[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1744":3,"related-1744":94},{"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":30,"secondary_topics":36,"classification":37,"search_phrases":68,"slug":71,"view_count":72,"doi":73,"paper":74,"created_at":93},1744,"From Vulnerability to Empowerment: The Interplay of Agri‐Fintech, Governance, and Emotional Intelligence in Indian Sustainable Farming","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fsd.71617","ABSTRACT Drawing on the sustainable livelihoods framework, our study investigates the influence of agri‐fintech adoption, geo‐environmental conditions, governance\u002Fvalue chain mechanisms, and emotional intelligence on sustainable crop productivity among 650 rural Indian farmers. Results indicate that agri‐fintech adoption is the strongest predictor of perceived crop productivity outcomes, followed by geo‐environmental conditions, governance and value chain mechanisms, and emotional intelligence, each significantly. Agri‐fintech positively moderates the governance‐crop productivity link. The model accounts for 49.6% of the variance, highlighting fintech's pivotal role in rural empowerment amid climate vulnerabilities. Theoretically, it extends TAM and vulnerability theory by uncovering interdependencies and potential trade‐offs in digital agriculture. In practice, the findings advocate for integrated policies that combine fintech with institutional support and adaptive training to enhance sustainability, food security, and alignment with the SDGs in emerging economies.","基于可持续生计框架，本研究探讨了农业金融科技采纳、地理环境条件、治理\u002F价值链机制以及情绪智力对650名印度农村农民可持续作物生产力的影响。结果表明，农业金融科技采纳是感知作物生产力结果的最强预测因子，其次是地理环境条件、治理与价值链机制以及情绪智力，且各因素均具有显著性。农业金融科技正向调节治理与作物生产力之间的关系。该模型解释了49.6%的方差，凸显了金融科技在气候脆弱性背景下对农村赋权的关键作用。在理论上，本研究通过揭示数字农业中的相互依赖关系及潜在权衡，扩展了技术接受模型（TAM）和脆弱性理论。在实践层面，研究结果倡导将金融科技与制度支持及适应性培训相结合的综合政策，以增强新兴经济体的可持续性、粮食安全，并与可持续发展目标（SDGs）保持一致。",null,"Sustainable Development","2026-09-04T00:00:00Z","论文",10,false,74,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,14,2,1,"研究揭示农业金融科技对印度可持续农业的关键作用，数据详实，对新兴经济体有借鉴意义。",[24],{"name":10,"url":6},[26,27,28,29],"数字农业","可持续农业","农业金融科技","印度农业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[],{"status":38,"locked":14,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":46},[43,51,58,63],{"code":44,"score":45,"supported":46,"title":47,"abstract":48,"tags":50},"I1",7,true,[],[26,49],"digital agriculture",[26],{"code":31,"score":52,"supported":46,"title":53,"abstract":54,"tags":57},6,[],[55,56],"粮食安全","food security",[],{"code":59,"score":21,"supported":14,"title":60,"abstract":61,"tags":62},"H8",[],[],[27],{"code":64,"score":21,"supported":14,"title":65,"abstract":66,"tags":67},"J3",[],[],[29],[69,70],"农业金融科技 可持续农业 印度农业 数字农业","农业金融科技 可持续农业","农业金融科技可持续农业印度农业数字农业-1744",3,"10.1002\u002Fsd.71617",{"doi":73,"openalex_id":75,"authors":76,"venue":10,"cited_by_count":85,"oa_url":9,"card":86,"direction":90,"ingested_from":92},"W7208720139",[77,80,82],{"name":78,"orcid":79},"Giridhari Mohanta","https:\u002F\u002Forcid.org\u002F0000-0002-6086-237X",{"name":81,"orcid":9},"Subhendu Patnaik",{"name":83,"orcid":84},"Ashutosh Dash","https:\u002F\u002Forcid.org\u002F0000-0001-6625-5004",0,{"tldr":87,"method":88,"finding":89,"direction":90,"opportunity":91},"研究印度农民采用农业金融科技、治理、情商对可持续生产力的影响，发现金融科技作用最强。","基于可持续生计框架，对650名印度农民进行问卷调查和统计分析。","农业金融科技采用是作物生产力的最强预测因子，并正向调节治理与生产力的关系。","数字乡村与农业信息化","可探索农业金融科技与治理机制在不同区域或作物类型中的交互作用，以及情商培训对技术采纳的长期影响。","openalex","2026-09-05T23:30:35.340989Z",{"total":52,"page":21,"page_size":52,"items":95},[96,171,240,307,356,414],{"id":97,"title":98,"url":99,"summary":100,"summary_zh":101,"content":9,"source_name":102,"source_url":99,"published_at":103,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":104,"sources":111,"tags":113,"primary_topic":117,"secondary_topics":118,"classification":119,"search_phrases":148,"slug":151,"view_count":85,"doi":152,"paper":153,"created_at":170},5491,"Analysis