[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-36":3,"related-36":60},{"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":22,"tags":24,"primary_topic":28,"secondary_topics":34,"classification":35,"search_phrases":53,"slug":56,"view_count":57,"doi":58,"paper":8,"created_at":59},36,"撒哈拉以南非洲农业创新扩散仍偏重横向推广：基于系统综述的研究议程","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1891557\u002Fabstract","按PRISMA范围综述方法，从2,070项研究中筛选2016—2026年间的54项实证研究。结果显示86%研究集中在2016—2021年发布；地理分布以肯尼亚（28%）、埃塞俄比亚（12%）和多国SSA研究（16%）为主；方法偏量化，随机对照试验占47%、比较调查26%、面板数据16%；65%研究聚焦农资与增产技术，仅9%关注价值链或市场导向创新；70%研究将扩展框架为'横向扩散'。促进因素以信息\u002F推广\u002F社会网络（60%）和金融可及性（30%）为主，主要障碍为资金约束（23%）、可及性（21%）和知识缺口（16%）；仅不足15%研究显式考虑系统维度，提示需从扩散中心论转向系统导向整合方法。",null,"Frontiers in Sustainable Food Systems · 2026-07-22 接收","2026-07-22T00:00:00Z","论文",10,false,73,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,13,2,1,"系统综述方法规范，数据详实，对非洲农业推广模式有深刻洞察，但时效性差且地域远离中国，影响有限。",[23],{"name":9,"url":6},[25,26,27],"农业技术推广","系统综述","撒哈拉以南非洲",{"code":29,"slug":30,"name":31,"path":32,"parent_code":33},"J3","global-agriculture","国际合作与全球农业","\u002Ftopic\u002Fpolicy\u002Fglobal-agriculture","J",[],{"status":36,"locked":13,"version":37,"method":38,"evidence":39},"classified","2026-10-22.2","rules",{"candidates":40,"agricultural_evidence":43},[41,48],{"code":29,"score":42,"supported":43,"title":44,"abstract":46,"tags":47},9,true,[45],"非洲农业",[],[27],{"code":49,"score":20,"supported":13,"title":50,"abstract":51,"tags":52},"G1",[],[],[25],[54,55],"撒哈拉以南非洲 农业技术推广 系统综述","撒哈拉以南非洲 农业技术推广","撒哈拉以南非洲农业技术推广系统综述-36",11,"10.3389\u002Ffsufs.2026.1891557\u002Fabstract","2026-07-28T03:05:27.127667Z",{"total":61,"page":20,"page_size":61,"items":62},6,[63,121,190,239,318,385],{"id":64,"title":65,"url":66,"summary":67,"summary_zh":8,"content":68,"source_name":69,"source_url":8,"published_at":70,"category":71,"cover_url":8,"hotness":12,"is_selected":13,"score":72,"score_detail":73,"sources":77,"tags":79,"primary_topic":85,"secondary_topics":86,"classification":87,"search_phrases":116,"slug":119,"view_count":61,"doi":8,"paper":8,"created_at":120},4133,"2026中国农学会年会暨第十三届中国现代农业发展论坛将于11月在中山大学举办——广东省农科院协办","https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-10\u002F03\u002Fcontent_591575.html","2026中国农学会年会暨第十三届中国现代农业发展论坛将于11月26日—28日在中山大学广州校区举办，主题为「人工智能+」农业农村现代化。中国农学会、农业农村部人力资源开发中心为主办单位，中山大学承办，广东省农业科学院等协办。会议将发布《2026全球农业科技热点前沿》《2026中国涉农企业创新报告》《2026农业领域重大科学问题产业技术问题》《2024—2026基础农学学科发展报告》《2026中国农业重大新技术新产品新场景》《2026年度农业「火花技术」》等成果。","![Image 2](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Fshare_logo.jpg)\n\n[![Image 3](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Flogo.png)](http:\u002F\u002Fwww.stdaily.com\u002F)\n\n*   [时政](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fszxw\u002Fnode_357.html)\n*   [热点](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Frdxw\u002Fnode_327.html)\n*   [政务](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fzwxw\u002Fnode_362.html)\n*   [深瞳](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fstbd\u002Fnode_434.html)\n*   [访谈](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Ffangtan\u002Fnode_441.html)\n*   [视频](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fspxw\u002Fnode_701.html)\n*   [国际](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgjxw\u002Fnode_381.html)\n*   [地方](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fdfxw\u002Fnode_368.html)\n*   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5](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Fimg\u002F20240301dzv.png)0\n\n[](javascript:; \"新浪微博\")[](javascript:; \"微信\")\n\n科技日报记者 马爱平\n\n记者获悉，2026中国农学会年会暨第十三届中国现代农业发展论坛将于11月26日—28日在中山大学广州校区举办。