[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3330":3,"related-3330":110},{"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":31,"secondary_topics":37,"classification":44,"search_phrases":82,"slug":85,"view_count":86,"doi":87,"paper":88,"created_at":109},3330,"Beyond awareness: accounting for information exposure bias in adoption and income effects of Orange-Fleshed Sweet Potato technology among smallholder farming households in Nigeria","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1907286","This study examined the role of information exposure in the adoption of Orange-Fleshed Sweet Potato (OFSP) technology and its effect on the income of smallholder sweet potato farming households in Nigeria. Using cross-sectional primary data collected from 320 smallholder sweet potato farming households in Osun and Kwara States through a two-stage sampling procedure, the study accounted for heterogeneous awareness exposure and actual adoption behavior. The Heckman probit selection model was employed to distinguish between awareness exposure and adoption conditional on awareness, while the Endogenous Treatment Effect (ETE) and Inverse-Probability-Weighted Regression Adjustment (IPWRA) models were used to estimate the income effects of OFSP adoption while correcting for potential endogeneity and selection bias. The findings showed that awareness exposure was significantly influenced by age, marital status, household size, and membership in farmer associations, whereas adoption conditional on awareness was significantly associated with education, farming experience, and access to credit. Descriptively, OFSP adopters reported more favorable perceptions of the technology’s productivity, climate resilience, and nutritional benefits than non-adopters. Both ETE and IPWRA estimates further indicated that OFSP adoption had a positive and significant effect on household income. The study concludes that awareness and adoption are distinct stages influenced by different factors. Policies aimed at promoting OFSP adoption should therefore strengthen targeted information dissemination, extension support, farmer education, and access to credit to enhance adoption, household income, food security, nutrition, and rural livelihoods.","本研究考察了信息接触在橙肉甘薯（Orange-Fleshed Sweet Potato, OFSP）技术采纳中的作用及其对尼日利亚小农户甘薯种植家庭收入的影响。研究采用两阶段抽样程序，从奥孙州和夸拉州320户小农户甘薯种植家庭收集了横截面原始数据，并考虑了异质性认知接触与实际采纳行为。研究运用Heckman probit选择模型区分认知接触与在认知条件下的采纳行为，同时采用内生处理效应（Endogenous Treatment Effect, ETE）模型和逆概率加权回归调整（Inverse-Probability-Weighted Regression Adjustment, IPWRA）模型估计OFSP采纳的收入效应，并校正潜在的内生性和选择偏差。研究结果表明，认知接触显著受年龄、婚姻状况、家庭规模和农民协会成员身份的影响，而在认知条件下的采纳行为则与教育程度、种植经验和信贷可得性显著相关。描述性统计显示，OFSP采纳者对技术生产力、气候适应性和营养益处的感知优于非采纳者。ETE和IPWRA估计结果均表明，OFSP采纳对家庭收入具有显著的正向影响。研究结论认为，认知和采纳是受不同因素影响的 distinct 阶段。因此，旨在促进OFSP采纳的政策应加强针对性信息传播、推广支持、农民教育和信贷可得性，以提高采纳率、家庭收入、粮食安全、营养水平和农村生计。",null,"Frontiers in Sustainable Food Systems","2026-09-24T00:00:00Z","论文",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},12,21,17,13,1,"以信息接触偏差为切入，方法规范、数据扎实，对农业技术推广信息化有参考价值，但属区域国别研究，公共影响有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"农业信息化","小农户","甘薯","尼日利亚","信息传播",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",[38],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",{"status":45,"locked":14,"version":46,"method":47,"evidence":48},"classified","2026-10-22.2","rules",{"candidates":49,"agricultural_evidence":52},[50,57,62,70,77],{"code":32,"score":51,"supported":52,"title":53,"abstract":55,"tags":56},15,true,[54],"potato",[28,54],[28],{"code":39,"score":51,"supported":52,"title":58,"abstract":60,"tags":61},[59],"smallholder",[27,59],[27],{"code":63,"score":64,"supported":52,"title":65,"abstract":66,"tags":69},"A8",6,[],[67,68],"粮食安全","food security",[],{"code":71,"score":64,"supported":52,"title":72,"abstract":73,"tags":76},"H7",[],[74,75],"气候适应","climate resilience",[],{"code":78,"score":21,"supported":14,"title":79,"abstract":80,"tags":81},"I1",[],[],[26],[83,84],"尼日利亚 橙肉甘薯 小农户","信息接触 技术采纳 收入效应","尼日利亚橙肉甘薯小农户-3330",4,"10.3389\u002Ffsufs.2026.1907286",{"doi":87,"openalex_id":89,"authors":90,"venue":10,"cited_by_count":101,"oa_url":6,"card":102,"direction":106,"ingested_from":108},"W7214099591",[91,94,96,98],{"name":92,"orcid":93},"Adetomiwa