[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1813":3,"related-1813":64},{"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":23,"tags":25,"primary_topic":30,"secondary_topics":36,"classification":37,"search_phrases":48,"slug":51,"view_count":52,"doi":8,"paper":53,"created_at":63},1813,"Digital Technology Driving Agricultural Economic Resilience: Mechanism Analysis, Empirical Test, and Policy Implications（《智慧农业（中英文）》2026, 8(3): 203-214）","https:\u002F\u002Fagris.fao.org\u002Fsearch\u002Far\u002Frecords\u002F6a96d27a8a202ccda1b6499b","基于2012、2015、2017、2018、2020年中国省级非连续面板数据，运用投入产出模型测算\"信息传输、软件和信息技术服务业\"被农业部门完全消耗系数界定数字技术投入总值。基准回归显示ICT投入系数在1%水平显著为正。维度分解表明数字技术显著增强恢复力与发展力，但对抵抗力维度影响有限且呈现边际负向效应。机制分析表明市场化、经济效率、运输密度为主要传导路径。异质性分析显示数字技术在西部呈现\"数字补偿\"优势。",null,"FAO AGRIS \u002F 智慧农业(中英文)2026, 8(3)","2026-09-04T00:00:00Z","论文",10,false,79,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},22,20,18,14,5,1,"基于省级面板数据与投入产出模型，实证分析数字技术对农业经济韧性的多维影响，机制与异质性分析扎实，对政策制定有参考价值。",[24],{"name":9,"url":6},[26,27,28,29],"智慧农业","农业经济","数字技术","ICT投入",{"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":44},[43],{"code":31,"score":12,"supported":44,"title":45,"abstract":46,"tags":47},true,[26],[],[28,26],[49,50],"农业经济 数字技术 智慧农业 ICT投入","农业经济 数字技术","农业经济数字技术智慧农业ICT投入-1813",2,{"doi":8,"openalex_id":8,"authors":54,"venue":8,"cited_by_count":55,"oa_url":8,"card":56,"direction":60,"ingested_from":62},[],0,{"tldr":57,"method":58,"finding":59,"direction":60,"opportunity":61},"研究数字技术投入对中国农业经济韧性的影响及其机制。","投入产出模型测算ICT完全消耗系数，面板回归及机制分析。","数字技术显著增强恢复力与发展力，对抵抗力影响有限且边际负向。","农业人工智能与决策模型","可探索数字技术对农业抵抗力维度的非线性影响，或针对西部地区的补偿机制设计政策。","agent","2026-09-07T00:04:41.311629Z",{"total":65,"page":21,"page_size":65,"items":66},6,[67,119,171,219,264,295],{"id":68,"title":69,"url":70,"summary":71,"summary_zh":72,"content":8,"source_name":73,"source_url":70,"published_at":74,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":75,"score_detail":76,"sources":81,"tags":83,"primary_topic":87,"secondary_topics":88,"classification":89,"search_phrases":97,"slug":100,"view_count":55,"doi":101,"paper":102,"created_at":118},4905,"Impact of Digital Technologies on Quality Learning Engagement in Agricultural Science Among Students in Secondary Schools in Rivers State","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23342866","This study examined the impact of digital technologies on quality learning engagement in agricultural science among students in secondary schools in Rivers State, Nigeria. A descriptive survey design was used. Through multi-stage sampling, 400 respondents (112 teachers and 288 students) were drawn from 24 public secondary schools in six Local Government Areas across the three senatorial zones. Data were collected with a self-constructed four-point questionnaire, validated by three experts, with an overall Cronbach’s alpha of 0.77, and analyzed using means, standard deviations and the z-test at the 0.05 level of significance. The study revealed that digital technologies had a positive impact on students’ learning engagement. Instructional technologies such as virtual simulation software, precision agriculture tools and virtual laboratory technology are perceived to enhance quality learning engagement of students in agricultural science. The z-tests showed no significant difference between the groups for any technology. The results show that teachers and students hold similarly favourable views of these technologies, which supports their planned integration into Agricultural Science teaching, particularly where physical laboratory and farm facilities are limited. The study concludes that the adoption of digital technologies into the teaching and learning process of agricultural science has considerable potential to improving the quality of learning engagement and can bridge the gap between theoretical instruction and practical agricultural experiences. the study thus recommends the integration of digital technologies into agricultural science instruction and that schools should organize professional development on its effective use, to enable teachers provide realistic practical experiences.","本研究考察了数字技术对尼日利亚河流州中学生农业科学优质学习投入的影响。