\n\n本次会议主题为“人工智能+”农业农村现代化。中国农学会、农业农村部人力资源开发中心为主办单位，中山大学为承办单位，中国作物学会、中国土壤学会、华南农业大学、广东省农业科学院、仲恺农业工程学院为协办单位。\n\n据悉，本次会议主会场包括主旨报告与院士报告、成果发布、新场景路演、前沿对话、创新成果展示等活动；分会场包括若干场专题活动。院士专家将围绕世界科技前沿发展态势、人工智能赋能农业农村各领域发展、各专业领域最新研究进展等作前沿报告。会议将发布《2026全球农业科技热点前沿》《2026中国涉农企业创新报告》《2026农业领域重大科学问题产业技术问题》《2024—2026基础农学学科发展报告》《2026中国农业重大新技术新产品新场景》《2026年度农业“火花技术”》等成果，举行学会英文科技新刊首发式。\n\n据介绍，本次会议将选择具有典型意义和示范引领作用，由企业主导的2026农业新场景进行现场路演，突出企业科技创新主体地位。聚焦人工智能农业深度应用，特邀企业、金融、教育、科研等领域的代表对话交流，分享人工智能赋能农业农村现代化的实际案例和前沿思考，促进人工智能与农业发展相结合。设置提升农业综合生产能力和质量效益、强化农业科技装备支撑、推进农业绿色低碳转型与可持续发展、践行大食物观构建多元化食物供给体系、和美乡村建设与全球农业合作以及夯实乡村人才基础、提升科学传播效能等6大板块31场专题活动。设置农业科技创新成果展示专区，采用展板与小型实物相结合的方式集中展示有代表性的农业科技成果，包括近年来入选的农业新技术新产品新场景、农业主导品种主推技术、重大引领性技术、“火花技术”等部分重大科技成果以及公开征集的相关成果，助推农业科技成果高效转化应用。\n\n责任编辑：陈可轩\n\n相关稿件：\n\n![Image 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3.暂不升级，继续浏览\n\n[继续浏览](javascript:;)","科技日报·2026年10月3日","2026-10-03T00:00:00Z","报道",79,{"impact":74,"substance":16,"depth":75,"authority":75,"freshness":42,"relevant":20,"comment":76},24,14,"全国性农业科技年会预告，主题聚焦人工智能赋能农业农村，含成果发布与路演安排，信息量足、时效新，值得进入每日精选。",[78],{"name":69,"url":66},[80,81,82,83,84],"智慧农业","农业人工智能","成果转化","农业科技","学术会议",{"code":29,"slug":30,"name":31,"path":32,"parent_code":33},[],{"status":36,"locked":13,"version":37,"method":38,"evidence":88},{"candidates":89,"agricultural_evidence":43},[90,97,102,106,111],{"code":91,"score":92,"supported":43,"title":93,"abstract":94,"tags":96},"J2",3,[],[95],"农业农村现代化",[],{"code":29,"score":92,"supported":43,"title":98,"abstract":99,"tags":101},[],[100],"全球农业",[],{"code":49,"score":20,"supported":13,"title":103,"abstract":104,"tags":105},[],[],[82],{"code":107,"score":20,"supported":13,"title":108,"abstract":109,"tags":110},"I1",[],[],[80],{"code":112,"score":20,"supported":13,"title":113,"abstract":114,"tags":115},"I2",[],[],[81],[117,118],"中国农学会年会 中山大学","人工智能 农业农村现代化 论坛","中国农学会年会中山大学-4133","2026-10-04T00:09:07.062175Z",{"id":122,"title":123,"url":124,"summary":125,"summary_zh":126,"content":8,"source_name":127,"source_url":124,"published_at":128,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":72,"score_detail":129,"sources":132,"tags":134,"primary_topic":140,"secondary_topics":141,"classification":142,"search_phrases":163,"slug":166,"view_count":92,"doi":167,"paper":168,"created_at":189},2763,"How do productive service inputs enhance a country’s position in the global agricultural value chain?","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1887232","Introduction The ongoing restructuring of global agricultural value chains has reshaped the pattern of international agricultural competition. Optimizing countries’ positional structure within production networks and improving domestic value added capture capacity have emerged as central issues for advancing highquality agricultural development across economies. As modern productive services gradually penetrate agricultural production systems, they have evolved into critical endogenous drivers for optimizing agricultural factor allocation and promoting value chain upgrading. Methods Based on panel data of 55 economies from 2001 to 2020, this study employs fixed-effects models, mediation models, and moderation models to systematically explore how productive service inputs affect a country’s positions in the global agricultural value chain and clarify the underlying influencing mechanisms. Results The empirical results show that productive service input significantly improves a country’s agricultural GVC status. Mechanism