Kolapo","https:\u002F\u002Forcid.org\u002F0000-0002-0808-1293",{"name":95,"orcid":9},"Melusi Sibanda",{"name":97,"orcid":9},"Nolwazi Z. Khumalo",{"name":99,"orcid":100},"Temitope O. Ojo","https:\u002F\u002Forcid.org\u002F0000-0002-3517-0435",0,{"tldr":103,"method":104,"finding":105,"direction":106,"opportunity":107},"研究尼日利亚小农户信息接触偏差对橙肉甘薯技术采纳及收入的影响。","320户两阶段抽样调查，用Heckman probit、ETE和IPWRA模型。","信息接触与采纳受不同因素影响，采纳显著提高农户家庭收入。","数字乡村与农业信息化","可延伸研究信息传播渠道差异如何影响技术采纳阶段转化与收入分配。","openalex","2026-09-24T23:30:06.870179Z",{"total":64,"page":21,"page_size":64,"items":111},[112,170,261,316,376,440],{"id":113,"title":114,"url":115,"summary":116,"summary_zh":117,"content":9,"source_name":118,"source_url":115,"published_at":119,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":120,"score_detail":121,"sources":125,"tags":127,"primary_topic":130,"secondary_topics":131,"classification":132,"search_phrases":149,"slug":152,"view_count":153,"doi":154,"paper":155,"created_at":169},4175,"Integrating Agricultural Technology Adoption and Financial Inclusion as a Strategy to Improve Micro-Scale Farm Productivity in Rural Areas of South Sumatra","https:\u002F\u002Fdoi.org\u002F10.38124\u002Fijisrt\u002F26sep241","Micro-scale farming faces various constraints in improving productivity, particularly in relation to farmers' ability to adopt technology and access financing that meets their business needs. Agricultural technology can improve the efficiency of input use, access to information, farm management, and decision-making. However, technology adoption among smallholder farmers is still influenced by digital literacy, infrastructure, economic conditions, and institutional factors. On the other hand, access to credit can improve farm productivity and technical efficiency by enabling farmers to obtain production inputs and make productive investments. This study aims to: (1) analyze the effect of agricultural technology adoption on micro-scale farm productivity; and (2) analyze the effect of financial inclusion access on micro-scale farm productivity. The study employs a quantitative explanatory approach using multiple linear regression analysis. A total of 300 farm observations are used as simulated data to demonstrate the proposed analytical framework; therefore, the numerical results do not represent findings from an actual field survey. The independent variables consist of an agricultural technology adoption index and a financial inclusion access index, while farm productivity serves as the dependent variable. Farmers' age, education level, and land area are included as control variables. The results indicate that agricultural technology adoption and financial inclusion access have positive and statistically significant effects on farm productivity. The model explains a substantial proportion of the variation in productivity and provides an initial basis for further empirical investigation into the role of technology and financing in micro-scale farming. These findings are illustrative in nature and should be validated using primary data collected from farmers.","微观农业在提高生产力方面面临各种制约，尤其是农民采用技术以及获取满足其经营需求的融资能力方面的制约。农业技术可以提高投入品使用效率、信息获取、农场管理和决策效率。然而，小农户的技术采用仍受到数字素养、基础设施、经济条件和制度因素的影响。另一方面，获得信贷可以通过使农民能够获取生产投入并进行生产性投资来提高农场生产力和技术效率。本研究旨在：(1) 分析农业技术采用对微观农场生产力的影响；(2) 分析普惠金融获取对微观农场生产力的影响。本研究采用定量解释性方法，运用多元线性回归分析。共使用300个农场观测值作为模拟数据来展示所提出的分析框架；因此，数值结果不代表实际实地调查的发现。自变量包括农业技术采用指数和普惠金融获取指数，农场生产力为因变量。农民年龄、教育水平和土地面积作为控制变量纳入分析。结果表明，农业技术采用和普惠金融获取对农场生产力具有正向且统计显著的影响。该模型解释了生产力变异的相当大比例，为进一步实证研究技术和融资在微观农业中的作用提供了初步基础。这些发现具有示例性质，应使用从农民处收集的一手数据加以验证。","International Journal of Innovative Science and Research Technology (IJISRT)","2026-10-03T00:00:00Z",41,{"impact":122,"substance":13,"depth":122,"authority":64,"freshness":123,"relevant":21,"comment":124},8,9,"主题相关但数据为模拟生成、期刊权威性一般，仅具方法参考价值，不建议进入每日精选。",[126],{"name":118,"url":115},[26,27,128,129],"普惠金融","农业技术采纳",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":133},{"candidates":134,"agricultural_evidence":52},[135,140,145],{"code":39,"score":136,"supported":52,"title":137,"abstract":138,"tags":139},7,[],[27,59],[27],{"code":141,"score":21,"supported":14,"title":142,"abstract":143,"tags":144},"G1",[],[],[129],{"code":78,"score":21,"supported":14,"title":146,"abstract":147,"tags":148},[],[],[26],[150,151],"南苏门答腊 