of the Impact of Digital Technology on the Resilience of Anhui’s Agricultural Industry Chain: Threshold Effect of Relative Grain Yield","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010656","Improving the resilience of the agricultural industry chain to frequent external shocks and the intertwined agricultural production risks is critical for ensuring national food security and sustainable agricultural development. Taking the 16 prefecture-level cities in Anhui Province—a major grain-producing region in China—as the research sample, two composite proxy indices were constructed in this study; namely, an agricultural industry chain resilience index built upon aggregate official statistics (rather than direct observed shock-response outcomes) and an index capturing broad rural digital development instead of purely agriculture-specific digital adoption. Based on balanced panel data from 2015 to 2024, two-way fixed-effect, mediation-effect, and panel-threshold models were adopted in this study to examine the association, mediating mechanism, regional heterogeneity, and threshold characteristics conditioned on the relative grain yield. The empirical results show that the rural-oriented digital development index is significantly and robustly positively associated with our composite agricultural industry chain resilience proxy. Although agricultural TFP exhibits a statistically detectable partial mediating pattern in this correlational relationship, the economic magnitude of this indirect channel is extremely modest. As such, this finding indicates a potential theoretical transmission pathway rather than providing definitive empirical evidence for a causal mechanism. The promotion effect exhibits clear regional heterogeneity, with the strongest effect in Northern Anhui, followed by Central Anhui, while the coefficient is positive but insignificant in Southern Anhui. Furthermore, a single-threshold effect of the relative grain yield is identified; that is, the positive association between rural-oriented digital development and resilience proxy cannot be statistically detected when the grain yield remains below the threshold. Only after the agricultural grain yield increases can digital-related rural development release its resilience-related empowering dividends. We note that both composite indices are subject to measurement constraints linked to the local agricultural economic scale and broad rural digital conditions; these limitations are further discussed in the paper. This study provides empirical correlational evidence for the implementation of differentiated digital agriculture policies in major grain-producing provinces.","提升农业产业链对频繁外部冲击与交织叠加的农业生产风险的韧性，对保障国家粮食安全和农业可持续发展至关重要。本研究以中国粮食主产省安徽省的16个地级市为研究样本，构建了两个复合代理指标：一是基于官方统计数据总量（而非直接观测的冲击—响应结果）构建的农业产业链韧性指数，二是刻画农村数字化广泛发展（而非单纯农业领域数字化应用）的指数。基于2015—2024年平衡面板数据，本研究采用双向固定效应模型、中介效应模型和面板门槛模型，考察二者之间的关联、中介机制、区域异质性以及以相对粮食产量为条件变量的门槛特征。实证结果表明，农村导向的数字化发展指数与本研究的农业产业链韧性复合代理指标之间存在显著且稳健的正向关联。尽管农业全要素生产率在这一相关关系中呈现出统计上可检测的部分中介模式，但该间接渠道的经济量级极为有限。因此，这一发现指示的是一种潜在的理论传导路径，而非为因果机制提供确凿的实证证据。其促进效应表现出明显的区域异质性，皖北效应最强，皖中次之，皖南系数为正但不显著。此外，还识别出相对粮食产量的单一门槛效应，即当粮食产量低于门槛值时，农村导向的数字化发展与韧性代理指标之间的正向关联在统计上无法被检测到；只有在农业粮食产量提高之后，数字相关农村发展才能释放其韧性赋能红利。