tests confirm that productive services empower GVC upgrading through two core pathways: improving agricultural labor productivity and facilitating technological innovation. Meanwhile, the promotional effect is positively strengthened by increasing technical complexity in agricultural exports and human capital accumulation. Further heterogeneity analysis verifies evident differences in the empowerment effect across economic development levels, time periods, and GVC participation patterns. Discussion This study concludes that accelerating high quality productive service inputs and matching them with advanced human capital and export technology endowments provides a vital feasible path for countries to enhance their competitive advantages and achieve highvalue upgrading in global agricultural value chains.","引言 全球农业价值链的持续重构重塑了国际农业竞争格局。优化各国在生产网络中的位置结构、提升国内附加值捕获能力，已成为推动各经济体农业高质量发展的核心议题。随着现代生产性服务逐步渗透农业生产体系，其已演变为优化农业要素配置、促进价值链升级的关键内生驱动力。方法 本研究基于2001年至2020年55个经济体的面板数据，采用固定效应模型、中介模型和调节模型，系统探讨生产性服务投入如何影响一国在全球农业价值链中的位置，并阐明其潜在影响机制。结果 实证结果表明，生产性服务投入显著提升了一国的农业全球价值链地位。机制检验证实，生产性服务通过两条核心路径赋能价值链升级：提升农业劳动生产率与促进技术创新。同时，农业出口技术复杂度和人力资本积累的提高正向强化了这一促进效应。进一步的异质性分析验证了赋能效应在经济发展水平、时间段和全球价值链参与模式上存在明显差异。讨论 本研究认为，加快高质量生产性服务投入，并使其与先进人力资本和出口技术禀赋相匹配，为各国增强竞争优势、实现全球农业价值链高价值升级提供了重要的可行路径。","Frontiers in Sustainable Food Systems","2026-09-16T00:00:00Z",{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":130,"relevant":20,"comment":131},8,"基于55个经济体20年面板数据的实证研究，揭示生产性服务投入通过提升劳动生产率与技术创新推动农业全球价值链升级，结论对农业高质量发展有参考价值。",[133],{"name":127,"url":124},[135,136,137,138,139],"农业科技创新","农产品出口","农业价值链","农业生产性服务","农业人力资本",{"code":29,"slug":30,"name":31,"path":32,"parent_code":33},[],{"status":36,"locked":13,"version":37,"method":38,"evidence":143},{"candidates":144,"agricultural_evidence":43},[145,149,154,159],{"code":29,"score":92,"supported":43,"title":146,"abstract":147,"tags":148},[],[100],[],{"code":150,"score":20,"supported":13,"title":151,"abstract":152,"tags":153},"E5",[],[],[136],{"code":155,"score":20,"supported":13,"title":156,"abstract":157,"tags":158},"G3",[],[],[137],{"code":91,"score":20,"supported":13,"title":160,"abstract":161,"tags":162},[],[],[135],[164,165],"农业生产性服务 农业人力资本 农业科技创新 农业价值链","农业生产性服务 农业人力资本","农业生产性服务农业人力资本农业科技创新农业价值链-2763","10.3389\u002Ffsufs.2026.1887232",{"doi":167,"openalex_id":169,"authors":170,"venue":127,"cited_by_count":180,"oa_url":181,"card":182,"direction":186,"ingested_from":188},"W7213434328",[171,173,175,177],{"name":172,"orcid":8},"Longling Li",{"name":174,"orcid":8},"Xin Bai",{"name":176,"orcid":8},"Yuhan Ren",{"name":178,"orcid":179},"Qiang Jin","https:\u002F\u002Forcid.org\u002F0009-0005-1581-1759",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1887232\u002Fpdf",{"tldr":183,"method":184,"finding":185,"direction":186,"opportunity":187},"基于55个经济体面板数据，检验生产性服务投入如何提升一国全球农业价值链地位。","2001-2020年55经济体面板数据，固定效应、中介与调节模型。","生产性服务投入通过提升农业劳动生产率和促进技术创新显著提升农业GVC地位。","数字乡村与农业信息化","可探究数字农业服务投入对GVC地位的异质性影响，及与发展中国家数字基础设施的匹配机制。","openalex","2026-09-17T23:30:08.429911Z",{"id":191,"title":192,"url":193,"summary":194,"summary_zh":8,"content":195,"source_name":196,"source_url":8,"published_at":197,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":198,"score_detail":199,"sources":204,"tags":206,"primary_topic":211,"secondary_topics":216,"classification":218,"search_phrases":234,"slug":237,"view_count":19,"doi":8,"paper":8,"created_at":238},1149,"基于FAO全球农业数据的机器学习作物产量预测:线性回归 随机森林 XGBoost比较研究","https:\u002F\u002Fwww.ijfmr.com\u002Fresearch-paper.php?id=86667","International Journal for Multidisciplinary Research (IJFMR) 2026年第8卷第4期(2026-08-28发表):基于FAO全球农业数据集(覆盖212个国家和地区、10种主要作物、1961-2016年56,717条记录),比较线性回归、随机森林、XGBoost三种机器学习模型。