[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1402":3,"related-1402":95},{"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":18,"tags":20,"primary_topic":9,"secondary_topics":23,"classification":24,"search_phrases":70,"slug":72,"view_count":73,"doi":74,"paper":75,"created_at":94},1402,"Digital Frontlines: Innovation for Food and Water Resilience in Humanitarian Contexts","https:\u002F\u002Fdoi.org\u002F10.51137\u002Fwrp.ijarbm.1058","Humanitarian crises, resulting from conflicts, climate change, displacement, and environmental shocks, continue to put food and water security at risk for millions of vulnerable populations globally. Digital technologies are increasingly being used at the “digital frontlines” of humanitarian work to enhance food and water resilience. This paper explores the contributions of developing digital innovations including mobile and SMS systems, remote sensing, Internet of Things (IoT) sensors, drones, blockchain, AI, digital cash transfers, and data dashboards, to humanitarian food and water activities. An integrative review approach is employed in synthesizing evidence from humanitarian contexts and analyzing eight case studies from across Africa, Asia and global disaster settings. The research reveals significant benefits to early warning, efficiency in service delivery, aid targeting, reduction in costs, transparency, and community engagement. Key results include decreased downtime in water infrastructure, enhanced prediction in food insecurity, effective cash-transfer operations, and better water quality control. Challenges remain to implementation due to infrastructural limitations, digital exclusion, data protection issues, interoperability, low local capacity, and insufficient longer-term funding. Operational and cost-efficiency gains appear to be substantiated but there is still a lack of evidence-based assessments of longer-term resilience outcomes. To achieve effective institutionalization of digital humanitarian innovation, the paper suggests strengthened governance structures, ethical guidelines, participatory design, long-term investment, and enhanced partnerships among governments, humanitarian organizations, private sector actors and local communities. In conclusion, digital innovations can play a significant role in reinforcing humanitarian resilience and achieving the SDGs on food security, water and climate adaptation.","人道主义危机源于冲突、气候变化、流离失所和环境冲击，持续威胁着全球数百万弱势群体的粮食与饮水安全。数字技术正越来越多地被应用于人道主义工作的“数字前线”，以增强粮食与饮水的韧性。本文探讨了包括移动电话和短信系统、遥感、物联网（IoT）传感器、无人机、区块链、人工智能、数字现金转移及数据仪表板在内的新兴数字创新对人道主义粮食与饮水活动的贡献。采用整合性综述方法，综合来自人道主义情境的证据，并分析了非洲、亚洲及全球灾害情境下的八个案例研究。研究揭示了这些技术在早期预警、服务交付效率、援助目标定位、成本降低、透明度及社区参与方面的显著益处。关键结果包括饮水基础设施停机时间减少、粮食不安全预测能力增强、现金转移操作有效以及水质控制改善。实施过程中仍面临挑战，包括基础设施限制、数字排斥、数据保护问题、互操作性不足、地方能力薄弱以及长期资金短缺。运营和成本效益方面的收益似乎已得到证实，但关于长期韧性成果的循证评估仍显不足。为实现数字人道主义创新的有效制度化，本文建议强化治理结构、制定伦理准则、推动参与式设计、进行长期投资，并加强政府、人道主义组织、私营部门行为体与地方社区之间的伙伴关系。总之，数字创新在增强人道主义韧性及实现可持续发展目标（SDGs）中关于粮食安全、饮水与气候适应方面可发挥重要作用。",null,"International Journal of Applied Research in Business and Management","2026-09-01T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"主题聚焦人道主义危机中的粮食与水安全，非农业信息化核心范畴。",[19],{"name":10,"url":6},[21,22],"数字技术","人道主义",[],{"status":25,"locked":14,"version":26,"method":27,"evidence":28},"needs_review","2026-10-22.2","rules",{"candidates":29,"agricultural_evidence":33,"reason":69},[30,40,48,56,63],{"code":31,"score":32,"supported":33,"title":34,"abstract":35,"tags":39},"H7",9,true,[],[36,37,38],"气候变化","气候适应","climate