我们注意到，两个复合指数均受到与地方农业经济规模和农村数字化总体状况相关的测度约束；这些局限性在文中进一步讨论。本研究为粮食主产省实施差异化数字农业政策提供了实证相关性证据。","Sustainability","2026-10-20T00:00:00Z",{"impact":105,"substance":106,"depth":107,"authority":108,"freshness":109,"relevant":21,"comment":110},16,20,17,13,8,"基于安徽16市面板数据的实证研究，方法规范、结论有区域异质性价值，但属省级学术论文，公共影响有限，适合作为主题页聚合素材而非头条精选。",[112],{"name":102,"url":99},[26,114,55,115,116],"数字乡村","农业产业链韧性","安徽农业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":120},{"candidates":121,"agricultural_evidence":46},[122,126,130,137,143],{"code":31,"score":45,"supported":46,"title":123,"abstract":124,"tags":125},[],[55,56],[55],{"code":44,"score":45,"supported":46,"title":127,"abstract":128,"tags":129},[],[26,49],[26],{"code":131,"score":52,"supported":46,"title":132,"abstract":133,"tags":136},"G",[],[134,135],"农村发展","rural development",[],{"code":138,"score":72,"supported":46,"title":139,"abstract":140,"tags":142},"J1",[],[141],"农业政策",[],{"code":144,"score":21,"supported":14,"title":145,"abstract":146,"tags":147},"I6",[],[],[114],[149,150],"安徽 农业产业链韧性 数字技术","安徽 粮食产量 数字乡村","安徽农业产业链韧性数字技术-5491","10.3390\u002Fsu182010656",{"doi":152,"openalex_id":154,"authors":155,"venue":102,"cited_by_count":85,"oa_url":99,"card":165,"direction":90,"ingested_from":92},"W7223005655",[156,159,161,163],{"name":157,"orcid":158},"Lan Ma","https:\u002F\u002Forcid.org\u002F0000-0003-2468-9917",{"name":160,"orcid":9},"Yuyan Li",{"name":162,"orcid":9},"张国亮",{"name":164,"orcid":9},"Yaoyao Li",{"tldr":166,"method":167,"finding":168,"direction":90,"opportunity":169},"以安徽16市面板数据检验农村数字发展对农业产业链韧性的影响及粮食产量门槛效应。","2015—2024年安徽16市平衡面板，双向固定效应、中介效应与面板门槛模型。","数字发展显著提升产业链韧性，存在粮食相对产量单门槛，且皖北效应最强、皖南不显著。","可细化数字技术指标、引入真实冲击响应韧性测度，并探究门槛形成机制与皖南失效原因。","2026-10-21T23:30:29.219265Z",{"id":172,"title":173,"url":174,"summary":175,"summary_zh":9,"content":9,"source_name":176,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":177,"is_selected":14,"score":178,"score_detail":179,"sources":182,"tags":187,"primary_topic":191,"secondary_topics":192,"classification":193,"search_phrases":223,"slug":226,"view_count":52,"doi":227,"paper":228,"created_at":239},4969,"Digital technology, agricultural resilience, and food security: A mini review","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.2002109\u002Ffull","Shen在《Frontiers in Sustainable Food Systems》(2026)发表的综述综合了国际数字农业文献与中国'数字经济—农业经济韧性'研究两条主线。提出三点发现:一是数字技术通过不同机制强化食物安全的四个维度——可获得性(生产力与投入效率)、可及性(市场信息与数字金融)、稳定性(溯源、预警与保险)、利用性(溯源、营养信息与移动支付);二是准自然实验证据显示数字基础设施、数字金融和人工智能主要通过社会化服务、土地流转、产业融合、人力资本而非仅'采纳'提升粮食生产与价值链韧性;三是收益分布不均,空间溢出方向取决于吸收能力、市场整合与要素流动性。","Frontiers in Sustainable Food Systems 2026",25,77,{"impact":18,"substance":180,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":181},21,"核心期刊综述，系统梳理数字技术强化粮食安全四维度的机制与准自然实验证据，兼具国际文献与中国经验，但发布日期不明、时效性偏弱，适合作为主题页深度聚合素材。",[183,184],{"name":176,"url":174},{"name":185,"url":186},"Frontiers in Sustainable Food Systems","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.2002109",[26,55,188,189,190],"农业韧性","空间溢出","数字金融",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":194},{"candidates":195,"agricultural_evidence":46},[196,201,208,213,218],{"code":31,"score":197,"supported":46,"title":198,"abstract":199,"tags":200},9,[56],[],[55],{"code":202,"score":52,"supported":46,"title":203,"abstract":204,"tags":207},"G2",[],[205,206],"土地流转","社会化服务",[],{"code":44,"score":209,"supported":46,"title":210,"abstract":211,"tags":212},4,[],[26],[26],{"code":214,"score":21,"supported":14,"title":215,"abstract":216,"tags":217},"G3",[],[],[190],{"code":219,"score":21,"supported":14,"title":220,"abstract":221,"tags":222},"I4",[],[],[189],[224,225],"Frontiers