研究采用描述性调查设计。通过多阶段抽样，从三个参议员选区六个地方政府区域的24所公立中学中抽取了400名受访者（112名教师和288名学生）。数据采用自行编制的四点式问卷收集，该问卷经三位专家验证，总体Cronbach's alpha系数为0.77，并使用均值、标准差和0.05显著性水平下的z检验进行分析。研究发现，数字技术对学生的学习投入产生了积极影响。虚拟仿真软件、精准农业工具和虚拟实验室技术等教学技术被认为能够提升农业科学学生的优质学习投入。z检验表明，各组在任何技术方面均无显著差异。结果表明，教师和学生对上述技术持相似的良好看法，这支持将其有计划地整合到农业科学教学中，尤其是在实体实验室和农场设施有限的情况下。研究得出结论，将数字技术纳入农业科学的教学过程具有相当大的潜力，能够提高学习投入的质量，并弥合理论教学与实践农业经验之间的差距。因此，研究建议将数字技术整合到农业科学教学中，学校应组织关于其有效使用的专业发展培训，以使教师能够提供真实的实践体验。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-13T00:00:00Z",61,{"impact":77,"substance":18,"depth":19,"authority":78,"freshness":79,"relevant":21,"comment":80},8,12,9,"尼日利亚地区性实证研究，样本与方法规范，结论支持数字技术融入农业科学教学，对农业信息化教育应用有参考价值，但影响范围限于地方。",[82],{"name":73,"url":70},[26,28,84,85,86],"精准农业","农业教育","虚拟仿真",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":90},{"candidates":91,"agricultural_evidence":44},[92],{"code":31,"score":79,"supported":44,"title":93,"abstract":94,"tags":96},[],[84,95],"precision agriculture",[28,26,84],[98,99],"Rivers State 农业科学 数字技术","尼日利亚 中学 农业科学 学习投入","RiversState农业科学数字技术-4905","10.5281\u002Fzenodo.23342866",{"doi":101,"openalex_id":103,"authors":104,"venue":73,"cited_by_count":55,"oa_url":70,"card":111,"direction":115,"ingested_from":117},"W7221595725",[105,107,109],{"name":106,"orcid":8},"P.O. Chukwuocha",{"name":108,"orcid":8},"A.U. Nnodim",{"name":110,"orcid":8},"N.S. Amadi",{"tldr":112,"method":113,"finding":114,"direction":115,"opportunity":116},"研究数字技术对尼日利亚河流州中学农业科学学习投入的影响。","对400名师生问卷调查，用均值、标准差和z检验分析。","数字技术正向提升学习投入，虚拟仿真、精准农业工具等受认可，师生观点无显著差异。","数字乡村与农业信息化","可探究数字技术在农业实践教学中的长期效果及资源匮乏地区的适配模式。","openalex","2026-10-14T23:30:34.199346Z",{"id":120,"title":121,"url":122,"summary":123,"summary_zh":8,"content":8,"source_name":124,"source_url":122,"published_at":125,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":126,"score_detail":127,"sources":131,"tags":133,"primary_topic":136,"secondary_topics":137,"classification":138,"search_phrases":157,"slug":160,"view_count":55,"doi":161,"paper":162,"created_at":170},4499,"Digital Technology for Climate Smart Agriculture: A Comprehensive Review","https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.28386.90569","Digital Technology for Climate Smart Agriculture: A Comprehensive Review。OpenAlex","OpenAlex","2026-10-07T00:00:00Z",69,{"impact":18,"substance":128,"depth":129,"authority":78,"freshness":77,"relevant":21,"comment":130},16,15,"OpenAlex收录的气候智慧型农业数字技术综述，主题契合农业信息化，但仅见标题与来源、缺乏方法与数据细节，信息增量有限。",[132],{"name":124,"url":122},[26,134,28,135],"农业人工智能","气候智慧型农业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":139},{"candidates":140,"agricultural_evidence":44},[141,147,152],{"code":31,"score":142,"supported":44,"title":143,"abstract":145,"tags":146},13,[144],"smart agriculture",[144],[28,26],{"code":148,"score":21,"supported":13,"title":149,"abstract":150,"tags":151},"H7",[],[],[135],{"code":153,"score":21,"supported":13,"title":154,"abstract":155,"tags":156},"I2",[],[],[134],[158,159],"气候智慧型农业 农业人工智能 数字技术 智慧农业","气候智慧型农业 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10.12133\u002Fj.smartag.SA202602010。","《智慧农业(中英文)》2026, 8(3): 