change",[],{"code":41,"score":32,"supported":33,"title":42,"abstract":43,"tags":47},"I5",[],[44,45,46],"物联网","internet of things","IoT",[],{"code":49,"score":50,"supported":33,"title":51,"abstract":52,"tags":55},"A8",6,[],[53,54],"粮食安全","food security",[],{"code":57,"score":50,"supported":33,"title":58,"abstract":59,"tags":62},"I3",[],[60,61],"遥感","remote sensing",[],{"code":64,"score":65,"supported":14,"title":66,"abstract":67,"tags":68},"I1",1,[],[],[21],"多个产业证据相当，需要确认主归属",[71],"人道主义 数字技术","人道主义数字技术-1402",2,"10.51137\u002Fwrp.ijarbm.1058",{"doi":74,"openalex_id":76,"authors":77,"venue":10,"cited_by_count":15,"oa_url":85,"card":86,"direction":92,"ingested_from":93},"W7204871446",[78,81,83],{"name":79,"orcid":80},"Kazeem Oyedele Lamidi","https:\u002F\u002Forcid.org\u002F0000-0002-0434-8990",{"name":82,"orcid":9},"Paul Oluwamoroti Adebayo",{"name":84,"orcid":9},"Costa Hofisi","https:\u002F\u002Fwww.wr-publishing.org\u002Findex.php\u002Fijarbm\u002Farticle\u002Fdownload\u002F1058\u002F761",{"tldr":87,"method":88,"finding":89,"direction":90,"opportunity":91},"探讨数字技术在人道主义危机中增强粮食和水韧性的贡献与挑战。","整合性综述，分析非洲、亚洲等八个案例。","数字技术提升预警、效率、透明度，但存在基础设施和资金等挑战。","其他","可研究数字创新在人道救援中的长期韧性评估及治理机制，填补实证空白。","智慧农业 \u002F 农业物联网","openalex","2026-09-02T23:30:09.862158Z",{"total":50,"page":65,"page_size":50,"items":96},[97,155,205,261,320,359],{"id":98,"title":99,"url":100,"summary":101,"summary_zh":102,"content":9,"source_name":103,"source_url":100,"published_at":104,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":105,"score_detail":106,"sources":112,"tags":114,"primary_topic":119,"secondary_topics":124,"classification":125,"search_phrases":134,"slug":137,"view_count":15,"doi":138,"paper":139,"created_at":154},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":107,"substance":108,"depth":109,"authority":110,"freshness":32,"relevant":65,"comment":111},8,18,14,12,"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。",[113],{"name":103,"url":100},[115,21,116,117,118],"智慧农业","精准农业","农业教育","虚拟仿真",{"code":64,"slug":120,"name":121,"path":122,"parent_code":123},"smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","I",[],{"status":126,"locked":14,"version":26,"method":27,"evidence":127},"classified",{"candidates":128,"agricultural_evidence":33},[129],{"code":64,"score":32,"supported":33,"title":130,"abstract":131,"tags":133},[],[116,132],"precision agriculture",[21,115,116],[135,136],"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":138,"openalex_id":140,"authors":141,"venue":103,"cited_by_count":15,"oa_url":100,"card":148,"direction":152,"ingested_from":93},"W7221595725",[142,144,146],{"name":143,"orcid":9},"P.O. Chukwuocha",{"name":145,"orcid":9},"A.U. Nnodim",{"name":147,"orcid":9},"N.S. Amadi",{"tldr":149,"method":150,"finding":151,"direction":152,"opportunity":153},"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。","2026-10-14T23:30:34.199346Z",{"id":156,"title":157,"url":158,"summary":159,"summary_zh":9,"content":9,"source_name":160,"source_url":158,"published_at":161,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":162,"score_detail":163,"sources":167,"tags":169,"primary_topic":172,"secondary_topics":173,"classification":174,"search_phrases":192,"slug":195,"view_count":15,"doi":196,"paper":197,"created_at":204},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":108,"substance":164,"depth":165,"authority":110,"freshness":107,"relevant":65,"comment":166},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。",[168],{"name":160,"url":158},[115,170,21,171],"农业人工智能","气候智慧型农业",{"code":64,"slug":120,"name":121,"path":122,"parent_code":123},[],{"status":126,"locked":14,"version":26,"method":27,"evidence":175},{"candidates":176,"agricultural_evidence":33},[177,183,187],{"code":64,"score":178,"supported":33,"title":179,"abstract":181,"tags":182},13,[180],"smart