in Sustainable Food Systems 数字农业","数字技术 农业韧性 粮食安全","FrontiersinSustainableFoodSystems数字农业-4969","10.3389\u002Ffsufs.2026.2002109\u002Ffull",{"doi":227,"openalex_id":229,"authors":230,"venue":185,"cited_by_count":85,"oa_url":186,"card":234,"direction":90,"ingested_from":92},"W7223134273",[231],{"name":232,"orcid":233},"Yang Shen","https:\u002F\u002Forcid.org\u002F0000-0002-6781-6915",{"tldr":235,"method":236,"finding":237,"direction":90,"opportunity":238},"综述数字技术通过多机制强化食物安全四维度并提升农业韧性，但收益分布不均。","综合国际数字农业文献与中国数字经济—农业经济韧性研究两条主线。","数字技术经社会化服务、土地流转等提升韧性，收益不均且空间溢出取决于吸收能力。","可探究数字技术收益不均的成因及吸收能力、市场整合对空间溢出方向的调节机制。","2026-10-15T00:06:08.890950Z",{"id":241,"title":242,"url":243,"summary":244,"summary_zh":245,"content":9,"source_name":246,"source_url":243,"published_at":247,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":248,"score_detail":249,"sources":251,"tags":253,"primary_topic":257,"secondary_topics":258,"classification":259,"search_phrases":290,"slug":293,"view_count":21,"doi":294,"paper":295,"created_at":306},4600,"Optimization model of agricultural economic structure based on LSTM","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs42452-026-09594-x","With the development of artificial intelligence (AI) and agricultural big data, the adjustment of agricultural economic structure has shifted from empirical judgment to data-driven decision-making. This study uses the provincial panel data of agricultural economy in Hubei Province from 2010 to 2023 to construct a comprehensive framework of prediction and optimization. The forecasting layer uses the Long Short-Term Memory (LSTM) model to capture the dynamic relationship among agricultural GDP growth rate, main crop output, rural employment structure, agricultural product price index, financial subsidies and agricultural infrastructure investment. The optimization layer uses the prediction results as parameters. It defines three objectives. overall agricultural benefit, structural deviation and food security risk. It also includes restrictions on cultivated land area, budget, labor supply and food security. Based on these backgrounds, the adjustment scheme of agricultural economic structure was formulated. The results show that the Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and r of LSTM model are 0.32, 0.45 and 0.91 respectively. Its prediction performance is better than autoregressive moving average (ARIMA), back propagation neural network (BPNN), support vector regression (SVR) and random forest (RF). These findings show that the combination of multivariate collaborative forecasting and structural optimization constraints can improve the efficiency of agricultural resource allocation. This method also provides quantitative support for rural revitalization, food security and digital agriculture policy design.","随着人工智能（AI）与农业大数据的发展，农业经济结构调整已从经验判断转向数据驱动决策。本研究利用2010—2023年湖北省农业经济省级面板数据，构建了预测与优化的综合框架。预测层采用长短期记忆（LSTM）模型，捕捉农业GDP增长率、主要作物产量、农村就业结构、农产品价格指数、财政补贴与农业基础设施投资之间的动态关系。优化层以预测结果作为参数，设定三个目标：农业整体效益、结构性偏差与粮食安全风险，并纳入耕地面积、预算、劳动力供给与粮食安全等约束条件。在此基础上，制定农业经济结构调整方案。结果表明，LSTM模型的平均绝对误差（MAE）、均方根误差（RMSE）与r分别为0.32、0.45和0.91，其预测性能优于自回归移动平均（ARIMA）、反向传播神经网络（BPNN）、支持向量回归（SVR）与随机森林（RF）。这些发现表明，多变量协同预测与结构优化约束的结合能够提高农业资源配置效率。