80:20 train-test split,Random Forest取得最佳性能:R²=0.9586、MAE=6724.19 hg\u002Fha、RMSE=13829.60 hg\u002Fha;XGBoost: R²=0.8115;线性回归:R²=0.0608。特征重要性分析识别作物类型(Item Code)为最具影响力预测因子,其次是地理区域和时间因素。[注:本论文使用2016年截止数据,模型泛化能力可能存在边界]","**Call for Paper Volume 8, Issue 4 (July-August 2026)**[Submit your research](https:\u002F\u002Fwww.ijfmr.com\u002Fsubmit-research-paper.php)**before last 3 days of August** to publish your research paper in the issue of July-August.\n\n| Author(s) | Abdulhafedh Mohammed Alsarfi, Archana Harsing Sable, Aymen Mosleh Al-Hejri |\n| --- |\n| Country | India |\n| Abstract | Accurate crop yield prediction is essential for food security planning, agricultural policy-making, and sustainable farming management. This study develops and compares three machine learning models Linear Regression, Random Forest, and XGBoost for predicting crop yield using the FAO (Food and Agriculture Organization) global agricultural dataset. The dataset spans 212 countries and regions, covers 10 major crop types, and encompasses the period 1961–2016, comprising 56,717 records. Following a systematic preprocessing pipeline including missing value verification, duplicate removal, and label encoding, all models were trained and evaluated under identical experimental conditions using an 80:20 train-test split (45,373 training \u002F 11,344 testing records). Performance was assessed using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and the coefficient of determination (R²). Random Forest achieved the best predictive performance with R² = 0.9586, MAE = 6,724.19 hg\u002Fha, and RMSE = 13,829.60 hg\u002Fha. XGBoost demonstrated competitive performance with R² = 0.8115, while Linear Regression showed limited effectiveness with R² = 0.0608, confirming its inability to model the nonlinear dynamics of global agricultural data. Feature importance analysis identified Item Code (crop type) as the most influential predictor, followed by geographic region and temporal factors. These findings confirm that ensemble learning methods, particularly Random Forest, are well-suited for modelling complex agricultural yield patterns at global scale. |\n| Keywords | Crop yield prediction1; Machine learning2; Random Forest3; XGBoost4; Linear Regression5; FAO dataset6; Precision agriculture7; Feature importance8; Food security9. |\n| Field | Computer |\n| Published In | [Volume 8, Issue 4, July-August 2026](https:\u002F\u002Fwww.ijfmr.com\u002Fpublication-archive.php?volume=8&issue=4#papers-index) |\n| Published On | 2026-08-28 |\n| DOI | [https:\u002F\u002Fdoi.org\u002F10.36948\u002Fijfmr.2026.v08i04.86667](https:\u002F\u002Fdoi.org\u002F10.36948\u002Fijfmr.2026.v08i04.86667) |\n\n#### Share this\n\n![Image 1](https:\u002F\u002Fwww.ijfmr.com\u002Fimages\u002Floading.gif)","IJFMR 2026, 8(4)","2026-08-28T00:00:00Z",65,{"impact":200,"substance":201,"depth":16,"authority":130,"freshness":202,"relevant":20,"comment":203},12,20,7,"基于FAO全球数据比较三种机器学习模型预测作物产量，数据规模大，方法系统，结论可靠，对农业信息化研究有参考价值，但来源期刊权威性一般。",[205],{"name":196,"url":193},[207,208,209,210],"机器学习","随机森林","作物产量预测","FAO数据",{"code":112,"slug":212,"name":213,"path":214,"parent_code":215},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[217],{"code":29,"slug":30,"name":31,"path":32,"parent_code":33},{"status":36,"locked":13,"version":37,"method":38,"evidence":219},{"candidates":220,"agricultural_evidence":43},[221,225,229],{"code":112,"score":18,"supported":43,"title":222,"abstract":223,"tags":224},[207],[207],[207,208],{"code":29,"score":57,"supported":43,"title":226,"abstract":227,"tags":228},[100],[100],[],{"code":230,"score":20,"supported":13,"title":231,"abstract":232,"tags":233},"I3",[],[],[209],[235,236],"作物产量预测 