agriculture",[180],[21,115],{"code":31,"score":65,"supported":14,"title":184,"abstract":185,"tags":186},[],[],[171],{"code":188,"score":65,"supported":14,"title":189,"abstract":190,"tags":191},"I2",[],[],[170],[193,194],"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 农业人工智能","气候智慧型农业农业人工智能数字技术智慧农业-4499","10.13140\u002Frg.2.2.28386.90569",{"doi":196,"openalex_id":198,"authors":199,"venue":9,"cited_by_count":15,"oa_url":158,"card":9,"direction":92,"ingested_from":93},"W7221016064",[200,202],{"name":201,"orcid":9},"Vaibhav Singh",{"name":203,"orcid":9},"Dipak Kumar Bose","2026-10-09T23:30:12.341364Z",{"id":206,"title":207,"url":208,"summary":209,"summary_zh":9,"content":9,"source_name":210,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":211,"score_detail":212,"sources":215,"tags":217,"primary_topic":9,"secondary_topics":222,"classification":223,"search_phrases":247,"slug":250,"view_count":73,"doi":9,"paper":251,"created_at":260},4403,"数字技术发展赋能农业绿色全要素生产率 — 基于机制异质性与区域适配的实证分析","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F173656.html","张建伟、孟婷洁基于 2011-2023 年中国 31 个省份面板数据,采用熵值法和 SBM-GML 模型测度数字技术发展与农业绿色全要素生产率,运用双向固定效应模型检验发现数字技术发展具有显著促进作用且存在双重异质性;空间上回报率呈地理位置为主导的分化,效率上呈边际效应递减;机制上要素数字化呈现「转化—产出」结构性失衡,东部强于转化弱于产出,中西部相反。","西藏大学经济与管理学院《华东经济管理》2026 年第 06 期",73,{"impact":108,"substance":213,"depth":108,"authority":178,"freshness":73,"relevant":65,"comment":214},22,"基于31省面板数据的实证研究，方法规范、结论有区域适配价值，但属学术论文且时效性弱，适合主题聚合而非每日精选。",[216],{"name":210,"url":208},[218,21,219,220,221],"数字乡村","农业绿色发展","区域差异","农业全要素生产率",[],{"status":224,"locked":14,"version":26,"method":27,"evidence":225},"unclassified",{"candidates":226,"agricultural_evidence":33,"reason":246},[227,232,237,241],{"code":228,"score":65,"supported":14,"title":229,"abstract":230,"tags":231},"H4",[],[],[219],{"code":233,"score":65,"supported":14,"title":234,"abstract":235,"tags":236},"H8",[],[],[219],{"code":64,"score":65,"supported":14,"title":238,"abstract":239,"tags":240},[],[],[21],{"code":242,"score":65,"supported":14,"title":243,"abstract":244,"tags":245},"I6",[],[],[218],"缺少足够的主题证据",[248,249],"数字技术 农业绿色全要素生产率","SBM-GML 数字技术","数字技术农业绿色全要素生产率-4403",{"doi":9,"openalex_id":9,"authors":252,"venue":9,"cited_by_count":15,"oa_url":9,"card":253,"direction":257,"ingested_from":259},[],{"tldr":254,"method":255,"finding":256,"direction":257,"opportunity":258},"基于2011-2023年31省面板数据，实证检验数字技术对农业绿色全要素生产率的促进效应及异质性。","熵值法与SBM-GML测度，双向固定效应模型，31省面板数据。","数字技术显著促进农业绿色全要素生产率，存在空间与效率双重异质性，要素数字化呈转化—产出结构性失衡。","农业绿色发展与碳","可深入探究要素数字化转化—产出失衡的微观机制，及东中西部差异化适配路径与政策设计。","agent","2026-10-08T00:07:46.774845Z",{"id":262,"title":263,"url":264,"summary":265,"summary_zh":9,"content":9,"source_name":266,"source_url":9,"published_at":267,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":268,"score_detail":269,"sources":272,"tags":274,"primary_topic":278,"secondary_topics":282,"classification":283,"search_phrases":308,"slug":311,"view_count":65,"doi":9,"paper":312,"created_at":319},3053,"理解\"乡村\"：整体性视野下乡村数字治理的语境与空间","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fjianghuailuntan\u002Fmulu\u002F678640.html","西北农林科技大学人文社会发展学院郭占锋、李美琪通过对陕西省Z县数字乡村\"1844\"智慧平台的考察发现，数字技术的不断渗透与全面覆盖使得乡村治理的实践场景、制度结构和生活空间发生了显著变化。通过实践空间的理性重塑、制度空间的结构联结和生活空间的技术嵌入，将分散的乡村空间和脱域的治理主体紧密联结，促使实践、制度与生活空间深度融合，这一过程兼具赋权与赋能之效，提升了乡村网格化、精细化和信息化的治理水平。