该方法也为乡村振兴、粮食安全与数字农业政策设计提供了量化支持。","Discover Applied Sciences","2026-10-09T00:00:00Z",75,{"impact":105,"substance":106,"depth":107,"authority":108,"freshness":197,"relevant":21,"comment":250},"基于湖北省级面板数据构建LSTM预测与多目标优化框架，方法对比充分、结论有量化支撑，对数字农业与乡村振兴政策设计具参考价值。",[252],{"name":246,"url":243},[26,254,55,255,256],"农业人工智能","农业经济结构","LSTM预测",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":260},{"candidates":261,"agricultural_evidence":46},[262,266,270,276,281,286],{"code":31,"score":45,"supported":46,"title":263,"abstract":264,"tags":265},[],[55,56],[55],{"code":44,"score":45,"supported":46,"title":267,"abstract":268,"tags":269},[],[26,49],[26],{"code":271,"score":209,"supported":46,"title":272,"abstract":273,"tags":275},"I2",[],[274],"artificial intelligence",[254],{"code":131,"score":72,"supported":46,"title":277,"abstract":278,"tags":280},[],[279],"乡村振兴",[],{"code":144,"score":72,"supported":46,"title":282,"abstract":283,"tags":285},[],[284],"农业大数据",[],{"code":138,"score":72,"supported":46,"title":287,"abstract":288,"tags":289},[],[141],[],[291,292],"湖北 农业经济结构 LSTM","农业经济结构 优化模型","湖北农业经济结构LSTM-4600","10.1007\u002Fs42452-026-09594-x",{"doi":294,"openalex_id":296,"authors":297,"venue":246,"cited_by_count":85,"oa_url":243,"card":300,"direction":90,"ingested_from":92},"W7221088951",[298],{"name":299,"orcid":9},"Xue Gong",{"tldr":301,"method":302,"finding":303,"direction":304,"opportunity":305},"用LSTM预测湖北农业经济指标，并构建多目标优化模型调整农业结构。","LSTM预测2010-2023年湖北面板数据，结合多目标优化与约束条件。","LSTM预测精度优于ARIMA、BPNN等，优化方案可提升农业资源配置效率。","农业人工智能与决策模型","可探索将LSTM与多目标优化耦合框架推广至其他省份或作物类型，并引入实时数据流。","2026-10-10T23:30:34.807708Z",{"id":308,"title":309,"url":310,"summary":311,"summary_zh":312,"content":9,"source_name":185,"source_url":310,"published_at":313,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":314,"score_detail":315,"sources":318,"tags":320,"primary_topic":324,"secondary_topics":325,"classification":326,"search_phrases":337,"slug":340,"view_count":20,"doi":341,"paper":342,"created_at":355},3532,"The contribution of edible insects to nutrition, diets and sustainable development in Zambia","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1941643","The use of wild food resources, particularly the practice of entomophagy (eating insects as food), has declined in many communities worldwide. This decline comes amid global increases in hunger and poverty especially in rural communities of developing (Global South) countries. Addressing the systemic issues of hunger and poverty can include the use of more diverse and integrated food production and supply systems that are ecologically sustainable. In sub-Saharan Africa where communities often rely on the harvesting of locally available wild food resources including edible insects, little research has been conducted to understand how entomophagy could help communities achieve food security. This study examines the potential contribution of edible insects to household food security, socioeconomic sustainability and sociocultural cohesion in a rural area of Central Province, Zambia. Data were collected from 139 rural household heads using questionnaires, supported by six focus group discussions with community members. Data were analyzed using descriptive statistics and thematic analysis. Results indicate that entomophagy has the potential to contribute to sustainable food systems through its consideration of local biophysical environmental conditions and resources, and community social and cultural values. However, the study found that there was a lack of integration of edible insect resources into mainstream economic and dietary frameworks, limiting their potential to contribute to sustainable livelihoods, food security and wellbeing.","野生食物资源的利用，尤其是食虫实践（将昆虫作为食物食用），在全球许多社区中已经衰退。这一衰退发生在全球饥饿与贫困加剧的背景下，尤其是在发展中国家（全球南方）的农村社区。