小农户 生产力","农业技术采纳 普惠金融","南苏门答腊小农户生产力-4175",2,"10.38124\u002Fijisrt\u002F26sep241",{"doi":154,"openalex_id":156,"authors":157,"venue":118,"cited_by_count":101,"oa_url":115,"card":164,"direction":106,"ingested_from":108},"W7218524136",[158,161],{"name":159,"orcid":160},"Lisa Hermawati","https:\u002F\u002Forcid.org\u002F0009-0001-5824-7052",{"name":162,"orcid":163},"Ema Pusvita","https:\u002F\u002Forcid.org\u002F0009-0002-2813-5567",{"tldr":165,"method":166,"finding":167,"direction":106,"opportunity":168},"用模拟数据回归分析农业技术采纳与金融普惠对微规模农场生产力的影响。","多元线性回归，300条模拟数据，构建技术采纳与金融普惠指数。","技术采纳和金融普惠均显著正向提升微规模农场生产力。","需用真实农户调查数据验证，并探究数字素养与信贷可得性的交互机制。","2026-10-04T23:30:30.503599Z",{"id":171,"title":172,"url":173,"summary":174,"summary_zh":175,"content":9,"source_name":176,"source_url":173,"published_at":177,"category":12,"cover_url":9,"hotness":178,"is_selected":14,"score":179,"score_detail":180,"sources":183,"tags":188,"primary_topic":191,"secondary_topics":192,"classification":193,"search_phrases":229,"slug":232,"view_count":64,"doi":233,"paper":234,"created_at":260},3827,"Climate Experience and Climate-smart Agriculture Adoption among Smallholder Farmers in Southwestern Nigeria","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fjaeri\u002F2026\u002Fv27i5817","Climate-smart agriculture (CSA) is promoted to strengthen smallholder farming systems under climatic variability, yet adoption determinants remain context-specific, particularly where awareness is widespread. This study examined the association between farmers’ experience of changing weather conditions and reported CSA adoption among smallholder farmers in southwestern Nigeria, while accounting for selected socioeconomic and agricultural-information characteristics. Primary data were collected through a structured questionnaire administered to 190 farmers. Descriptive statistics characterised respondents, weather-change experience and CSA adoption. Because the adoption outcome was highly imbalanced, Firth-penalised logistic regression was used. CSA awareness was reported by 187 respondents (98.4%). Frequent experience of changing weather conditions was reported by 157 respondents (82.6%), and 174 of 188 respondents with valid responses (92.6%) reported at least occasional experience. Among 176 respondents with valid adoption responses, 168 (95.5%) reported using at least one CSA practice and eight (4.5%) reported non-adoption. The regression model, based on 173 complete observations, identified experience of changing weather conditions as the only statistically significant predictor of reported adoption (OR = 10.401, 95% CI: 3.118–34.694, p \u003C 0.001). Gender, education, farm size and extension information were not statistically significant. The findings indicate a positive association between direct climate experience and reported CSA adoption, but the cross-sectional design does not support causal inference. Climate-adaptation interventions may therefore benefit from linking farmers’ observed weather experiences with locally relevant CSA options and decision support.","气候智慧型农业(climate-smart agriculture, CSA)被推广用于在气候波动条件下强化小农耕作体系，但其采纳决定因素仍具有情境特异性，尤其是在认知已较为普遍的地区。本研究考察了尼日利亚西南部小农对天气条件变化的体验与所报告的CSA采纳之间的关联，同时控制了若干社会经济和农业信息特征。原始数据通过结构化问卷对190名农民进行调查获得。采用描述性统计刻画受访者特征、天气变化体验及CSA采纳情况。由于采纳结果高度不平衡，研究采用Firth惩罚逻辑回归。187名受访者(98.4%)报告知晓CSA。157名受访者(82.6%)报告经常经历天气条件变化，在188名有效应答者中有174人(92.6%)报告至少偶尔有此体验。在176名采纳情况有效应答者中，168人(95.5%)报告使用至少一项CSA实践，8人(4.5%)报告未采纳。基于173个完整观测值的回归模型显示，天气条件变化体验是所报告采纳的唯一具有统计学显著性的预测因子(OR = 10.401，95% CI：3.118–34.694，p \u003C 0.001)。性别、教育程度、农场规模和推广信息均不具有统计学显著性。研究结果表明，直接的气候体验与所报告的CSA采纳之间存在正相关，但横断面设计不支持因果推断。