[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3801":3,"related-3801":78},{"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":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},3801,"Digital Agriculture and Forestry for the Circular Bioeconomy: Progress and Challenges","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu18199912","As living standards improve and environmental awareness deepens, consumers are increasingly favoring green and organic food, and the agricultural sector has been pressed to reconcile two goals that once appeared to be in tension: raising productivity and protecting the environment [...]","随着生活水平的提高和环境意识的增强，消费者越来越青睐绿色和有机食品，农业部门被迫在曾经看似矛盾的两个目标之间寻求平衡：提高生产力和保护环境。",null,"Sustainability","2026-09-28T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,20,13,8,1,"发表于核心期刊 Sustainability 的综述性论文，系统梳理数字农林业支撑循环生物经济的进展与挑战，兼具方法视角与政策启示，对智慧农业与绿色转型主题有较高参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字农业","智慧林业","农业可持续发展","循环生物经济","绿色食品",{"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":14,"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":49,"tags":50},9,true,[48],"digital agriculture",[],[26],{"code":52,"score":21,"supported":14,"title":53,"abstract":54,"tags":55},"H8",[],[],[28],[57,58],"农业可持续发展 循环生物经济 数字农业 智慧林业","农业可持续发展 循环生物经济","农业可持续发展循环生物经济数字农业智慧林业-3801",3,"10.3390\u002Fsu18199912",{"doi":61,"openalex_id":63,"authors":64,"venue":10,"cited_by_count":68,"oa_url":6,"card":69,"direction":75,"ingested_from":76},"W7214635255",[65],{"name":66,"orcid":67},"Jianbo Shen","https:\u002F\u002Forcid.org\u002F0000-0001-8495-5725",0,{"tldr":70,"method":71,"finding":72,"direction":73,"opportunity":74},"综述数字农林业支撑循环生物经济的进展与挑战。","文献综述，聚焦数字农林业与循环生物经济结合。","数字农林业可兼顾生产力提升与环境保护，但落地仍存挑战。","农业绿色发展与碳","可研究数字技术如何量化并优化农业循环生物经济的环境与经济效益。","数字乡村与农业信息化","openalex","2026-09-29T23:30:41.020850Z",{"total":79,"page":21,"page_size":79,"items":80},6,[81,132,188,233,288,338],{"id":82,"title":83,"url":84,"summary":85,"summary_zh":9,"content":9,"source_name":86,"source_url":84,"published_at":87,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":88,"score_detail":89,"sources":91,"tags":93,"primary_topic":97,"secondary_topics":98,"classification":99,"search_phrases":111,"slug":114,"view_count":68,"doi":115,"paper":116,"created_at":131},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":20,"substance":79,"depth":20,"authority":79,"freshness":13,"relevant":21,"comment":90},"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。",[92],{"name":86,"url":84},[26,94,95,96],"农业信息化","遥感","地图评估",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":100},{"candidates":101,"agricultural_evidence":46},[102,106],{"code":32,"score":19,"supported":46,"title":103,"abstract":104,"tags":105},[48],[48],[94,26],{"code":107,"score":21,"supported":14,"title":108,"abstract":109,"tags":110},"I3",[],[],[95],[112,113],"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":115,"openalex_id":117,"authors":118,"venue":86,"cited_by_count":68,"oa_url":84,"card":9,"direction":75,"ingested_from":76},"W7223099987",[119,122,125,128],{"name":120,"orcid":121},"Phillip Lanza","https:\u002F\u002Forcid.org\u002F0000-0002-5545-1744",{"name":123,"orcid":124},"David G. Rossiter","https:\u002F\u002Forcid.org\u002F0000-0003-4558-1286",{"name":126,"orcid":127},"Diana Stuart Sinton","https:\u002F\u002Forcid.org\u002F0000-0001-5828-9001",{"name":129,"orcid":130},"Louis Longchamps","https:\u002F\u002Forcid.org\u002F0000-0002-4761-6094","2026-10-22T11:20:47.463814Z",{"id":133,"title":134,"url":135,"summary":136,"summary_zh":137,"content":9,"source_name":138,"source_url":135,"published_at":87,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":139,"score_detail":140,"sources":144,"tags":146,"primary_topic":151,"secondary_topics":152,"classification":153,"search_phrases":170,"slug":173,"view_count":68,"doi":174,"paper":175,"created_at":187},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":17,"substance":141,"depth":17,"authority":142,"freshness":45,"relevant":21,"comment":143},22,14,"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。",[145],{"name":138,"url":135},[26,147,148,149,150],"新质生产力","空间溢出","区域协调","农业数字化转型",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":154},{"candidates":155,"agricultural_evidence":46},[156,160,165],{"code":32,"score":13,"supported":46,"title":157,"abstract":158,"tags":159},[48],[],[150,26],{"code":161,"score":21,"supported":14,"title":162,"abstract":163,"tags":164},"I4",[],[],[148],{"code":166,"score":21,"supported":14,"title":167,"abstract":168,"tags":169},"J2",[],[],[147],[171,172],"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":174,"openalex_id":176,"authors":177,"venue":138,"cited_by_count":68,"oa_url":135,"card":182,"direction":75,"ingested_from":76},"W7221723385",[178,180],{"name":179,"orcid":9},"Qingqing Huang",{"name":181,"orcid":9},"Wenjing Guo",{"tldr":183,"method":184,"finding":185,"direction":75,"opportunity":186},"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":189,"title":190,"url":191,"summary":192,"summary_zh":9,"content":9,"source_name":193,"source_url":191,"published_at":194,"category":12,"cover_url":9,"hotness":195,"is_selected":14,"score":196,"score_detail":197,"sources":199,"tags":203,"primary_topic":206,"secondary_topics":207,"classification":208,"search_phrases":215,"slug":218,"view_count":68,"doi":219,"paper":220,"created_at":232},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":79,"depth":20,"authority":79,"freshness":45,"relevant":21,"comment":198},"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。",[200,201],{"name":193,"url":191},{"name":193,"url":202},"https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.16146.41922",[26,204,94,205],"智慧农业","中非",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":209},{"candidates":210,"agricultural_evidence":46},[211],{"code":32,"score":142,"supported":46,"title":212,"abstract":213,"tags":214},[48],[48],[94,26,204],[216,217],"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":219,"openalex_id":221,"authors":222,"venue":9,"cited_by_count":68,"oa_url":191,"card":9,"direction":75,"ingested_from":76},"W7222930115",[223,225,227,230],{"name":224,"orcid":9},"Anani