[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5299":3,"related-5299":79},{"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":30,"secondary_topics":36,"classification":37,"search_phrases":64,"slug":67,"view_count":68,"doi":8,"paper":69,"created_at":78},5299,"刘宝涛等《统计与决策》:数字农业与粮食绿色生产效率的耦合协调特征及障碍机制","https:\u002F\u002Fguoyanwang.clcn.net.cn\u002FDRCNet.Mirror.Documents.Web\u002FDocSummary.aspx?DocID=8315929&leafID=18927","吉林农业大学经济管理学院刘宝涛副教授等基于2011—2023年中国31个省份面板数据,运用熵权TOPSIS法、超效率SBM模型测算数字农业发展水平和粮食绿色生产效率;研究期内数字农业发展水平呈\"小幅波动、平稳上升\"时序演化趋势,空间格局呈东南高、西北低、中部均衡;耦合协调度表现为波动上升趋势、由失调衰退向协调发展;粮食产量、科学研究和技术服务业固定资产投资额是主要障碍因子。",null,"统计与决策(2026,11)","2026-10-15T00:00:00Z","论文",10,false,78,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,14,6,1,"基于31省11年面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文，公共影响有限，可入精选但非头条。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字农业","农业信息化","粮食安全","耦合协调","绿色生产",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","I",[],{"status":38,"locked":13,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":45},[43,49,54,59],{"code":31,"score":44,"supported":45,"title":46,"abstract":47,"tags":48},13,true,[25],[25],[26,25],{"code":50,"score":20,"supported":13,"title":51,"abstract":52,"tags":53},"A8",[],[],[27],{"code":55,"score":20,"supported":13,"title":56,"abstract":57,"tags":58},"H8",[],[],[29],{"code":60,"score":20,"supported":13,"title":61,"abstract":62,"tags":63},"I4",[],[],[28],[65,66],"刘宝涛 数字农业 粮食绿色生产效率","吉林农业大学 数字农业 耦合协调","刘宝涛数字农业粮食绿色生产效率-5299",0,{"doi":8,"openalex_id":8,"authors":70,"venue":8,"cited_by_count":68,"oa_url":8,"card":71,"direction":75,"ingested_from":77},[],{"tldr":72,"method":73,"finding":74,"direction":75,"opportunity":76},"测度2011—2023年中国31省数字农业与粮食绿色生产效率的耦合协调及障碍因子。","熵权TOPSIS法、超效率SBM模型，31省面板数据。","耦合协调度波动上升、由失调转向协调；粮食产量与科研投资是主要障碍因子。","农业绿色发展与碳","可深入探究障碍因子的省际异质性与动态传导机制，并检验数字农业对绿色效率的门槛或空间溢出效应。","agent","2026-10-19T00:07:48.451681Z",{"total":19,"page":20,"page_size":19,"items":80},[81,135,181,227,280,334],{"id":82,"title":83,"url":84,"summary":85,"summary_zh":8,"content":8,"source_name":86,"source_url":84,"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":112,"slug":115,"view_count":68,"doi":116,"paper":117,"created_at":134},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":90,"substance":19,"depth":90,"authority":19,"freshness":12,"relevant":20,"comment":91},8,"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。",[93],{"name":86,"url":84},[25,26,95,96],"遥感","地图评估",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":100},{"candidates":101,"agricultural_evidence":45},[102,107],{"code":31,"score":44,"supported":45,"title":103,"abstract":105,"tags":106},[104],"digital agriculture",[104],[26,25],{"code":108,"score":20,"supported":13,"title":109,"abstract":110,"tags":111},"I3",[],[],[95],[113,114],"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":116,"openalex_id":118,"authors":119,"venue":86,"cited_by_count":68,"oa_url":84,"card":8,"direction":132,"ingested_from":133},"W7223099987",[120,123,126,129],{"name":121,"orcid":122},"Phillip Lanza","https:\u002F\u002Forcid.org\u002F0000-0002-5545-1744",{"name":124,"orcid":125},"David G. Rossiter","https:\u002F\u002Forcid.org\u002F0000-0003-4558-1286",{"name":127,"orcid":128},"Diana Stuart Sinton","https:\u002F\u002Forcid.org\u002F0000-0001-5828-9001",{"name":130,"orcid":131},"Louis Longchamps","https:\u002F\u002Forcid.org\u002F0000-0002-4761-6094","数字乡村与农业信息化","openalex","2026-10-22T11:20:47.463814Z",{"id":136,"title":137,"url":138,"summary":139,"summary_zh":8,"content":8,"source_name":140,"source_url":138,"published_at":141,"category":11,"cover_url":8,"hotness":142,"is_selected":13,"score":143,"score_detail":144,"sources":147,"tags":151,"primary_topic":154,"secondary_topics":155,"classification":156,"search_phrases":163,"slug":166,"view_count":68,"doi":167,"paper":168,"created_at":180},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":90,"substance":19,"depth":90,"authority":19,"freshness":145,"relevant":20,"comment":146},9,"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。",[148,149],{"name":140,"url":138},{"name":140,"url":150},"https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.16146.41922",[25,152,26,153],"智慧农业","中非",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":157},{"candidates":158,"agricultural_evidence":45},[159],{"code":31,"score":18,"supported":45,"title":160,"abstract":161,"tags":162},[104],[104],[26,25,152],[164,165],"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":167,"openalex_id":169,"authors":170,"venue":8,"cited_by_count":68,"oa_url":138,"card":8,"direction":132,"ingested_from":133},"W7222930115",[171,173,175,178],{"name":172,"orcid":8},"Anani