研究得到国家社会科学基金项目\"乡村振兴背景下复合型农村社区组织体系建设问题研究\"（21BSH095）资助。","江淮论坛2026","2026-09-20T00:00:00Z",78,{"impact":164,"substance":270,"depth":108,"authority":109,"freshness":32,"relevant":65,"comment":271},21,"核心期刊论文，基于陕西Z县1844智慧平台的实地考察，提出实践、制度与生活空间融合的分析框架，对数字乡村治理研究有实质增量，但属学术探讨而非政策或产业级事件。",[273],{"name":266,"url":264},[218,21,275,276,277],"乡村数字治理","智慧平台","网格化治理",{"code":242,"slug":279,"name":280,"path":281,"parent_code":123},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",[],{"status":126,"locked":14,"version":26,"method":27,"evidence":284},{"candidates":285,"agricultural_evidence":33},[286,291,298,304],{"code":242,"score":287,"supported":33,"title":288,"abstract":289,"tags":290},4,[],[218],[218],{"code":292,"score":293,"supported":33,"title":294,"abstract":295,"tags":297},"G",3,[],[296],"乡村振兴",[],{"code":299,"score":293,"supported":33,"title":300,"abstract":301,"tags":303},"G5",[],[302],"乡村治理",[],{"code":64,"score":65,"supported":14,"title":305,"abstract":306,"tags":307},[],[],[21],[309,310],"西北农林科技大学 乡村数字治理","陕西Z县 1844智慧平台","西北农林科技大学乡村数字治理-3053",{"doi":9,"openalex_id":9,"authors":313,"venue":9,"cited_by_count":15,"oa_url":9,"card":314,"direction":152,"ingested_from":259},[],{"tldr":315,"method":316,"finding":317,"direction":152,"opportunity":318},"基于陕西Z县数字乡村平台案例，分析数字技术如何重塑乡村治理的实践、制度与生活空间。","案例研究法，考察陕西Z县数字乡村'1844'智慧平台。","数字技术通过重塑实践空间、联结制度空间、嵌入生活空间，提升乡村网格化、精细化、信息化治理水平。","可进一步比较不同区域数字乡村平台的治理效果，探究技术嵌入与乡村社会结构的互动机制。","2026-09-21T00:04:39.751162Z",{"id":321,"title":322,"url":323,"summary":324,"summary_zh":9,"content":9,"source_name":325,"source_url":9,"published_at":326,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":327,"score_detail":328,"sources":332,"tags":334,"primary_topic":337,"secondary_topics":338,"classification":339,"search_phrases":346,"slug":349,"view_count":73,"doi":9,"paper":350,"created_at":358},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。","FAO AGRIS \u002F 智慧农业(中英文)2026, 8(3)","2026-09-04T00:00:00Z",79,{"impact":213,"substance":329,"depth":108,"authority":109,"freshness":330,"relevant":65,"comment":331},20,5,"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。",[333],{"name":325,"url":323},[115,335,21,336],"农业经济","ICT投入",{"code":64,"slug":120,"name":121,"path":122,"parent_code":123},[],{"status":126,"locked":14,"version":26,"method":27,"evidence":340},{"candidates":341,"agricultural_evidence":33},[342],{"code":64,"score":13,"supported":33,"title":343,"abstract":344,"tags":345},[115],[],[21,115],[347,348],"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",{"doi":9,"openalex_id":9,"authors":351,"venue":9,"cited_by_count":15,"oa_url":9,"card":352,"direction":356,"ingested_from":259},[],{"tldr":353,"method":354,"finding":355,"direction":356,"opportunity":357},"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。","2026-09-07T00:04:41.311629Z",{"id":360,"title":361,"url":362,"summary":363,"summary_zh":364,"content":9,"source_name":365,"source_url":362,"published_at":366,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":367,"score_detail":368,"sources":370,"tags":372,"primary_topic":375,"secondary_topics":380,"classification":381,"search_phrases":395,"slug":398,"view_count":73,"doi":399,"paper":400,"created_at":413},1293,"Hybrid Agricultural Extension as an Inclusive Communication Strategy for Supporting Smart Agriculture: Evidence from Rural Indonesia","https:\u002F\u002Fdoi.org\u002F10.25015\u002F22202670626","Agricultural extension is undergoing significant transformation as digital technologies become increasingly integrated into agricultural innovation systems. However, empirical