解决饥饿与贫困的系统性问题可以包括采用更加多样化和综合化的食物生产与供应体系，这些体系具有生态可持续性。在撒哈拉以南非洲，社区往往依赖采集当地可获得的野生食物资源，包括可食用昆虫，但鲜有研究探讨食虫如何帮助社区实现粮食安全。本研究考察了可食用昆虫在赞比亚中央省某农村地区对家庭粮食安全、社会经济可持续性及社会文化凝聚力的潜在贡献。数据通过问卷从139名农村家庭户主处收集，并以与社区成员进行的六次焦点小组讨论作为辅助。数据采用描述性统计和主题分析进行分析。结果表明，食虫通过考虑当地生物物理环境条件和资源以及社区社会文化价值，具有促进可持续食物体系的潜力。然而，研究发现可食用昆虫资源缺乏被纳入主流经济和饮食框架，限制了其促进可持续生计、粮食安全和福祉的潜力。","2026-09-25T00:00:00Z",62,{"impact":109,"substance":17,"depth":316,"authority":108,"freshness":109,"relevant":21,"comment":317},15,"基于赞比亚农村139户调查的实证研究，揭示食用昆虫未被纳入主流经济与膳食框架，对全球南方食物系统研究有参考价值，但地域性强、公共影响有限。",[319],{"name":185,"url":310},[55,27,321,322,323],"赞比亚","农村生计","食用昆虫",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":327},{"candidates":328,"agricultural_evidence":46},[329,333],{"code":31,"score":45,"supported":46,"title":330,"abstract":331,"tags":332},[],[55,56],[55],{"code":59,"score":21,"supported":14,"title":334,"abstract":335,"tags":336},[],[],[27],[338,339],"赞比亚 食用昆虫 粮食安全","可持续农业 农村生计 粮食安全 食用昆虫","赞比亚食用昆虫粮食安全-3532","10.3389\u002Ffsufs.2026.1941643",{"doi":341,"openalex_id":343,"authors":344,"venue":185,"cited_by_count":85,"oa_url":310,"card":349,"direction":353,"ingested_from":92},"W7214362702",[345,347],{"name":346,"orcid":9},"John Nyawali",{"name":348,"orcid":9},"Jasper Knight",{"tldr":350,"method":351,"finding":352,"direction":353,"opportunity":354},"研究赞比亚农村食用昆虫对粮食安全、社会经济可持续性和社会文化凝聚力的潜在贡献。","对139个农户问卷调查，辅以6组焦点小组讨论，用描述统计和主题分析。","食用昆虫可促进可持续食物系统，但未融入主流经济和饮食框架，限制其潜力。","农业绿色发展与碳","可探索将食用昆虫纳入农业信息化平台与政策框架，以提升农村粮食安全与生计。","2026-09-26T23:30:07.633189Z",{"id":357,"title":358,"url":359,"summary":360,"summary_zh":361,"content":9,"source_name":362,"source_url":359,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":363,"score_detail":364,"sources":367,"tags":369,"primary_topic":372,"secondary_topics":373,"classification":374,"search_phrases":391,"slug":394,"view_count":72,"doi":395,"paper":396,"created_at":413},1746,"Digitization in Agriculture and Food Security in Sub-Saharan Africa: A Systematic Review","https:\u002F\u002Fdoi.org\u002F10.70382\u002Fajbar.v13i1.032","Digitization is increasingly recognized as a transformative force in Sub-Saharan Africa’s (SSA) agricultural sector, with significant implications for productivity enhancement and food security improvement. This systematic review examines the role of digital technologies in agriculture, focusing on their contributions to food availability, accessibility, utilization, and stability across SSA. The study adopts a systematic literature review (SLR) methodology, drawing evidence from peer-reviewed journals and reports published by institutions such as the World Bank, FAO, IFAD, and the African Development Bank between 2015 and 2025. Findings reveal that digital agriculture interventions, including mobile advisory systems, precision agriculture tools, digital financial services, and e-market platforms, significantly improve agricultural productivity, reduce transaction costs, strengthen market integration, and enhance farmers’ access to financial services. However, adoption remains uneven due to infrastructural deficits, digital illiteracy, gender inequality, and weak institutional frameworks. The review concludes that while digitization holds strong potential to transform food systems in SSA, its effectiveness depends on enabling environments such as infrastructure development, inclusive policies, and capacity building. The study recommends strengthening digital infrastructure, improving literacy programs, and expanding public–private partnerships to accelerate inclusive digital transformation in agriculture.","数字化日益被视为撒哈拉以南非洲（SSA）农业部门的变革性力量，对提高生产力和改善粮食安全具有重大意义。