effects, driving not only local transformation but also the development of surrounding regions. Labour skills and innovation capacity play mediating roles in this process. Notably, the enabling effect of NQPF on agricultural digitisation displays significant regional heterogeneity. Threshold analysis indicates that its promoting effect follows a non-linear pattern, characterised by a double threshold effect. Therefore, the development of NQPF should be accelerated, with emphasis placed on regional coordination and talent cultivation, to promote the sustained and in-depth advancement of agricultural digital transformation in accordance with local conditions.","新质生产力（New Quality Productive Forces, NQPF）对农业数字化具有关键赋能作用。本文以中国为案例，采用2011—2022年中国284个地级市的面板数据。结果表明，新质生产力对农业数字化转型具有显著促进作用，并呈现正向空间溢出效应，不仅推动本地转型，也带动周边地区发展。劳动技能与创新能力在这一过程中发挥中介作用。值得注意的是，新质生产力对农业数字化的赋能效应表现出显著的区域异质性。门槛分析表明，其促进作用呈非线性特征，表现为双重门槛效应。因此，应加快新质生产力发展，注重区域协调与人才培养，因地制宜推动农业数字化转型持续深入推进。","Humanities and Social Sciences Communications",81,{"impact":18,"substance":195,"depth":18,"authority":94,"freshness":21,"relevant":22,"comment":196},22,"基于284个地级市面板数据的实证研究，揭示新质生产力对农业数字化的非线性门槛与空间溢出效应，方法规范、结论有政策参考价值，值得进入每日精选。",[198],{"name":192,"url":189},[27,200,201,202,203],"新质生产力","空间溢出","区域协调","农业数字化转型",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":207},{"candidates":208,"agricultural_evidence":46},[209,213,218],{"code":33,"score":13,"supported":46,"title":210,"abstract":211,"tags":212},[157],[],[203,27],{"code":214,"score":22,"supported":14,"title":215,"abstract":216,"tags":217},"I4",[],[],[201],{"code":219,"score":22,"supported":14,"title":220,"abstract":221,"tags":222},"J2",[],[],[200],[224,225],"新质生产力 农业数字化","地级市 面板数据","新质生产力农业数字化-5578","10.1057\u002Fs41599-026-09510-z",{"doi":227,"openalex_id":229,"authors":230,"venue":192,"cited_by_count":73,"oa_url":189,"card":235,"direction":78,"ingested_from":80},"W7221723385",[231,233],{"name":232,"orcid":9},"Qingqing Huang",{"name":234,"orcid":9},"Wenjing Guo",{"tldr":236,"method":237,"finding":238,"direction":78,"opportunity":239},"基于中国284个地级市面板数据，检验新质生产力对农业数字化的促进、空间溢出与门槛效应。","2011—2022年284个地级市面板数据，空间计量与门槛回归，中介效应检验。","新质生产力显著促进农业数字化并具正向空间溢出，存在双门槛非线性效应与区域异质性。","可深入探究新质生产力影响农业数字化的微观机制，以及不同区域门槛条件下的差异化政策路径。","2026-10-22T11:20:47.354744Z",{"id":242,"title":243,"url":244,"summary":245,"summary_zh":9,"content":9,"source_name":90,"source_url":244,"published_at":246,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":247,"score_detail":248,"sources":251,"tags":253,"primary_topic":257,"secondary_topics":258,"classification":259,"search_phrases":272,"slug":275,"view_count":73,"doi":276,"paper":277,"created_at":292},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":19,"substance":249,"depth":18,"authority":94,"freshness":13,"relevant":22,"comment":250},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。",[252],{"name":90,"url":244},[99,254,28,255,256],"农业人工智能","机器视觉","作物行检测",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":260},{"candidates":261,"agricultural_evidence":46},[262,267],{"code":33,"score":263,"supported":46,"title":264,"abstract":265,"tags":266},5,[],[49],[99,28],{"code":268,"score":118,"supported":14,"title":269,"abstract":270,"tags":271},"I2",[],[],[254,255],[273,274],"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":276,"openalex_id":278,"authors":279,"venue":90,"cited_by_count":73,"oa_url":9,"card":9,"direction":9,"ingested_from":80},"W7223117828",[280,283,286,289],{"name":281,"orcid":282},"Esther Gascó","https:\u002F\u002Forcid.org\u002F0000-0003-1798-4483",{"name":284,"orcid":285},"Clara I. López-González","https:\u002F\u002Forcid.org\u002F0000-0002-2755-1692",{"name":287,"orcid":288},"Eva Besada-Portas","https:\u002F\u002Forcid.org\u002F0000-0001-6129-4653",{"name":290,"orcid":291},"Gonzalo Pájares","https:\u002F\u002Forcid.org\u002F0000-0003-0915-6282","2026-10-22T11:20:09.678587Z",{"id":294,"title":295,"url":296,"summary":297,"summary_zh":9,"content":9,"source_name":298,"source_url":296,"published_at":299,"category":12,"cover_url":9,"hotness":300,"is_selected":14,"score":301,"score_detail":302,"sources":304,"tags":308,"primary_topic":310,"secondary_topics":311,"classification":312,"search_phrases":319,"slug":322,"view_count":73,"doi":323,"paper":324,"created_at":336},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":17,"substance":83,"depth":17,"authority":83,"freshness":21,"relevant":22,"comment":303},"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。",[305,306],{"name":298,"url":296},{"name":298,"url":307},"https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.16146.41922",[27,99,146,309],"中非",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":313},{"candidates":314,"agricultural_evidence":46},[315],{"code":33,"score":94,"supported":46,"title":316,"abstract":317,"tags":318},[157],[157],[146,27,99],[320,321],"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":323,"openalex_id":325,"authors":326,"venue":9,"cited_by_count":73,"oa_url":296,"card":9,"direction":78,"ingested_from":80},"W7222930115",[327,329,331,334],{"name":328,"orcid":9},"Anani Ogou",{"name":330,"orcid":9},"Henry Chotangui",{"name":332,"orcid":333},"Honoré Beyegue-Djonko","https:\u002F\u002Forcid.org\u002F0009-0004-6447-5889",{"name":335,"orcid":9},"Christopher Mubeteneh Tankou","2026-10-20T23:30:22.542913Z",{"id":338,"title":339,"url":340,"summary":341,"summary_zh":9,"content":9,"source_name":298,"source_url":340,"published_at":299,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":342,"score_detail":343,"sources":345,"tags":347,"primary_topic":350,"secondary_topics":351,"classification":352,"search_phrases":364,"slug":367,"view_count":73,"doi":368,"paper":369,"created_at":375},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":18,"substance":17,"depth":13,"authority":20,"freshness":17,"relevant":22,"comment":344},"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。",[346],{"name":298,"url":340},[99,348,28,349],"农业机器人","智能采收",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":353},{"candidates":354,"agricultural_evidence":46},[355,359],{"code":33,"score":155,"supported":46,"title":356,"abstract":357,"tags":358},[49],[49],[99,28],{"code":360,"score":22,"supported":14,"title":361,"abstract":362,"tags":363},"F6",[],[],[348],[365,366],"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":368,"openalex_id":370,"authors":371,"venue":9,"cited_by_count":73,"oa_url":340,"card":9,"direction":374,"ingested_from":80},"W7222971426",[372],{"name":373,"orcid":9},"Joydeep Dey","智慧农业 \u002F 农业物联网","2026-10-20T23:30:08.600540Z"]