Ogou",{"name":174,"orcid":8},"Henry Chotangui",{"name":176,"orcid":177},"Honoré Beyegue-Djonko","https:\u002F\u002Forcid.org\u002F0009-0004-6447-5889",{"name":179,"orcid":8},"Christopher Mubeteneh Tankou","2026-10-20T23:30:22.542913Z",{"id":182,"title":183,"url":184,"summary":185,"summary_zh":186,"content":8,"source_name":187,"source_url":184,"published_at":188,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":189,"score_detail":190,"sources":192,"tags":194,"primary_topic":198,"secondary_topics":199,"classification":200,"search_phrases":209,"slug":212,"view_count":213,"doi":214,"paper":215,"created_at":226},3910,"РОЗВИТОК ПРОФЕСІЙНО-ТЕРМІНОЛОГІЧНОЇ КОМПЕТЕНТНОСТІ ВИКЛАДАЧІВ ТЕХНІЧНИХ ДИСЦИПЛІН АГРАРНОГО КОЛЕДЖУ","https:\u002F\u002Fdoi.org\u002F10.31110\u002F2616-650x-vol14i7-016","The article addresses the issue of developing the professional terminological competence of teachers of technical disciplines at agricultural colleges in the context of the modernization of professional pre-higher education, the digital transformation of agricultural production, and the continuous renewal of sector-specific terminology. The relevance of developing professional terminological competence is substantiated as an essential component of teachers’ professional competence, ensuring the accurate use of specialized terminology in teaching, methodological, research, and professional activities, as well as effective work with regulatory and technical documentation, standardized terminology, digital resources, and international agricultural information systems. The purpose of the study is to substantiate the theoretical foundations for developing the professional terminological competence of teachers of technical disciplines at agricultural colleges and to systematize contemporary pedagogical technologies, instructional methods, and digital tools that facilitate its effective development within the system of continuous professional development. The research employs a set of general scientific methods, including analysis, synthesis, comparison, generalization, and systematization of scientific publications, Ukrainian regulatory documents, and contemporary international studies on professional terminology, terminology management, and technical communication. The concept of the professional terminological competence of teachers of technical disciplines at agricultural colleges is refined and interpreted as an integrative component of professional competence that encompasses the ability to use standardized sector-specific terminology accurately, work with regulatory and technical documentation, adapt complex agricultural engineering concepts for educational purposes, critically evaluate terminological resources, and integrate emerging terminology related to digitalization, automation, and precision agriculture into the educational process. The study proposes the author's classification of pedagogical technologies, instructional methods, and digital tools for developing professional terminological competence, based on their functional purpose, and identifies pedagogical conditions for their integrated implementation within the system of continuous professional development of teachers. The scientific novelty of the research lies in refining the concept of the professional terminological competence of teachers of technical disciplines at agricultural colleges by identifying its specific professional functions related to the use of regulatory and technical documentation, standardized agricultural engineering terminology, modern digital terminological resources, and international sectoral standards. Furthermore, the study presents the author's systematization of pedagogical technologies, instructional methods, and digital tools for their development. The practical significance of the findings lies in the possibility of applying the proposed approaches to the design of professional development programs, educational and methodological support, and the organization of continuous professional development for teachers of technical disciplines at agricultural professional pre-higher education institutions.","本文探讨在职业高等教育前阶段现代化、农业生产数字化转型以及行业术语持续更新的背景下，农业院校技术学科教师专业术语能力的发展问题。