机器学习 随机森林 FAO数据","作物产量预测 机器学习","作物产量预测机器学习随机森林FAO数据-1149","2026-08-31T00:08:57.364320Z",{"id":240,"title":241,"url":242,"summary":243,"summary_zh":244,"content":8,"source_name":245,"source_url":242,"published_at":246,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":247,"score_detail":248,"sources":251,"tags":253,"primary_topic":8,"secondary_topics":257,"classification":258,"search_phrases":295,"slug":298,"view_count":19,"doi":299,"paper":300,"created_at":317},3538,"Rethinking ecological balance: An assessment of farmers' ecological knowledge and agrochemical use in the Sissala East Municipality, Ghana","https:\u002F\u002Fdoi.org\u002F10.1080\u002F27658511.2026.2736409","Agriculture in Sub-Saharan Africa is central to livelihoods, but agrochemical use poses environmental risks. This study examined the links between farmers' ecological knowledge, agrochemical use and farm management practices through a mixed-methods design involving 382 household surveys, 17 key informant interviews and 5 focus group discussions. Quantitatively, data were analysed using chi-square tests, while qualitative data were thematically analysed. The findings revealed that farmers understood the ecological risks of fertilisers, herbicides, insecticides and fungicides, with management decisions significantly shaped by farmers education, extension service access and farming experience (p ≤ 0.05). Despite farmers awareness of sustainable farming practices such as agroforestry, climate-smart agriculture and manure application, adoption remained low. The study concludes that while farmers possess adequate ecological knowledge, a gap exists between awareness and practice. The study recommends empowering farmers with training, skills and decision-making support to enhance adoption of sustainable agroecological farming systems and reduce dependence on synthetic inputs.","撒哈拉以南非洲的农业是生计的核心，但农用化学品的使用带来了环境风险。本研究通过混合方法设计，结合382份农户调查、17次关键知情人访谈和5次焦点小组讨论，考察了农民生态知识、农用化学品使用与农场管理实践之间的联系。定量数据采用卡方检验分析，定性数据则进行主题分析。研究发现，农民了解化肥、除草剂、杀虫剂和杀菌剂的生态风险，其管理决策显著受农民教育程度、推广服务获取和务农经验的影响（p ≤ 0.05）。尽管农民对农林业、气候智能型农业和施用粪肥等可持续农业实践有所认识，但采用率仍然较低。研究认为，虽然农民具备足够的生态知识，但认知与实践之间存在差距。研究建议通过培训、技能培养和决策支持赋能农民，以促进可持续农业生态耕作系统的采用，并减少对合成投入品的依赖。","Sustainable Environment","2026-09-25T00:00:00Z",64,{"impact":130,"substance":201,"depth":249,"authority":200,"freshness":130,"relevant":20,"comment":250},16,"基于加纳382户调查的混合方法研究，揭示农户生态认知与绿色实践之间的知行落差，对农业绿色转型与推广服务有参考价值，但属区域案例、影响层级有限。",[252],{"name":245,"url":242},[25,27,254,255,256],"农药减量","生态农业","农户认知",[],{"status":259,"locked":13,"version":37,"method":38,"evidence":260},"needs_review",{"candidates":261,"agricultural_evidence":43,"reason":294},[262,269,275,281,286,290],{"code":263,"score":264,"supported":43,"title":265,"abstract":266,"tags":268},"F4",4,[],[267],"除草",[254],{"code":270,"score":264,"supported":43,"title":271,"abstract":272,"tags":274},"H8",[],[273],"可持续农业",[255],{"code":276,"score":92,"supported":43,"title":277,"abstract":278,"tags":280},"H6",[],[279],"农业生态",[],{"code":107,"score":92,"supported":43,"title":282,"abstract":283,"tags":285},[],[284],"smart agriculture",[],{"code":49,"score":20,"supported":13,"title":287,"abstract":288,"tags":289},[],[],[25],{"code":29,"score":20,"supported":13,"title":291,"abstract":292,"tags":293},[],[],[27],"多个产业证据相当，需要确认主归属",[296,297],"加纳 Sissala East 农户 农药使用","农户生态知识 