本系统综述考察了数字技术在农业中的作用，重点关注其对撒哈拉以南非洲粮食可得性、可及性、利用和稳定性的贡献。研究采用系统文献综述（SLR）方法，借鉴了2015年至2025年间同行评审期刊以及世界银行、联合国粮农组织（FAO）、国际农业发展基金（IFAD）和非洲开发银行等机构发布的报告中的证据。研究结果表明，包括移动咨询系统、精准农业工具、数字金融服务和电子市场平台在内的数字农业干预措施，显著提高了农业生产力，降低了交易成本，加强了市场整合，并增强了农民获取金融服务的机会。然而，由于基础设施不足、数字文盲、性别不平等和制度框架薄弱，数字技术的采用仍不均衡。本综述得出结论：尽管数字化在改变撒哈拉以南非洲粮食系统方面具有巨大潜力，但其有效性取决于有利环境，如基础设施发展、包容性政策和能力建设。研究建议加强数字基础设施建设，改善扫盲计划，并扩大公私伙伴关系，以加速农业领域的包容性数字化转型。","Journal of Biotechnology and Agricultural Research",70,{"impact":17,"substance":106,"depth":17,"authority":365,"freshness":20,"relevant":21,"comment":366},12,"系统综述非洲数字农业对粮食安全的影响，证据扎实，但时效性低，适合精选。",[368],{"name":362,"url":359},[26,370,55,371],"系统综述","非洲农业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":375},{"candidates":376,"agricultural_evidence":46},[377,381,387],{"code":31,"score":316,"supported":46,"title":378,"abstract":379,"tags":380},[56],[55,56],[55],{"code":44,"score":13,"supported":46,"title":382,"abstract":383,"tags":386},[],[384,26,385,49],"精准农业","precision agriculture",[26],{"code":64,"score":21,"supported":14,"title":388,"abstract":389,"tags":390},[],[],[371],[392,393],"数字农业 粮食安全 系统综述 非洲农业","数字农业 粮食安全","数字农业粮食安全系统综述非洲农业-1746","10.70382\u002Fajbar.v13i1.032",{"doi":395,"openalex_id":397,"authors":398,"venue":362,"cited_by_count":85,"oa_url":359,"card":408,"direction":90,"ingested_from":92},"W7208759473",[399,402,404,406],{"name":400,"orcid":401},"Funso O. Alabuja","https:\u002F\u002Forcid.org\u002F0000-0002-7579-1041",{"name":403,"orcid":9},"Ejiofor D. Chukwubuike",{"name":405,"orcid":9},"Lateefah O. Lama-Abdul",{"name":407,"orcid":9},"Olabiyi Fatimah Adebisi",{"tldr":409,"method":410,"finding":411,"direction":90,"opportunity":412},"系统综述撒哈拉以南非洲农业数字化对粮食安全的影响，发现其提升生产力但采用不均。","系统文献综述，分析2015-2025年同行评审文献及国际机构报告。","数字农业提高生产力、降低交易成本，但受基础设施、数字素养等制约。","可研究数字农业采用不均的驱动因素，如性别差异、制度障碍，探索包容性数字化路径。","2026-09-05T23:30:35.595189Z",{"id":415,"title":416,"url":417,"summary":418,"summary_zh":419,"content":9,"source_name":185,"source_url":417,"published_at":420,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":421,"score_detail":422,"sources":424,"tags":426,"primary_topic":431,"secondary_topics":432,"classification":433,"search_phrases":465,"slug":468,"view_count":21,"doi":469,"paper":470,"created_at":483},1284,"Digital agricultural technologies and sustainable agri-food system transformations: a review of global debates and Kenyan realities","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1890516","Digital agriculture is widely promoted as a transformative pathway to achieving food security, productivity, and climate resilience across agri-food systems. Yet in practice, its implementation often reflects conflicting priorities, uneven adoption, and unresolved questions around inclusion, equity, and environmental sustainability. This paper examines how digital agriculture is unfolding in Kenya, one of the most active hubs of agri-digital innovation in sub-Saharan Africa, through a structured review of global academic literature, national policies, and emerging digital initiatives. Framed against broader debates on sustainable agri-food system transformations, the study investigates the types of agricultural development trajectories digital technologies currently support, the ways these technologies are shaped by and involve different actors, and the implications for equity, power, and environmental outcomes. Findings reveal a strong emphasis in Kenyan policies on productivity and commercialization, with digital technologies frequently