因此，气候适应干预措施或可从将农民观测到的天气体验与当地相关的CSA选项及决策支持相衔接中获益。","Journal of Agriculture and Ecology Research International","2026-09-29T00:00:00Z",25,62,{"impact":122,"substance":181,"depth":51,"authority":17,"freshness":123,"relevant":21,"comment":182},18,"基于190户问卷的实证研究，方法规范但属区域性小样本，对国内三农信息化参考价值有限。",[184,185],{"name":176,"url":173},{"name":186,"url":187},"INRIA a CCSD electronic archive server","https:\u002F\u002Fhal.science\u002Fhal-05771551",[27,74,189,190,29],"气候智慧型农业","农业推广",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":194},{"candidates":195,"agricultural_evidence":52},[196,200,206,213,218,225],{"code":39,"score":17,"supported":52,"title":197,"abstract":198,"tags":199},[59],[59],[27],{"code":78,"score":201,"supported":52,"title":202,"abstract":204,"tags":205},11,[203],"smart agriculture",[203],[],{"code":207,"score":64,"supported":52,"title":208,"abstract":209,"tags":212},"I7",[],[210,211],"因果推断","causal inference",[],{"code":71,"score":214,"supported":52,"title":215,"abstract":216,"tags":217},5,[],[74],[189,74],{"code":219,"score":220,"supported":52,"title":221,"abstract":222,"tags":224},"I2",3,[],[223],"decision support",[],{"code":141,"score":21,"supported":14,"title":226,"abstract":227,"tags":228},[],[],[190],[230,231],"尼日利亚 小农户 气候智慧型农业","西南尼日利亚 农户 气候适应","尼日利亚小农户气候智慧型农业-3827","10.9734\u002Fjaeri\u002F2026\u002Fv27i5817",{"doi":233,"openalex_id":235,"authors":236,"venue":176,"cited_by_count":101,"oa_url":173,"card":254,"direction":259,"ingested_from":108},"W7214752532",[237,240,242,244,246,248,250,252],{"name":238,"orcid":239},"Folasade Jokotade Odekunle","https:\u002F\u002Forcid.org\u002F0000-0001-8768-1045",{"name":241,"orcid":9},"Jechoniah AGABI",{"name":243,"orcid":9},"Idris O. JINADU",{"name":245,"orcid":9},"Gabriel O. Adebayo",{"name":247,"orcid":9},"Adedayo S. Adediran",{"name":249,"orcid":9},"Akeem Adewole",{"name":251,"orcid":9},"Segun S. Adelabu",{"name":253,"orcid":9},"Adedotun A. Adetunji",{"tldr":255,"method":256,"finding":257,"direction":106,"opportunity":258},"研究尼日利亚西南小农户气候变化经历与气候智慧型农业采纳的关联。","对190户问卷调查，因采纳结果高度不平衡，采用Firth惩罚逻辑回归。","气候变化经历是采纳的唯一显著预测因子（OR=10.4），但横断面设计不支持因果推断。","可结合农户天气感知与本地化CSA决策支持工具，开展纵向或干预研究验证因果并提升采纳。","智慧农业 \u002F 农业物联网","2026-09-30T23:30:09.908940Z",{"id":262,"title":263,"url":264,"summary":265,"summary_zh":266,"content":9,"source_name":267,"source_url":264,"published_at":268,"category":12,"cover_url":9,"hotness":178,"is_selected":14,"score":269,"score_detail":270,"sources":274,"tags":278,"primary_topic":281,"secondary_topics":282,"classification":283,"search_phrases":295,"slug":298,"view_count":214,"doi":299,"paper":300,"created_at":315},3198,"Farm Budgeting and Gross Margin Analysis as Extension Tools for Promoting Commercial Agriculture among Smallholder Farmers in Zamfara State, Nigeria.","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22870012","Abstract This study assessed farm budgeting and gross margin analysis as extension tools for promoting commercial agriculture among smallholder farmers in Zamfara State, Nigeria. Specifically, the study examined farmers' knowledge and use of farm budgeting and gross margin analysis, assessed the role of agricultural extension agents in promoting their application, determined the level of commercial agriculture participation, and examined the relationship between the use of the two tools and commercial agriculture participation. A multistage sampling procedure was used to select 241 smallholder farmers from four Local Government Areas. Data were collected through a structured, pre-tested interview schedule and analysed using descriptive statistics, farm budgeting, gross margin analysis, benefit-cost ratio, and multiple linear regression estimated using the Ordinary Least Squares method. The results showed that farmers had a relatively high level of knowledge of farm budgeting and gross margin analysis (grand mean = 3.40), whereas their actual use of the tools was low (mean = 2.82), indicating a knowledge–application gap. Extension support was positively rated (mean = 3.38), although follow-up support remained limited. Commercial agriculture participation was relatively high (mean = 3.41). The regression model was statistically significant (F = 47.84, p \u003C 0.001) and explained 58.3% of the variation in commercial agriculture participation. Farm budgeting (B = 0.286, p \u003C 0.001) and gross margin analysis (B = 0.351, p \u003C 0.001) were positively and significantly associated with commercial agriculture participation. The study concluded that strengthening practical extension support for financial planning and profitability assessment could enhance informed and market-oriented farm decision-making among smallholder farmers. Keywords: Financial planning; Profitability assessment; Market orientation; Farm management; Enterprise decision-making; Extension Tools.","摘要 本研究评估了农场预算编制与毛利分析作为推广工具在尼日利亚扎姆法拉州促进小农户商业化农业方面的作用。