农药投入","加纳SissalaEast农户农药使用-3538","10.1080\u002F27658511.2026.2736409",{"doi":299,"openalex_id":301,"authors":302,"venue":245,"cited_by_count":180,"oa_url":242,"card":310,"direction":316,"ingested_from":188},"W7214316034",[303,306,308],{"name":304,"orcid":305},"Godwin Kumpong Naazie","https:\u002F\u002Forcid.org\u002F0000-0002-4498-3673",{"name":307,"orcid":8},"John Bosco B. Sumani",{"name":309,"orcid":8},"Suleman Mula",{"tldr":311,"method":312,"finding":313,"direction":314,"opportunity":315},"研究加纳农户生态知识与农药使用的关系，发现认知高但可持续实践采用率低。","混合方法：382户问卷、17个关键访谈、5组焦点讨论，卡方检验与主题分析。","农户了解农药生态风险，但教育、推广服务和经验影响管理决策，知行差距显著。","农业绿色发展与碳","可探索数字推广工具如何弥合生态认知与可持续实践之间的知行差距。","智慧农业 \u002F 农业物联网","2026-09-26T23:30:09.775806Z",{"id":319,"title":320,"url":321,"summary":322,"summary_zh":323,"content":8,"source_name":324,"source_url":321,"published_at":325,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":326,"score_detail":327,"sources":329,"tags":331,"primary_topic":335,"secondary_topics":341,"classification":342,"search_phrases":367,"slug":370,"view_count":20,"doi":371,"paper":372,"created_at":384},1397,"Gender-responsive climate-smart agriculture: a scoping review of equity, access, and participation in adaptation programs in sub-Saharan Africa","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffrsus.2026.1902768","Climate change poses significant threats to agricultural productivity, food security, and rural livelihoods in Sub-Saharan Africa (SSA), with women disproportionately affected due to persistent inequalities in access to productive resources, climate information, and adaptation opportunities. Climate-Smart Agriculture (CSA) has been widely promoted as a strategy for enhancing agricultural resilience; however, evidence on its gender responsiveness remains fragmented. This study conducted a scoping review to systematically map and synthesize the literature on gender-responsive CSA interventions, focusing on equity, access, participation, empowerment, and adaptation outcomes in SSA. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR), literature published between 2010 and 2026 was identified from major bibliographic databases and grey literature sources. Of 525 records retrieved, 23 studies met the inclusion criteria and were synthesized using descriptive and thematic analyses. From the study, the evidence indicates that gender-responsive CSA interventions improve women’s access to knowledge, extension services, financial resources, and leadership opportunities, contributing to enhanced adaptive capacity and household resilience. However, the review also identified mixed outcomes, with several studies reporting that persistent socio-cultural norms, insecure land tenure, limited institutional support, unequal decision-making power, and weak policy implementation constrained women’s empowerment and reduced the effectiveness of CSA interventions. Important knowledge gaps include limited longitudinal evidence, inadequate intersectional analyses, underrepresentation of West and Central Africa, and insufficient evaluation of institutional accountability. The review concludes that achieving inclusive climate adaptation requires a transition from gender-responsive to gender-transformative CSA approaches that address structural inequalities, strengthen governance systems, and promote equitable access to resources, decision-making, and adaptation benefits across Sub-Saharan Africa.","气候变化对撒哈拉以南非洲（SSA）的农业生产率、粮食安全和农村生计构成重大威胁，其中女性因在获取生产性资源、气候信息和适应机会方面长期存在的不平等而受到尤为严重的影响。气候智能型农业（CSA）已被广泛推广为增强农业韧性的策略，然而关于其性别响应性的证据仍较为零散。