239-252","2026-09-02T11:52:00Z",77,{"impact":17,"substance":16,"depth":18,"authority":129,"freshness":52,"relevant":21,"comment":180},"核心期刊论文，系统阐述大数据驱动农业经济研究范式转型，具有理论深度与前瞻性，但时效性较低。",[182],{"name":176,"url":174},[26,27,184,185],"大数据","研究范式",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":189},{"candidates":190,"agricultural_evidence":44},[191,195,202],{"code":31,"score":79,"supported":44,"title":192,"abstract":193,"tags":194},[26],[],[26],{"code":196,"score":197,"supported":44,"title":198,"abstract":199,"tags":201},"I7",4,[],[200],"研究方法",[185],{"code":203,"score":21,"supported":13,"title":204,"abstract":205,"tags":206},"I6",[],[],[184],[208,209],"农业经济 智慧农业 研究范式 大数据","农业经济 智慧农业","农业经济智慧农业研究范式大数据-1875",{"doi":8,"openalex_id":8,"authors":212,"venue":8,"cited_by_count":55,"oa_url":8,"card":213,"direction":115,"ingested_from":62},[],{"tldr":214,"method":215,"finding":216,"direction":115,"opportunity":217},"基于库恩范式理论，分析大数据驱动农业经济研究向第四范式转型的维度与趋势。","库恩科学范式理论，多维度对比分析。","大数据推动农业经济研究向数据密集型第四科学范式跃迁。","可探索农业经济研究范式转型中的具体方法创新，如数据驱动模型与传统理论的融合。","2026-09-08T00:07:15.460008Z",{"id":220,"title":221,"url":222,"summary":223,"summary_zh":8,"content":8,"source_name":224,"source_url":8,"published_at":225,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":226,"score_detail":227,"sources":230,"tags":232,"primary_topic":234,"secondary_topics":235,"classification":236,"search_phrases":253,"slug":255,"view_count":52,"doi":8,"paper":256,"created_at":263},1582,"大数据技术驱动农业经济研究范式转型：维度、趋势与建议（智慧农业 8(3): 239-252）","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7680917191947993634","中国农业科学院农业经济与发展研究所赵炳坤、闫琰、王秀东研究员基于库恩科学范式理论，从数据来源、研究载体、研究对象、研究思路、研究方法、评价标准和组织形式 7 个维度，对比农业经济研究四阶段演进特征，剖析数据密集型第 4 范式的变革逻辑。研究发现，大数据技术正推动农业经济研究向数据密集型第 4 科学范式跃迁：数据来源从小样本、结构化、低频静态形态转向全量、多源异构、高频实时形态；研究载体从现实场景延伸至数字孪生与平台观测构成的虚实融合空间；这一转型过程在数据、方法与治理层面伴生新的挑战。","智慧农业(中英文)期刊","2026-09-02T12:41:00Z",82,{"impact":17,"substance":16,"depth":18,"authority":129,"freshness":228,"relevant":21,"comment":229},7,"核心期刊论文系统阐述大数据对农业经济研究范式的变革，具有理论深度与前瞻性，值得精选。",[231],{"name":224,"url":222},[26,27,184,233],"科研范式",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":237},{"candidates":238,"agricultural_evidence":44},[239,244,249],{"code":31,"score":78,"supported":44,"title":240,"abstract":241,"tags":243},[26],[242],"数字孪生",[26],{"code":196,"score":245,"supported":44,"title":246,"abstract":247,"tags":248},3,[],[200],[],{"code":203,"score":21,"supported":13,"title":250,"abstract":251,"tags":252},[],[],[184],[254,209],"农业经济 智慧农业 科研范式 大数据","农业经济智慧农业科研范式大数据-1582",{"doi":8,"openalex_id":8,"authors":257,"venue":8,"cited_by_count":55,"oa_url":8,"card":258,"direction":115,"ingested_from":62},[],{"tldr":259,"method":260,"finding":261,"direction":115,"opportunity":262},"本文基于库恩范式理论，分析大数据技术推动农业经济研究向数据密集型第4范式转型的维度、趋势与建议。","采用库恩科学范式理论，从7个维度对比农业经济研究四阶段演进特征。","大数据推动农业经济研究向数据密集型第4范式跃迁，数据形态、研究载体等发生变革，并伴生新挑战。","可深入探索农业经济研究中数据密集型范式的具体应用，如数字孪生与平台观测在农业经济分析中的融合机制。","2026-09-04T00:05:34.163450Z",{"id":265,"title":266,"url":267,"summary":268,"summary_zh":8,"content":8,"source_name":269,"source_url":8,"published_at":270,"category":11,"cover_url":8,"hotness":12,"is_selected":44,"score":271,"score_detail":272,"sources":275,"tags":277,"primary_topic":281,"secondary_topics":282,"classification":283,"search_phrases":290,"slug":293,"view_count":78,"doi":8,"paper":8,"created_at":294},417,"《智慧农业(中英文)》2026年第3期专题集中上线——数字技术驱动农业经济韧性提升多元路径","https:\u002F\u002Fcastjournals.cast.org.cn\u002FSA\u002Fch\u002Freader\u002Fissue_list.aspx?year_id=2026&quarter_id=3","《智慧农业(中英文)》2026年第3期(8月)密集发布专题论文,聚焦'数字技术赋能与农业经济范式转型':包括黄季焜教授团队《涉农数智技术采纳现状与现实挑战》、杨军教授团队《数智技术赋能农业高质量发展:现状、挑战及路径探索》、智慧农业(中英文)8(3)数字技术驱动农业经济韧性提升多元路径(组态视角DQCA)、何磊磊杨军数智技术赋能农业高质量发展、顾雪微赵向豪智慧农业赋能农业绿色转型(技术革新视角)、朱孟帅等数字技术驱动农业经济韧性机理等。该期集中呈现学者基于农户面板、县域数据、组态视角揭示'数字技术-农业经济韧性'的多元路径,为政策制定提供理论支撑。","智慧农业(中英文) 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