具体而言，本研究考察了农民对农场预算编制和毛利分析的知识与使用情况，评估了农业推广人员在推动其应用中的作用，测定了商业化农业参与水平，并检验了这两种工具的使用与商业化农业参与之间的关系。采用多阶段抽样程序，从四个地方政府区域选取了241名小农户。数据通过结构化、预先测试的访谈问卷收集，并采用描述性统计、农场预算编制、毛利分析、效益成本比以及普通最小二乘法估计的多元线性回归进行分析。结果表明，农民对农场预算编制和毛利分析的知识水平相对较高（总均值=3.40），而其对工具的实际使用率较低（均值=2.82），表明存在知识—应用差距。推广支持获得正面评价（均值=3.38），但后续跟进支持仍然有限。商业化农业参与度相对较高（均值=3.41）。回归模型具有统计学显著性（F=47.84，p\u003C0.001），解释了商业化农业参与变异的58.3%。农场预算编制（B=0.286，p\u003C0.001）和毛利分析（B=0.351，p\u003C0.001）与商业化农业参与呈显著正相关。研究得出结论，加强对财务规划和盈利能力评估的实践性推广支持，可增强小农户知情且面向市场的农场决策能力。关键词：财务规划；盈利能力评估；市场导向；农场管理；企业经营决策；推广工具。","Zenodo (CERN European Organization for Nuclear Research)","2026-09-21T00:00:00Z",65,{"impact":122,"substance":271,"depth":272,"authority":17,"freshness":123,"relevant":21,"comment":273},20,16,"基于241户小农户调查的实证研究，揭示农业推广中财务工具的知识-应用差距，对农业信息化与推广服务有参考价值，但地域局限于尼日利亚。",[275,276],{"name":267,"url":264},{"name":267,"url":277},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22870011",[27,190,29,279,280],"农场预算","农业商业化",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":284},{"candidates":285,"agricultural_evidence":52},[286,290],{"code":39,"score":51,"supported":52,"title":287,"abstract":288,"tags":289},[59],[27,59],[27],{"code":141,"score":136,"supported":52,"title":291,"abstract":292,"tags":294},[],[190,293],"agricultural extension",[190],[296,297],"Zamfara 小农户 农业推广","农场预算 毛利分析","Zamfara小农户农业推广-3198","10.5281\u002Fzenodo.22870012",{"doi":299,"openalex_id":301,"authors":302,"venue":267,"cited_by_count":101,"oa_url":264,"card":309,"direction":314,"ingested_from":108},"W7213887499",[303,305,307],{"name":304,"orcid":9},"M.K. Idris",{"name":306,"orcid":9},"M. I. Fagge",{"name":308,"orcid":9},"U.S. Danjuma",{"tldr":310,"method":311,"finding":312,"direction":106,"opportunity":313},"研究尼日利亚小农户农场预算与毛利分析作为推广工具对商业化农业参与的影响。","多阶段抽样241户，用描述统计、农场预算、毛利分析、OLS回归。","农户知识高但使用低，两工具均显著正向关联商业化农业参与（解释58.3%）。","可探索将农场预算与毛利分析数字化、嵌入移动端推广工具，弥合知识-应用鸿沟。","农业人工智能与决策模型","2026-09-22T23:30:46.883515Z",{"id":317,"title":318,"url":319,"summary":320,"summary_zh":321,"content":9,"source_name":267,"source_url":319,"published_at":322,"category":12,"cover_url":9,"hotness":178,"is_selected":14,"score":179,"score_detail":323,"sources":326,"tags":330,"primary_topic":332,"secondary_topics":333,"classification":334,"search_phrases":354,"slug":356,"view_count":21,"doi":357,"paper":358,"created_at":375},2931,"UNDERSTANDING THE CONSTRAINTS OF CLIMATE-SMART AGRICULTURE AMONG SMALLHOLDER FARMERS IN SOUTHWESTERN NIGERIA","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832901","Climate-smart agriculture (CSA) has gained increasing attention as an approach for improving agricultural productivity and strengthening the resilience of farming systems to climate variability and change. However, the willingness of farmers to embrace CSA does not necessarily translate into implementation. This study examined the factors influencing the willingness of 190 smallholder farmers in Akinyele Local Government Area of Oyo State, southwestern Nigeria, to implement CSA, the principal constraints to implementation, sources of agricultural information, institutional support and farmers' preferred strategies for strengthening implementation among 190 smallholder farmers in Akinyele Local Government Area of Oyo State, southwestern Nigeria. Data were collected using a structured questionnaire and analysed mainly with frequencies and percentages, while ordered response-scale variables were summarised with appropriate scale-based measures. Cost of implementation was the most frequently identified factor influencing willingness (32.7%), followed by knowledge and information (28.4%) and resources (22.6%). Cost was also the dominant implementation constraint (54.7%), followed by uncertainty about the effectiveness of CSA practices (25.8%) and difficulty learning new techniques (19.5%). Most respondents (94.7%) reported receiving some form of agricultural or institutional support, although financial assistance accounted for only 13.7% of the reported support. Government extension