本研究开展了一项范围综述，系统性地梳理和综合了关于性别响应型CSA干预措施的文献，重点关注撒哈拉以南非洲地区的公平性、获取机会、参与、赋权及适应成效。本研究以系统综述和荟萃分析优先报告条目扩展版——范围综述（PRISMA-ScR）为指南，从主要文献数据库和灰色文献来源中检索了2010年至2026年间发表的文献。在检索到的525条记录中，有23项研究符合纳入标准，并采用描述性分析和主题分析进行综合。研究结果表明，性别响应型CSA干预措施改善了女性获取知识、推广服务、财政资源和领导机会的途径，有助于增强其适应能力和家庭韧性。然而，本综述也发现了不一致的结果，多项研究报告指出，持续存在的社会文化规范、不稳定的土地权属、有限的机构支持、不平等的决策权力以及薄弱的政策执行制约了女性赋权，并降低了CSA干预措施的有效性。重要的知识空白包括：纵向证据有限、交叉性分析不足、西非和中非地区的代表性欠缺，以及对机构问责制的评估不够充分。本综述得出结论：实现包容性气候适应需要从性别响应型向性别变革型CSA方法转变，以解决结构性不平等问题，加强治理体系，并促进撒哈拉以南非洲地区在资源获取、决策参与和适应收益方面的公平分配。","Frontiers in Sustainability","2026-09-02T00:00:00Z",72,{"impact":16,"substance":17,"depth":16,"authority":200,"freshness":19,"relevant":20,"comment":328},"系统综述揭示性别响应型气候智慧农业在撒哈拉以南非洲的成效与障碍，对农业适应政策有参考价值。",[330],{"name":324,"url":321},[26,27,332,333,334],"气候智慧农业","性别平等","农业适应",{"code":336,"slug":337,"name":338,"path":339,"parent_code":340},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":36,"locked":13,"version":37,"method":38,"evidence":343},{"candidates":344,"agricultural_evidence":43},[345,349,356,363],{"code":107,"score":57,"supported":43,"title":346,"abstract":347,"tags":348},[284],[284],[],{"code":336,"score":12,"supported":43,"title":350,"abstract":351,"tags":355},[],[352,353,354],"气候变化","气候适应","climate change",[332],{"code":357,"score":61,"supported":43,"title":358,"abstract":359,"tags":362},"A8",[],[360,361],"粮食安全","food security",[],{"code":29,"score":20,"supported":13,"title":364,"abstract":365,"tags":366},[],[],[27],[368,369],"撒哈拉以南非洲 气候智慧农业 农业适应 性别平等","撒哈拉以南非洲 气候智慧农业","撒哈拉以南非洲气候智慧农业农业适应性别平等-1397","10.3389\u002Ffrsus.2026.1902768",{"doi":371,"openalex_id":373,"authors":374,"venue":324,"cited_by_count":180,"oa_url":321,"card":379,"direction":316,"ingested_from":188},"W7204991613",[375,377],{"name":376,"orcid":8},"Adetomiwa Kolapo",{"name":378,"orcid":8},"Funso Omolayo Alabuja",{"tldr":380,"method":381,"finding":382,"direction":314,"opportunity":383},"系统综述撒哈拉以南非洲性别响应型气候智慧农业，评估公平、获取与参与。","采用PRISMA-ScR框架，检索2010-2026年文献，筛选23项研究进行描","性别响应型CSA改善女性资源获取，但社会文化规范、土地权属等限制效果，需转向变革性方法。","研究空白：缺乏纵向证据和交叉分析，西非和中非代表性不足，可探索性别变革性CSA的治理机制。","2026-09-02T23:30:09.578760Z",{"id":386,"title":387,"url":388,"summary":389,"summary_zh":390,"content":8,"source_name":127,"source_url":388,"published_at":391,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":392,"score_detail":393,"sources":395,"tags":397,"primary_topic":402,"secondary_topics":407,"classification":408,"search_phrases":425,"slug":428,"view_count":180,"doi":429,"paper":430,"created_at":450},5072,"Exploring the influence of farmers’ networks and social interactions to sustain soil health management","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1823295","Introduction Soil health management practices have increasingly been promoted across US agroecosystems to address many interrelated environmental and economic food system challenges. Sustaining soil health management behavior—through farmer’s adoption and continued use of practices—is key to ensuring that these challenges are addressed and also known to be in part influenced by farmers social networks and interactions. Methods Drawing on the diffusion of innovation theories, this grounded theory study explores the influence of networks and social interactions on farmers sustaining soil health management. In-depth interviews were conducted with eight participants of a partnership integrating on-farm experimentation and outreach in the U.S. Midwestern agroecosystem. Results Four interrelated dimensions emerged as influencing sustained soil health management: (1) peer influences and social interactions, including land tenure arrangements, perceived