[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5396":3,"related-5396":71},{"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":21,"tags":25,"primary_topic":30,"secondary_topics":36,"classification":37,"search_phrases":50,"slug":53,"view_count":54,"doi":55,"paper":56,"created_at":70},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",null,"OpenAlex","2026-10-19T00:00:00Z","论文",25,false,37,{"impact":16,"substance":17,"depth":16,"authority":17,"freshness":18,"relevant":19,"comment":20},8,6,9,1,"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。",[22,23],{"name":9,"url":6},{"name":9,"url":24},"https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.16146.41922",[26,27,28,29],"数字农业","智慧农业","农业信息化","中非",{"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],{"code":31,"score":44,"supported":45,"title":46,"abstract":48,"tags":49},14,true,[47],"digital agriculture",[47],[28,26,27],[51,52],"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",0,"10.13140\u002Frg.2.2.22601.71520",{"doi":55,"openalex_id":57,"authors":58,"venue":8,"cited_by_count":54,"oa_url":6,"card":8,"direction":68,"ingested_from":69},"W7222930115",[59,61,63,66],{"name":60,"orcid":8},"Anani Ogou",{"name":62,"orcid":8},"Henry Chotangui",{"name":64,"orcid":65},"Honoré Beyegue-Djonko","https:\u002F\u002Forcid.org\u002F0009-0004-6447-5889",{"name":67,"orcid":8},"Christopher Mubeteneh Tankou","数字乡村与农业信息化","openalex","2026-10-20T23:30:22.542913Z",{"total":17,"page":19,"page_size":17,"items":72},[73,125,181,237,283,332],{"id":74,"title":75,"url":76,"summary":77,"summary_zh":8,"content":8,"source_name":78,"source_url":76,"published_at":79,"category":11,"cover_url":8,"hotness":80,"is_selected":13,"score":81,"score_detail":82,"sources":84,"tags":86,"primary_topic":89,"secondary_topics":90,"classification":91,"search_phrases":104,"slug":107,"view_count":54,"doi":108,"paper":109,"created_at":124},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",10,38,{"impact":16,"substance":17,"depth":16,"authority":17,"freshness":80,"relevant":19,"comment":83},"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。",[85],{"name":78,"url":76},[26,28,87,88],"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":92},{"candidates":93,"agricultural_evidence":45},[94,99],{"code":31,"score":95,"supported":45,"title":96,"abstract":97,"tags":98},13,[47],[47],[28,26],{"code":100,"score":19,"supported":13,"title":101,"abstract":102,"tags":103},"I3",[],[],[87],[105,106],"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":108,"openalex_id":110,"authors":111,"venue":78,"cited_by_count":54,"oa_url":76,"card":8,"direction":68,"ingested_from":69},"W7223099987",[112,115,118,121],{"name":113,"orcid":114},"Phillip Lanza","https:\u002F\u002Forcid.org\u002F0000-0002-5545-1744",{"name":116,"orcid":117},"David G. Rossiter","https:\u002F\u002Forcid.org\u002F0000-0003-4558-1286",{"name":119,"orcid":120},"Diana Stuart Sinton","https:\u002F\u002Forcid.org\u002F0000-0001-5828-9001",{"name":122,"orcid":123},"Louis Longchamps","https:\u002F\u002Forcid.org\u002F0000-0002-4761-6094","2026-10-22T11:20:47.463814Z",{"id":126,"title":127,"url":128,"summary":129,"summary_zh":8,"content":8,"source_name":130,"source_url":8,"published_at":131,"category":11,"cover_url":8,"hotness":80,"is_selected":13,"score":132,"score_detail":133,"sources":137,"tags":139,"primary_topic":143,"secondary_topics":144,"classification":145,"search_phrases":167,"slug":170,"view_count":54,"doi":8,"paper":171,"created_at":180},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",78,{"impact":134,"substance":135,"depth":134,"authority":44,"freshness":17,"relevant":19,"comment":136},18,22,"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。",[138],{"name":130,"url":128},[26,28,140,141,142],"粮食安全","耦合协调","绿色生产",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":146},{"candidates":147,"agricultural_evidence":45},[148,152,157,162],{"code":31,"score":95,"supported":45,"title":149,"abstract":150,"tags":151},[26],[26],[28,26],{"code":153,"score":19,"supported":13,"title":154,"abstract":155,"tags":156},"A8",[],[],[140],{"code":158,"score":19,"supported":13,"title":159,"abstract":160,"tags":161},"H8",[],[],[142],{"code":163,"score":19,"supported":13,"title":164,"abstract":165,"tags":166},"I4",[],[],[141],[168