专业术语能力的发展被证实为教师专业能力的重要组成部分，其必要性在于确保教师在教学、方法、科研及专业活动中准确使用专业术语，并有效处理规范性技术文件、标准化术语、数字资源及国际农业信息系统。研究目的在于论证农业院校技术学科教师专业术语能力发展的理论基础，并系统梳理当代教学技术、教学方法及数字工具，以促进其在持续专业发展体系中的有效发展。研究采用一系列一般科学方法，包括对科学出版物、乌克兰规范性文件及当代国际专业术语、术语管理与技术传播研究的分析、综合、比较、概括与系统化。本文对农业院校技术学科教师专业术语能力的概念进行了界定，将其阐释为专业能力的整合性组成部分，涵盖准确使用标准化行业术语、处理规范性技术文件、将复杂的农业工程概念转化为教学用途、批判性评估术语资源，以及将数字化、自动化和精准农业相关的新兴术语融入教学过程的能力。研究基于功能目的提出了作者对促进专业术语能力发展的教学技术、教学方法及数字工具的分类，并确定了在教师持续专业发展体系中综合实施这些技术方法的 pedagogical 条件。研究的科学新颖性在于对以下概念进行了界定：","Education Innovation Practice","2026-09-30T00:00:00Z",49,{"impact":90,"substance":18,"depth":44,"authority":19,"freshness":90,"relevant":20,"comment":191},"聚焦农业院校技术学科教师术语能力发展，属农业教育信息化细分议题，理论性较强但公共影响有限。",[193],{"name":187,"url":184},[25,26,195,196,197],"农业教育","术语能力","教师发展",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":201},{"candidates":202,"agricultural_evidence":45},[203],{"code":31,"score":90,"supported":45,"title":204,"abstract":205,"tags":208},[],[206,207],"精准农业","precision agriculture",[26,25],[210,211],"农业院校 教师 术语能力","农业信息化 术语 教学","农业院校教师术语能力-3910",2,"10.31110\u002F2616-650x-vol14i7-016",{"doi":214,"openalex_id":216,"authors":217,"venue":187,"cited_by_count":68,"oa_url":184,"card":221,"direction":132,"ingested_from":133},"W7214976113",[218],{"name":219,"orcid":220},"Ірина Мося","https:\u002F\u002Forcid.org\u002F0000-0001-7641-3352",{"tldr":222,"method":223,"finding":224,"direction":132,"opportunity":225},"研究农业学院技术学科教师专业术语能力发展，提出教学技术与数字工具分类及实施条件。","分析、综合、比较等一般科学方法，梳理乌克兰法规与国际术语管理研究。","界定该能力为整合性素养，提出教学技术分类与持续专业发展中的实施条件。","可开发面向农业教师的术语数字化学习平台，并实证检验其对精准农业术语教学的效果。","2026-10-01T23:30:39.532589Z",{"id":228,"title":229,"url":230,"summary":231,"summary_zh":232,"content":8,"source_name":233,"source_url":230,"published_at":87,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":234,"score_detail":235,"sources":237,"tags":239,"primary_topic":244,"secondary_topics":245,"classification":246,"search_phrases":262,"slug":265,"view_count":68,"doi":266,"paper":267,"created_at":279},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":16,"substance":17,"depth":16,"authority":18,"freshness":145,"relevant":20,"comment":236},"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。",[238],{"name":233,"url":230},[25,240,241,242,243],"新质生产力","空间溢出","区域协调","农业数字化转型",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":247},{"candidates":248,"agricultural_evidence":45},[249,253,257],{"code":31,"score":12,"supported":45,"title":250,"abstract":251,"tags":252},[104],[],[243,25],{"code":60,"score":20,"supported":13,"title":254,"abstract":255,"tags":256},[],[],[241],{"code":258,"score":20,"supported":13,"title":259,"abstract":260,"tags":261},"J2",[],[],[240],[263,264],"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":266,"openalex_id":268,"authors":269,"venue":233,"cited_by_count":68,"oa_url":230,"card":274,"direction":132,"ingested_from":133},"W7221723385",[270,272],{"name":271,"orcid":8},"Qingqing Huang",{"name":273,"orcid":8},"Wenjing Guo",{"tldr":275,"method":276,"finding":277,"direction":132,"opportunity":278},"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":281,"title":282,"url":283,"summary":284,"summary_zh":285,"content":8,"source_name":286,"source_url":283,"published_at":141,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":287,"sources":291,"tags":293,"primary_topic":298,"secondary_topics":299,"classification":300,"search_phrases":312,"slug":315,"view_count":68,"doi":316,"paper":317,"created_at":333},5370,"Towards digital agriculture: uncovering the drivers and barriers to the adoption of digital agricultural technologies","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1894648","Accurately identifying the driving and hindering