embedded in efficiency-oriented and market-driven models. However, the review also identifies promising but under-recognized initiatives described as “seeds of change” that reflect inclusive, participatory, and agroecological digital practices. These include platforms that integrate local knowledge, prioritize the needs of smallholder farmers, and redistribute power within agri-food systems. Despite their potential, such efforts remain marginal to dominant science, technology, and innovation strategies due to regulatory gaps, fragmented governance, and limited institutional support. This study contributes to ongoing debates on the direction of agri-food system transformations by aligning Kenya's experiences with global narratives and identifying pathways toward more equitable and sustainable digital futures. It proposes a research and practice agenda to support the co-design and scaling of inclusive digital tools, while calling for institutional reforms to ensure digitalisation promotes equity, resilience, and farmer agency. The paper argues that realizing the transformative potential of digital agriculture requires enabling governance structures, iterative learning mechanisms, and inclusive innovation ecosystems.","数字农业被广泛宣传为实现粮食安全、提高生产力和增强农业粮食系统气候韧性的变革性路径。然而在实践中，其落地实施往往反映出相互冲突的优先事项、不均衡的采纳状况，以及围绕包容性、公平性和环境可持续性尚未解决的关键问题。本文通过对全球学术文献、国家政策和新兴数字倡议的结构化综述，考察数字农业在撒哈拉以南非洲最活跃的农业数字创新中心之一——肯尼亚的推进情况。在可持续农业粮食系统转型的更广泛辩论框架下，本研究探讨了数字技术当前所支撑的农业发展轨迹类型、这些技术如何被不同行动者塑造并吸纳其参与，以及对公平、权力和环境结果的影响。研究发现，肯尼亚政策高度强调生产力和商业化，数字技术往往嵌入以效率为导向和市场驱动的模式之中。然而，综述也识别出一些有前景但未获充分认可的倡议，可称之为“变革的种子”，它们体现了包容性、参与式和农业生态学的数字实践。这些倡议包括整合地方知识、优先考虑小农需求并重新分配农业粮食系统内权力的平台。尽管具有潜力，但由于监管空白、治理碎片化和制度支持有限，这些努力在主流科学、技术和创新战略中仍处于边缘地位。本研究通过将肯尼亚经验与全球叙事相对接，并识别通往更加公平和可持续的数字未来的路径，为当前关于农业粮食系统转型方向的辩论作出贡献。研究提出了一项研究与实践议程，以支持包容性数字工具的共同设计和规模化推广，同时呼吁进行制度性改革，确保数字化促进公平、韧性和农民自主权。本文认为，实现数字农业的变革潜力需要有利的治理结构、迭代学习机制和包容性创新生态系统。","2026-08-31T00:00:00Z",71,{"impact":17,"substance":106,"depth":17,"authority":108,"freshness":20,"relevant":21,"comment":423},"系统综述数字农业在肯尼亚的实践与争议，提出包容性转型路径，对全球南方有参考价值。",[425],{"name":185,"url":417},[26,427,428,429,430],"智慧农业","肯尼亚","农业转型","小农",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":434},{"candidates":435,"agricultural_evidence":46},[436,440,444,449,455,461],{"code":44,"score":109,"supported":46,"title":437,"abstract":438,"tags":439},[],[26,49],[26,427],{"code":31,"score":52,"supported":46,"title":441,"abstract":442,"tags":443},[],[55,56],[],{"code":202,"score":72,"supported":46,"title":445,"abstract":446,"tags":448},[],[447],"smallholder",[],{"code":450,"score":72,"supported":46,"title":451,"abstract":452,"tags":454},"H6",[],[453],"农业生态",[],{"code":456,"score":72,"supported":46,"title":457,"abstract":458,"tags":460},"H7",[],[459],"climate resilience",[],{"code":59,"score":72,"supported":46,"title":462,"abstract":463,"tags":464},[],[27],[],[466,467],"农业转型 数字农业 智慧农业 肯尼亚","农业转型 数字农业","农业转型数字农业智慧农业肯尼亚-1284","10.3389\u002Ffsufs.2026.1890516",{"doi":469,"openalex_id":471,"authors":472,"venue":185,"cited_by_count":85,"oa_url":476,"card":477,"direction":482,"ingested_from":92},"W7204761864",[473],{"name":474,"orcid":475},"Nora Ndege","https:\u002F\u002Forcid.org\u002F0000-0003-2525-9871","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1890516\u002Fpdf",{"tldr":478,"method":479,"finding":480,"direction":90,"opportunity":481},"本文通过肯尼亚案例，审视数字农业在农业食品系统转型中的实际作用与争议。","结构化综述全球文献、国家政策与新兴数字倡议，结合肯尼亚案例。","肯尼亚数字农业侧重效率与市场化，但存在包容性、参与式及生态农业的“变革种子”倡议，却受治理和制度限制","可研究如何通过治理改革和制度支持，将边缘化的包容性数字实践纳入主流，实现公平可持续的农业转型。","智慧农业 \u002F 农业物联网","2026-09-01T23:30:07.461642Z"]