,169],"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":8,"openalex_id":8,"authors":172,"venue":8,"cited_by_count":54,"oa_url":8,"card":173,"direction":177,"ingested_from":179},[],{"tldr":174,"method":175,"finding":176,"direction":177,"opportunity":178},"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",{"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":80,"is_selected":13,"score":189,"score_detail":190,"sources":193,"tags":195,"primary_topic":199,"secondary_topics":200,"classification":201,"search_phrases":218,"slug":221,"view_count":222,"doi":223,"paper":224,"created_at":236},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":16,"substance":134,"depth":191,"authority":95,"freshness":16,"relevant":19,"comment":192},17,"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。",[194],{"name":187,"url":184},[26,27,196,197,198],"可持续农业","农业数据","瑞士",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":202},{"candidates":203,"agricultural_evidence":45},[204,209,213],{"code":31,"score":205,"supported":45,"title":206,"abstract":207,"tags":208},11,[],[27,26,47],[26,27],{"code":158,"score":19,"supported":13,"title":210,"abstract":211,"tags":212},[],[],[196],{"code":214,"score":19,"supported":13,"title":215,"abstract":216,"tags":217},"I6",[],[],[197],[219,220],"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",3,"10.21248\u002Fka-notizen.88.61",{"doi":223,"openalex_id":225,"authors":226,"venue":187,"cited_by_count":54,"oa_url":184,"card":230,"direction":235,"ingested_from":69},"W7216220972",[227],{"name":228,"orcid":229},"Mylène Tanferri","https:\u002F\u002Forcid.org\u002F0000-0003-1650-8442",{"tldr":231,"method":232,"finding":233,"direction":68,"opportunity":234},"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","2026-10-03T23:30:10.168598Z",{"id":238,"title":239,"url":240,"summary":241,"summary_zh":242,"content":8,"source_name":243,"source_url":240,"published_at":244,"category":11,"cover_url":8,"hotness":80,"is_selected":13,"score":245,"score_detail":246,"sources":248,"tags":250,"primary_topic":254,"secondary_topics":255,"classification":256,"search_phrases":265,"slug":268,"view_count":269,"doi":270,"paper":271,"created_at":282},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":16,"substance":44,"depth":95,"authority":17,"freshness":16,"relevant":19,"comment":247},"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。",[249],{"name":243,"url":240},[26,28,251,252,253],"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":257},{"candidates":258,"agricultural_evidence":45},[259],{"code":31,"score":16,"supported":45,"title":260,"abstract":261,"tags":264},[],[262,263],"精准农业","precision agriculture",[28,26],[266,267],"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":270,"openalex_id":272,"authors":273,"venue":243,"cited_by_count":54,"oa_url":240,"card":277,"direction":68,"ingested_from":69},"W7214976113",[274],{"name":275,"orcid":276},"Ірина Мося","https:\u002F\u002Forcid.org\u002F0000-0001-7641-3352",{"tldr":278,"method":279,"finding":280,"direction":68,"opportunity":281},"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":284,"title":285,"url":286,"summary":287,"summary_zh":8,"content":8,"source_name":288,"source_url":286,"published_at":289,"category":11,"cover_url":8,"hotness":80,"is_selected":13,"score":290,"score_detail":291,"sources":295,"tags":297,"primary_topic":300,"secondary_topics":301,"classification":302,"search_phrases":314,"slug":317,"view_count":269,"doi":318,"paper":319,"created_at":331},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":292,"substance":134,"depth":293,"authority":44,"freshness":16,"relevant":19,"comment":294},12,16,"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。",[296],{"name":288,"url":286},[26,27,262,298,299],"农业投资","法国农业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":303},{"candidates":304,"agricultural_evidence":45},[305,309],{"code":31,"score":17,"supported":45,"title":306,"abstract":307,"tags":308},[],[263],[26,27,262],{"code":310,"score":19,"supported":13,"title":311,"abstract":312,"tags":313},"G3",[],[],[298],[315,316],"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","10.1007\u002Fs11119-026-10429-3",{"doi":318,"openalex_id":320,"authors":321,"venue":288,"cited_by_count":54,"oa_url":8,"card":8,"direction":68,"ingested_from":69},"W7214319682",[322,325,328],{"name":323,"orcid":324},"Maha