acceptance within farming communities, and farming traditions; (2) co-learning processes that supported collaborative knowledge development; (3) expansion of farmer networks through on-farm experimentation and demonstration activities; and (4) experiential tradeoffs associated with practice implementation. Farmers described how participation in on-farm research increased opportunities for peer exchange, field-day engagement, and knowledge sharing while strengthening confidence in management decisions through trialability. At the same time, participants highlighted barriers to long-term practice use related to social expectations, management challenges, and competing farm priorities. Discussion Our findings emphasize that soil health management practice adoption is not a one-time decision, but rather a dynamic process in part influenced by farmers networks and social interactions. Applying factors such as landowner–tenant relationships, perception of acceptance within specific network groups, farming practices carried out by previous generations, and collaborative construction of soil health knowledge as well as prioritizing social components when designing on-farm approaches to experimentation can help sustain soil health management.","引言 在美国的农业生态系统中，土壤健康管理实践日益受到推广，以应对粮食系统中许多相互关联的环境和经济挑战。维持土壤健康管理行为——通过农民的采纳和持续使用实践——是确保这些挑战得到解决的关键，并且已知这部分受到农民社会网络和互动的影响。方法 借鉴创新扩散理论，本扎根理论研究探讨了网络和社会互动对农民维持土壤健康管理的影响。对美国中西部农业生态系统中一个整合了农场试验和推广的合作项目的八名参与者进行了深度访谈。结果 出现了四个相互关联的维度影响持续的土壤健康管理：（1）同伴影响和社会互动，包括土地权属安排、在农业社区内感知到的接受度以及农业传统；（2）支持协作知识发展的共同学习过程；（3）通过农场试验和示范活动扩大农民网络；（4）与实践实施相关的经验性权衡。农民描述了参与农场研究如何增加了同伴交流、田间日活动和知识分享的机会，同时通过可试验性增强了管理决策的信心。与此同时，参与者强调了与长期实践使用相关的障碍，涉及社会期望、管理挑战和相互竞争的农场优先事项。讨论 我们的发现强调，土壤健康管理实践的采纳不是一次性决定，而是一个动态过程，部分受到农民网络和社会互动的影响。应用诸如地主与佃农关系、在特定网络群体内感知到的接受度、前几代人开展的农业实践以及土壤健康知识的协作构建等因素，并在设计农场试验方法时优先考虑社会因素，可以帮助维持土壤健康管理。","2026-10-15T00:00:00Z",63,{"impact":130,"substance":16,"depth":249,"authority":18,"freshness":130,"relevant":20,"comment":394},"基于扎根理论的质性研究，样本仅8人但揭示了农户网络与社交互动对土壤健康管理持续采纳的作用机制，对农技推广与数字乡村社交化传播有参考价值。",[396],{"name":127,"url":388},[25,398,399,400,401],"土壤健康","田间试验","农户社交网络","采纳行为",{"code":403,"slug":404,"name":405,"path":406,"parent_code":340},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",[],{"status":36,"locked":13,"version":37,"method":38,"evidence":409},{"candidates":410,"agricultural_evidence":43},[411,417,421],{"code":403,"score":412,"supported":43,"title":413,"abstract":414,"tags":416},15,[404],[415,404],"土壤",[398],{"code":276,"score":92,"supported":43,"title":418,"abstract":419,"tags":420},[],[279],[],{"code":49,"score":20,"supported":13,"title":422,"abstract":423,"tags":424},[],[],[25],[426,427],"美国中西部 土壤健康 农户网络","农场试验 知识共享 土壤管理","美国中西部土壤健康农户网络-5072","10.3389\u002Ffsufs.2026.1823295",{"doi":429,"openalex_id":431,"authors":432,"venue":127,"cited_by_count":180,"oa_url":388,"card":445,"direction":186,"ingested_from":188},"W7222303587",[433,436,439,442],{"name":434,"orcid":435},"Fernanda Souza Krupek","https:\u002F\u002Forcid.org\u002F0000-0002-6132-2770",{"name":437,"orcid":438},"Taylor K. Ruth","https:\u002F\u002Forcid.org\u002F0000-0002-5269-9154",{"name":440,"orcid":441},"Daren D. Redfearn","https:\u002F\u002Forcid.org\u002F0000-0003-0295-3131",{"name":443,"orcid":444},"Andrea Basche","https:\u002F\u002Forcid.org\u002F0000-0001-6805-8522",{"tldr":446,"method":447,"finding":448,"direction":186,"opportunity":449},"基于扎根理论访谈八位农户，探究社交网络与互动如何影响土壤健康管理行为的持续。","扎根理论，深度访谈美国中西部八位参与农场试验的农户。","持续管理受同伴影响、共同学习、网络扩展和体验权衡四维度共同作用，非一次性决策。","可研究数字社交平台与在线农户网络如何补充线下互动，促进土壤健康管理持续采纳。","2026-10-16T23:30:06.505721Z"]