factors of agricultural digital technology adoption is the key to overcoming the “last mile” challenge in agricultural technology diffusion. Based on the evolutionary game theory of scale-free complex networks, this paper constructs an actor network for agricultural technology adoption to analyze its multidimensional mechanisms of influence in depth. The results indicate that while government subsidies provide short-term incentives for technology diffusion, their sustainability is limited. Agricultural technology advantages serve as the core driver, transforming exogenous technology into an endogenous growth engine. Conversely, the information gap, the perception of high risk, and high costs hinder farmers’ willingness to adopt these technologies. This study expands the application boundaries of complex network theory in agricultural technology adoption, reveals the operational laws governing driving and hindering factors, and provides a valuable reference for optimizing agricultural technology adoption strategies.","准确识别农业数字技术采用的驱动与阻碍因素，是破解农业技术扩散“最后一公里”难题的关键。本文基于无标度复杂网络的演化博弈理论，构建农业技术采用的行为者网络，深入剖析其多维影响机制。结果表明，政府补贴虽能在短期内激励技术扩散，但其可持续性有限。农业技术优势是核心驱动力，可将外生技术转化为内生增长引擎。相反，信息鸿沟、高风险感知和高成本则阻碍农户的采用意愿。本研究拓展了复杂网络理论在农业技术采用中的应用边界，揭示了驱动与阻碍因素的运行规律，为优化农业技术采用策略提供了有价值的参考。","Frontiers in Sustainable Food Systems",{"impact":16,"substance":288,"depth":289,"authority":44,"freshness":145,"relevant":20,"comment":290},21,17,"该研究基于复杂网络演化博弈，揭示数字农业技术采纳的驱动与阻碍机制，方法新颖、结论有参考价值，但属理论模型研究，产业影响有限。",[292],{"name":286,"url":283},[25,294,295,296,297],"技术采纳","农业技术扩散","复杂网络","政府补贴",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":301},{"candidates":302,"agricultural_evidence":45},[303,307],{"code":31,"score":145,"supported":45,"title":304,"abstract":305,"tags":306},[104],[],[25],{"code":308,"score":20,"supported":13,"title":309,"abstract":310,"tags":311},"G1",[],[],[294],[313,314],"农业数字技术 采纳 驱动因素","复杂网络 农业技术扩散","农业数字技术采纳驱动因素-5370","10.3389\u002Ffsufs.2026.1894648",{"doi":316,"openalex_id":318,"authors":319,"venue":286,"cited_by_count":68,"oa_url":326,"card":327,"direction":332,"ingested_from":133},"W7222935377",[320,322,324],{"name":321,"orcid":8},"Xinrui Gao",{"name":323,"orcid":8},"Yangyang Zheng",{"name":325,"orcid":8},"Rumiao Li","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1894648\u002Fpdf",{"tldr":328,"method":329,"finding":330,"direction":132,"opportunity":331},"用无标度复杂网络演化博弈分析农业数字技术采纳的驱动与阻碍因素。","基于无标度复杂网络的演化博弈模型，构建技术采纳主体网络。","补贴短期有效但难持续，技术优势是核心驱动，信息差、高风险与高成本阻碍采纳。","可结合实证数据校准网络博弈参数，研究补贴退出后技术优势驱动的长效扩散机制。","智慧农业 \u002F 农业物联网","2026-10-20T23:30:06.657514Z",{"id":335,"title":336,"url":337,"summary":338,"summary_zh":339,"content":8,"source_name":340,"source_url":337,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":341,"score_detail":342,"sources":346,"tags":348,"primary_topic":352,"secondary_topics":353,"classification":354,"search_phrases":366,"slug":369,"view_count":20,"doi":370,"paper":371,"created_at":388},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",63,{"impact":90,"substance":16,"depth":343,"authority":344,"freshness":145,"relevant":20,"comment":345},16,12,"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。",[347],{"name":340,"url":337},[25,206,349,350,351],"农业投资","乌克兰农业","农业资源利用",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":355},{"candidates":356,"agricultural_evidence":45},[357,361],{"code":31,"score":90,"supported":45,"title":358,"abstract":359,"tags":360},[],[206,207],[25,206],{"code":362,"score":20,"supported":13,"title":363,"abstract":364,"tags":365},"G3",[],[],[349],[367,368],"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":370,"openalex_id":372,"authors":373,"venue":340,"cited_by_count":68,"oa_url":337,"card":383,"direction":132,"ingested_from":133},"W7221969015",[374,377,380],{"name":375,"orcid":376},"Olena Bukhalo","https:\u002F\u002Forcid.org\u002F0000-0001-7776-6715",{"name":378,"orcid":379},"Андрій Петрович Дорошенко","https:\u002F\u002Forcid.org\u002F0000-0002-6314-1586",{"name":381,"orcid":382},"Yuri Nesterenko","https:\u002F\u002Forcid.org\u002F0009-0000-5831-4465",{"tldr":384,"method":385,"finding":386,"direction":132,"opportunity":387},"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"]