comparisons of conventional, digital, and hybrid extension approaches within the same rural context remain limited, particularly in developing countries. This study compared the effectiveness of these three extension models, identified barriers to digital technology adoption, and examined socio-demographic factors influencing farmers' adoption of digital agricultural technologies in Pasuruan Regency, Indonesia. An explanatory sequential mixed-methods design was employed, involving 100 farmers and 10 extension workers; quantitative data were analysed using descriptive statistics, one-way ANOVA, paired-sample t-tests, Pearson correlation, and multiple linear regression, while qualitative data were examined through thematic analysis. The hybrid model achieved the highest effectiveness score (4.67 ± 0.32), significantly outperforming conventional and digital approaches (F(2,97) = 28.46, p \u003C 0.001), with participating farmers showing greater improvements in knowledge, productivity, and work efficiency. Education, digital literacy, and trust in extension workers were positively associated with technology adoption, whereas age showed a negative association. The findings indicate that hybrid agricultural extension is a more inclusive communication strategy that integrates interpersonal interaction with digital learning, strengthening agricultural innovation systems and supporting smart agriculture. These findings provide empirical evidence supporting hybrid extension as a sustainable communication model for accelerating smart agriculture adoption in developing countries.","农业推广正在经历重大转型，数字技术日益融入农业创新体系。然而，在同一农村背景下对传统推广、数字推广和混合推广三种模式进行实证比较的研究仍然有限，尤其是在发展中国家。本研究比较了这三种推广模式的有效性，识别了数字技术采纳的障碍，并考察了影响印度尼西亚巴苏鲁安县农民采纳数字农业技术的社会人口因素。研究采用解释性序贯混合方法设计，涉及100名农民和10名推广人员；定量数据通过描述性统计、单因素方差分析、配对样本t检验、皮尔逊相关分析和多元线性回归进行分析，定性数据则通过主题分析进行检验。混合模式获得了最高的有效性得分（4.67 ± 0.32），显著优于传统模式和数字模式（F(2,97) = 28.46，p \u003C 0.001），参与农民在知识、生产力和工作效率方面表现出更大的提升。教育水平、数字素养和对推广人员的信任与技术采纳呈正相关，而年龄呈负相关。研究结果表明，混合式农业推广是一种更具包容性的传播策略，将人际互动与数字学习相结合，强化了农业创新体系并支持智慧农业的发展。这些发现为混合推广作为加速发展中国家智慧农业采纳的可持续传播模式提供了实证依据。","Jurnal Penyuluhan","2026-08-31T00:00:00Z",72,{"impact":108,"substance":213,"depth":108,"authority":110,"freshness":73,"relevant":65,"comment":369},"实证比较三种推广模式，为智慧农业推广提供新证据，但时效性低。",[371],{"name":365,"url":362},[115,373,21,374],"印尼","农业推广",{"code":376,"slug":377,"name":378,"path":379,"parent_code":292},"G1","extension-transfer","农技推广与成果转化","\u002Ftopic\u002Frural-services\u002Fextension-transfer",[],{"status":126,"locked":14,"version":26,"method":27,"evidence":382},{"candidates":383,"agricultural_evidence":33},[384,390],{"code":64,"score":385,"supported":33,"title":386,"abstract":387,"tags":389},19,[180],[115,388,180],"数字农业",[21,115],{"code":376,"score":165,"supported":33,"title":391,"abstract":393,"tags":394},[392],"agricultural extension",[374,392],[374],[396,397],"农业推广 数字技术 智慧农业 印尼","农业推广 数字技术","农业推广数字技术智慧农业印尼-1293","10.25015\u002F22202670626",{"doi":399,"openalex_id":401,"authors":402,"venue":365,"cited_by_count":15,"oa_url":407,"card":408,"direction":92,"ingested_from":93},"W7204757342",[403,405],{"name":404,"orcid":9},"Gunawan",{"name":406,"orcid":9},"M. Sazali Harun","https:\u002F\u002Fjournal.ipb.ac.id\u002Fjupe\u002Farticle\u002Fdownload\u002F70626\u002F34057",{"tldr":409,"method":410,"finding":411,"direction":152,"opportunity":412},"比较传统、数字和混合推广模式，发现混合推广在印尼农村最有效，促进智慧农业采纳。","混合方法：100名农民和10名推广员，定量统计（ANOVA、回归）加定性主题分析","混合推广效果最佳（4.67），显著优于其他；教育、数字素养和信任促进采纳，年龄负相关。","可探索混合推广在不同文化背景下的适应性，或设计个性化混合策略以克服年龄障碍。","2026-09-01T23:30:08.821483Z"]