Ogou",{"name":226,"orcid":9},"Henry Chotangui",{"name":228,"orcid":229},"Honoré Beyegue-Djonko","https:\u002F\u002Forcid.org\u002F0009-0004-6447-5889",{"name":231,"orcid":9},"Christopher Mubeteneh Tankou","2026-10-20T23:30:22.542913Z",{"id":234,"title":235,"url":236,"summary":237,"summary_zh":238,"content":9,"source_name":239,"source_url":236,"published_at":194,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":240,"score_detail":241,"sources":245,"tags":247,"primary_topic":252,"secondary_topics":253,"classification":254,"search_phrases":266,"slug":269,"view_count":68,"doi":270,"paper":271,"created_at":287},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",78,{"impact":17,"substance":242,"depth":243,"authority":19,"freshness":45,"relevant":21,"comment":244},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。",[246],{"name":239,"url":236},[26,248,249,250,251],"技术采纳","农业技术扩散","复杂网络","政府补贴",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":255},{"candidates":256,"agricultural_evidence":46},[257,261],{"code":32,"score":45,"supported":46,"title":258,"abstract":259,"tags":260},[48],[],[26],{"code":262,"score":21,"supported":14,"title":263,"abstract":264,"tags":265},"G1",[],[],[248],[267,268],"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":270,"openalex_id":272,"authors":273,"venue":239,"cited_by_count":68,"oa_url":280,"card":281,"direction":286,"ingested_from":76},"W7222935377",[274,276,278],{"name":275,"orcid":9},"Xinrui Gao",{"name":277,"orcid":9},"Yangyang Zheng",{"name":279,"orcid":9},"Rumiao Li","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1894648\u002Fpdf",{"tldr":282,"method":283,"finding":284,"direction":75,"opportunity":285},"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":289,"title":290,"url":291,"summary":292,"summary_zh":9,"content":9,"source_name":293,"source_url":9,"published_at":294,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":240,"score_detail":295,"sources":297,"tags":299,"primary_topic":303,"secondary_topics":304,"classification":305,"search_phrases":325,"slug":328,"view_count":68,"doi":9,"paper":329,"created_at":337},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。","统计与决策(2026,11)","2026-10-15T00:00:00Z",{"impact":17,"substance":141,"depth":17,"authority":142,"freshness":79,"relevant":21,"comment":296},"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。",[298],{"name":293,"url":291},[26,94,300,301,302],"粮食安全","耦合协调","绿色生产",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":306},{"candidates":307,"agricultural_evidence":46},[308,312,317,321],{"code":32,"score":19,"supported":46,"title":309,"abstract":310,"tags":311},[26],[26],[94,26],{"code":313,"score":21,"supported":14,"title":314,"abstract":315,"tags":316},"A8",[],[],[300],{"code":52,"score":21,"supported":14,"title":318,"abstract":319,"tags":320},[],[],[302],{"code":161,"score":21,"supported":14,"title":322,"abstract":323,"tags":324},[],[],[301],[326,327],"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",{"doi":9,"openalex_id":9,"authors":330,"venue":9,"cited_by_count":68,"oa_url":9,"card":331,"direction":73,"ingested_from":336},[],{"tldr":332,"method":333,"finding":334,"direction":73,"opportunity":335},"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。","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",{"id":339,"title":340,"url":341,"summary":342,"summary_zh":343,"content":9,"source_name":344,"source_url":341,"published_at":294,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":345,"score_detail":346,"sources":350,"tags":352,"primary_topic":357,"secondary_topics":358,"classification":359,"search_phrases":372,"slug":375,"view_count":21,"doi":376,"paper":377,"created_at":394},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":20,"substance":17,"depth":347,"authority":348,"freshness":45,"relevant":21,"comment":349},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。",[351],{"name":344,"url":341},[26,353,354,355,356],"精准农业","农业投资","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":14,"version":40,"method":41,"evidence":360},{"candidates":361,"agricultural_evidence":46},[362,367],{"code":32,"score":20,"supported":46,"title":363,"abstract":364,"tags":366},[],[353,365],"precision agriculture",[26,353],{"code":368,"score":21,"supported":14,"title":369,"abstract":370,"tags":371},"G3",[],[],[354],[373,374],"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":376,"openalex_id":378,"authors":379,"venue":344,"cited_by_count":68,"oa_url":341,"card":389,"direction":75,"ingested_from":76},"W7221969015",[380,383,386],{"name":381,"orcid":382},"Olena Bukhalo","https:\u002F\u002Forcid.org\u002F0000-0001-7776-6715",{"name":384,"orcid":385},"Андрій Петрович Дорошенко","https:\u002F\u002Forcid.org\u002F0000-0002-6314-1586",{"name":387,"orcid":388},"Yuri Nesterenko","https:\u002F\u002Forcid.org\u002F0009-0000-5831-4465",{"tldr":390,"method":391,"finding":392,"direction":75,"opportunity":393},"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"]