Ben Jaballah","https:\u002F\u002Forcid.org\u002F0000-0002-4489-278X",{"name":326,"orcid":327},"Aude Ridier","https:\u002F\u002Forcid.org\u002F0000-0002-7893-735X",{"name":329,"orcid":330},"Karine Daniel","https:\u002F\u002Forcid.org\u002F0000-0001-9550-5666","2026-09-26T23:30:02.695117Z",{"id":333,"title":334,"url":335,"summary":336,"summary_zh":337,"content":8,"source_name":338,"source_url":335,"published_at":339,"category":11,"cover_url":8,"hotness":80,"is_selected":13,"score":340,"score_detail":341,"sources":344,"tags":346,"primary_topic":350,"secondary_topics":351,"classification":352,"search_phrases":370,"slug":373,"view_count":222,"doi":374,"paper":375,"created_at":387},3273,"Determinants of the Use and Extent of Digital Agriculture Among Moroccan Farmers","https:\u002F\u002Fdoi.org\u002F10.22004\u002Fag.econ.412776","Digital agriculture, driven by advancements in financial engineering, holds significant potential to enhance productivity and sustainability in agricultural production. However, the adoption and extent of these technologies fundamentally depend on farmers’ willingness to accept and use them. While recent studies have identified key factors influencing the adoption of digital agriculture, to the best of our knowledge, no academic study has specifically examined the determinants of both the use and the extent of adoption, particularly within the Moroccan context. This study investigates both the adoption and intensity of digital agriculture among a sample of 250 Moroccan farmers, utilizing a paper-based survey and two econometric approaches: a multinomial logit model and the Heckman model. The findings reveal that farmer age has a negative and significant impact on digital agriculture adoption. At the same time, crop type and risk aversion emerge as significant positive determinants of both the adoption and the extent of smart farming use. Specifically, technology adoption is mainly influenced by age, crop type, and risk aversion, whereas the extent of use is primarily driven by risk aversion and the type of crops cultivated. These results highlight the importance of implementing targeted policies and training programs to promote broader and more intensive use of digital agriculture technologies. Additionally, these findings open up avenues for further research aimed at better understanding the underlying factors that shape Moroccan farmers' behavior toward digital agriculture adoption.","由金融工程进步所驱动的数字农业，在提升农业生产率与可持续性方面具有巨大潜力。然而，这些技术的采用及其程度从根本上取决于农民接受和使用它们的意愿。尽管近期研究已识别出影响数字农业采用的关键因素，但据我们所知，尚无学术研究专门考察使用与采用程度的决定因素，尤其是在摩洛哥背景下。本研究基于250名摩洛哥农民的样本，采用纸质问卷调查和两种计量经济学方法——多项Logit模型与Heckman模型——考察了数字农业的采用情况及使用强度。研究发现，农民年龄对数字农业采用具有显著负向影响。与此同时，作物类型与风险规避对智慧农业的采用及使用程度均呈现显著正向决定作用。具体而言，技术采用主要受年龄、作物类型和风险规避影响，而使用程度则主要由风险规避和所种植作物类型驱动。这些结果凸显了实施有针对性的政策与培训项目以促进数字农业技术更广泛、更深入应用的重要性。此外，这些发现为后续研究开辟了方向，有助于更深入理解塑造摩洛哥农民数字农业采用行为的潜在因素。","AgEcon Search (University of Minnesota, USA)","2026-09-21T00:00:00Z",72,{"impact":292,"substance":342,"depth":191,"authority":95,"freshness":18,"relevant":19,"comment":343},21,"基于250户摩洛哥农户调查，用多项Logit与Heckman模型揭示年龄、作物类型与风险规避对数字农业采纳及使用强度的差异化影响，方法规范、结论有新意，对发展中国家数字农业推广有借鉴价值。",[345],{"name":338,"url":335},[26,27,347,348,349],"农业技术推广","农户采纳","摩洛哥农业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":353},{"candidates":354,"agricultural_evidence":45},[355,360,365],{"code":31,"score":356,"supported":45,"title":357,"abstract":358,"tags":359},19,[47],[27,26,47],[26,27],{"code":361,"score":19,"supported":13,"title":362,"abstract":363,"tags":364},"G1",[],[],[347],{"code":366,"score":19,"supported":13,"title":367,"abstract":368,"tags":369},"G2",[],[],[348],[371,372],"摩洛哥 农户 数字农业","Heckman 模型 智慧农业 采纳","摩洛哥农户数字农业-3273","10.22004\u002Fag.econ.412776",{"doi":374,"openalex_id":376,"authors":377,"venue":338,"cited_by_count":54,"oa_url":335,"card":382,"direction":235,"ingested_from":69},"W7213999238",[378,380],{"name":379,"orcid":8},"Adil Jouamaa Mohammed",{"name":381,"orcid":8},"I. Mubarak Abdulilah",{"tldr":383,"method":384,"finding":385,"direction":68,"opportunity":386},"研究摩洛哥250位农民采用数字农业及其使用程度的决定因素。","纸质问卷，多项Logit模型与Heckman模型。","年龄负向影响采用，作物类型和风险规避正向影响采用与使用程度。","可针对不同作物和风险偏好农民设计差异化推广策略，并开展跨区域比较研究。","2026-09-23T23:30:11.088448Z"]