officers were the principal source of agricultural information (55.3%), while government incentives or subsidies were the most preferred strategy for strengthening implementation (50.5%). Demonstration farms and farmer field schools were the most preferred learning approaches (32.6% each). The findings indicate that the central challenge is not simply awareness or willingness but farmers' capacity to convert willingness into practical action. Therefore, strengthening CSA implementation requires coordinated financial, technical, informational, and institutional support rather than awareness creation alone.","气候智慧型农业(CSA)作为提高农业生产力和增强农业系统对气候变率与气候变化适应力的方法，日益受到关注。然而，农民接受气候智慧型农业的意愿并不必然转化为实际实施。本研究考察了尼日利亚西南部奥约州阿基涅莱地方政府区190户小农户实施气候智慧型农业意愿的影响因素、实施的主要制约因素、农业信息来源、制度支持以及农民偏好用于加强实施的策略。数据通过结构化问卷收集，主要以频数和百分比进行分析，有序响应量表变量则采用适当的量表测量指标进行汇总。实施成本是影响意愿最常被提及的因素(32.7%)，其次是知识和信息(28.4%)以及资源(22.6%)。成本也是主要的实施制约因素(54.7%)，其次是对气候智慧型农业实践有效性的不确定性(25.8%)和学习新技术的困难(19.5%)。大多数受访者(94.7%)报告获得了某种形式的农业或制度支持，尽管财政援助仅占所报告支持的13.7%。政府推广人员是农业信息的主要来源(55.3%)，而政府激励或补贴是加强实施最受偏好的策略(50.5%)。示范农场和农民田间学校是最受偏好的学习方式(各占32.6%)。研究结果表明，核心挑战不仅仅是意识或意愿问题，而是农民将意愿转化为实际行动的能力。因此，加强气候智慧型农业的实施需要协调的财政、技术、信息和制度支持，而非仅仅开展意识宣传。","2026-09-18T00:00:00Z",{"impact":122,"substance":181,"depth":324,"authority":17,"freshness":13,"relevant":21,"comment":325},14,"基于190户小农户问卷的实证研究，揭示气候智慧型农业落地瓶颈在于成本与能力而非意愿，对农业推广信息化有参考价值，但属区域性案例、影响层级有限。",[327,328],{"name":267,"url":319},{"name":267,"url":329},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832902",[27,189,190,29,331],"农业信息获取",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":335},{"candidates":336,"agricultural_evidence":52},[337,341,345,350],{"code":39,"score":51,"supported":52,"title":338,"abstract":339,"tags":340},[59],[27,59],[27],{"code":78,"score":201,"supported":52,"title":342,"abstract":343,"tags":344},[203],[203],[],{"code":71,"score":86,"supported":52,"title":346,"abstract":347,"tags":349},[],[348],"气候变化",[189],{"code":141,"score":21,"supported":14,"title":351,"abstract":352,"tags":353},[],[],[190],[230,355],"Oyo State 农业推广 信息","尼日利亚小农户气候智慧型农业-2931","10.5281\u002Fzenodo.22832901",{"doi":357,"openalex_id":359,"authors":360,"venue":267,"cited_by_count":101,"oa_url":319,"card":370,"direction":259,"ingested_from":108},"W7213579850",[361,363,364,365,367,368,369],{"name":362,"orcid":9},"Folasade J. Odekunle",{"name":241,"orcid":9},{"name":253,"orcid":9},{"name":366,"orcid":9},"Omotunde M. KILASHO",{"name":243,"orcid":9},{"name":245,"orcid":9},{"name":247,"orcid":9},{"tldr":371,"method":372,"finding":373,"direction":106,"opportunity":374},"研究尼日利亚小农户实施气候智慧农业的意愿、制约因素与支持需求。","对190户小农户问卷调查，用频数和百分比等描述性统计分析。","成本是首要制约，核心挑战在于农户将意愿转化为行动的能力不足。","可探索数字信息服务和金融支持如何协同提升小农户CSA实施能力。","2026-09-19T23:30:11.397222Z",{"id":377,"title":378,"url":379,"summary":380,"summary_zh":381,"content":9,"source_name":267,"source_url":379,"published_at":322,"category":12,"cover_url":9,"hotness":178,"is_selected":14,"score":269,"score_detail":382,"sources":384,"tags":388,"primary_topic":391,"secondary_topics":392,"classification":393,"search_phrases":420,"slug":423,"view_count":21,"doi":424,"paper":425,"created_at":439},2930,"SMALLHOLDER FARMERS' PERCEPTIONS AND USE OF CLIMATE-SMART AGRICULTURAL PRACTICES IN SOUTHWESTERN NIGERIA","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832942","Climate-smart agriculture (CSA) is increasingly promoted as a means of strengthening the resilience of smallholder farming systems to climate variability. Yet awareness of CSA does not necessarily translate into actual implementation, particularly where farmers face financial, technical and institutional constraints. This study examined the roles of climate experience, agricultural information and socioeconomic characteristics in CSA adoption among smallholder farmers in southwestern Nigeria. Primary data were obtained through a structured cross-sectional survey of 190 farmers in Akinyele Local Government Area of Oyo State. Descriptive statistics were used to characterise respondents and examine CSA awareness, agricultural information, experience of weather variability, willingness to adopt, reported adoption and perceived constraints. Because the adoption outcome was highly imbalanced, Firth-penalised logistic regression was used to identify factors independently associated with actual CSA adoption. The results show that 98.4% of respondents were aware of CSA and 96.3% reported experiencing changes in weather conditions. Although 96.3% expressed willingness to adopt CSA, 88.4% reported actual use, indicating an intention–implementation gap. Water-conservation technologies received the highest proportion of “very important” responses (83.7%), followed by organic manure (80.5%), drought-resistant crops (80.0%) and crop rotation (79.5%). Government extension officers were the principal reported source of agricultural information (55.3%). Implementation cost was the leading constraint (54.7%), followed by uncertainty about effectiveness (25.8%) and difficulty learning new techniques (19.5%). In the Firth model, experience of changing weather conditions was the only statistically significant predictor of adoption (OR = 10.401, 95% CI: 3.118–34.694, p \u003C 0.001). Gender, education, farm size and extension information were not statistically significant. The findings indicate that CSA adoption in the study area is not adequately explained by awareness alone. Farmers’ direct experience of climatic variability appears to be an important stimulus for adaptation, while financial and technical constraints can restrict implementation. Climate adaptation policies should therefore move beyond general awareness creation towards practical extension, affordable inputs, locally relevant climate information and resource-supported implementation.","气候智慧型农业（climate-smart agriculture, CSA）日益被视为增强小农户耕作系统对气候变异性适应能力的手段。然而，对气候智慧型农业的认知并不必然转化为实际实施，尤其是在农户面临资金、技术和制度约束的情况下。本研究考察了气候经验、农业信息和社会经济特征在尼日利亚西南部小农户采用气候智慧型农业中的作用。原始数据通过结构化横断面调查获得，调查对象为奥约州阿基涅莱地方政府辖区的190名农户。采用描述性统计对受访者特征进行刻画，并考察气候智慧型农业认知、农业信息、天气变异性经历、采用意愿、报告采用情况及感知约束。由于采用结果高度不平衡，研究采用Firth惩罚逻辑回归识别与实际采用气候智慧型农业独立相关的因素。结果表明，98.4%的受访者知晓气候智慧型农业，96.3%报告经历了天气状况变化。尽管96.3%表示愿意采用气候智慧型农业，但88.4%报告实际使用，表明存在意愿—实施差距。节水技术获得“非常重要”评价的比例最高（83.7%），其次为有机肥（80.5%）、抗旱作物（80.0%）和轮作（79.5%）。政府推广人员是报告的主要农业信息来源（55.3%）。实施成本是首要约束（54.7%），其次是对有效性的不确定（25.8%）和学习新技术的困难（19.5%）。在Firth模型中，经历天气状况变化是采用行为的唯一具有统计学意义的预测因素（OR = 10.401，95% CI：3.118–34.694，p \u003C 0.001）。性别、教育程度、农场规模和推广信息在统计上不显著。研究结果表明，仅凭认知不足以充分解释研究区域的气候智慧型农业采用情况。农户对气候变异性的直接经历似乎是适应行为的重要刺激因素，而资金和技术约束可能限制实施。因此，气候适应政策应从一般性认知宣传转向实践推广、可负担投入、地方相关气候信息和资源支持下的实施。",{"impact":122,"substance":271,"depth":272,"authority":17,"freshness":123,"relevant":21,"comment":383},"基于190户调查的实证研究，揭示气候智慧农业意愿与实施落差，对农业信息化推广有参考价值，但属区域性研究、影响层级有限。",[385,386],{"name":267,"url":379},{"name":267,"url":387},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832941",[27,389,190,29,390],"气候智慧农业","农业信息",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":394},{"candidates":395,"agricultural_evidence":52},[396,400,405,412,416],{"code":39,"score":51,"supported":52,"title":397,"abstract":398,"tags":399},[59],[27,59],[27],{"code":71,"score":136,"supported":52,"title":401,"abstract":402,"tags":404},[],[74,403],"drought",[389],{"code":406,"score":64,"supported":52,"title":407,"abstract":408,"tags":411},"A7",[],[409,410],"轮作","crop rotation",[],{"code":78,"score":220,"supported":52,"title":413,"abstract":414,"tags":415},[],[203],[],{"code":141,"score":21,"supported":14,"title":417,"abstract":418,"tags":419},[],[],[190],[421,422],"尼日利亚 小农户 气候智慧农业","Oyo State 农业推广","尼日利亚小农户气候智慧农业-2930","10.5281\u002Fzenodo.22832942",{"doi":424,"openalex_id":426,"authors":427,"venue":267,"cited_by_count":101,"oa_url":379,"card":434,"direction":259,"ingested_from":108},"W7213578578",[428,429,430,431,432,433],{"name":362,"orcid":9},{"name":253,"orcid":9},{"name":243,"orcid":9},{"name":247,"orcid":9},{"name":245,"orcid":9},{"name":249,"orcid":9},{"tldr":435,"method":436,"finding":437,"direction":106,"opportunity":438},"研究尼日利亚小农户对气候智慧农业的认知、采用意愿与实际使用及其影响因素。","对奥约州190户农户问卷调查，采用Firth惩罚逻辑回归分析采用因素。","认知与意愿高但实际采用存在落差，天气变化经历是唯一显著预测因素。","可探索农业信息传播与气候经历如何协同促进小农户从意愿到实际采用。","2026-09-19T23:30:11.305594Z",{"id":441,"title":442,"url":443,"summary":444,"summary_zh":445,"content":9,"source_name":446,"source_url":443,"published_at":447,"category":12,"cover_url":9,"hotness":178,"is_selected":14,"score":448,"score_detail":449,"sources":451,"tags":455,"primary_topic":456,"secondary_topics":457,"classification":458,"search_phrases":485,"slug":488,"view_count":86,"doi":489,"paper":490,"created_at":507},1719,"2026 Vol-6 Issue-2 | ASSESSMENT OF INSTITUTIONAL SUPPORT MECHANISMS AND ADOPTION OF CLIMATE-SMART AGRICULTURAL PRACTICES AMONG SMALLHOLDER FARMERS IN ARDO-KOLA LGA, TARABA STATE, NIGERIA","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22303210","Climate change has continued to reduce agricultural productivity and increase the vulnerability of smallholder farmers in Nigeria, making the adoption of Climate-Smart Agriculture (CSA) increasingly important. Despite its potential to improve resilience and productivity, the adoption of CSAremains constrained by inadequate institutional support. Specifically, the study identified the major CSApractices adopted, assessed farmers' access to institutional support services, determined the socioeconomic and institutional factors influencing CSA adoption, and evaluated farmers' perceptions of the effect of institutional support on the sustainability of CSA adoption. A cross-sectional survey design was employed, and primary data were collected from 100 smallholder farmers selected through a multistage sampling technique using a structured questionnaire. Data were analyzed using descriptive statistics, binary logistic regression, and a five-point Likert scale. The results showed that improved crop varieties (88%), crop rotation (84%), and organic manure application (81%) were the most widely adopted CSA practices. Farmers had moderate access to institutional support (Grand Mean = 3.17). Education, farm size, farming experience, extension contact, access to agricultural credit, cooperative membership, farmer training, and policy awareness significantly influenced CSAadoption (Pseudo R² = 0.389; p \u003C 0.05). Farmers also perceived institutional support as having a strong positive effect on sustaining CSA adoption (Grand Mean = 4.22). The study concludes that strengthening institutional support will enhance CSA adoption among smallholder farmers. It recommends improving extension services, farmer training, access to affordable credit, cooperative development, and climate information delivery.","气候变化持续降低尼日利亚农业生产率，并加剧了小农户的脆弱性，使得采纳气候智能型农业（Climate-Smart Agriculture, CSA）日益重要。尽管CSA在提升韧性和生产力方面具有潜力，但其采纳仍受制于制度支持不足。具体而言，本研究识别了农户主要采纳的CSA实践，评估了农户获得制度支持服务的情况，确定了影响CSA采纳的社会经济与制度因素，并评价了农户对制度支持在CSA采纳可持续性方面作用的认知。研究采用横断面调查设计，通过多阶段抽样技术选取100名小农户，使用结构化问卷收集一手数据。数据分析采用描述性统计、二元逻辑回归和五点李克特量表。结果表明，改良作物品种（88%）、作物轮作（84%）和有机肥施用（81%）是最广泛采纳的CSA实践。农户获得制度支持的程度为中等（总均值=3.17）。教育水平、农场规模、务农经验、推广服务接触、农业信贷获取、合作社成员身份、农户培训和政策认知显著影响CSA采纳（伪R²=0.389；p\u003C0.05）。农户还认为制度支持对维持CSA采纳具有显著正向作用（总均值=4.22）。研究得出结论：加强制度支持将促进小农户对CSA的采纳。建议改善推广服务、加强农户培训、扩大可负担信贷获取渠道、促进合作社发展，并强化气候信息传递。","AFRICAN JOURNAL OF AGRICULTURE AND ALLIED SCIENCES","2026-09-04T00:00:00Z",48,{"impact":122,"substance":51,"depth":324,"authority":122,"freshness":220,"relevant":21,"comment":450},"针对尼日利亚小农户CSA采纳的实证研究，数据详实，但地域局限且时效性一般。",[452,453],{"name":446,"url":443},{"name":446,"url":454},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22303211",[27,389,29],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":45,"locked":14,"version":46,"method":47,"evidence":459},{"candidates":460,"agricultural_evidence":52},[461,465,470,474,481],{"code":39,"score":51,"supported":52,"title":462,"abstract":463,"tags":464},[59],[27,59],[27],{"code":71,"score":136,"supported":52,"title":466,"abstract":467,"tags":469},[],[348,468],"climate change",[389],{"code":406,"score":64,"supported":52,"title":471,"abstract":472,"tags":473},[],[409,410],[],{"code":475,"score":64,"supported":52,"title":476,"abstract":477,"tags":480},"G3",[],[478,479],"农业信贷","agricultural credit",[],{"code":78,"score":220,"supported":52,"title":482,"abstract":483,"tags":484},[],[203],[],[486,487],"气候智慧农业 尼日利亚 小农户","气候智慧农业 尼日利亚","气候智慧农业尼日利亚小农户-1719","10.5281\u002Fzenodo.22303210",{"doi":489,"openalex_id":491,"authors":492,"venue":446,"cited_by_count":101,"oa_url":443,"card":501,"direction":259,"ingested_from":108},"W7208732914",[493,495,497,499],{"name":494,"orcid":9},"Luka,, P.",{"name":496,"orcid":9},"Yeba,, N.A .",{"name":498,"orcid":9},"R. Gideon",{"name":500,"orcid":9},"E. Aboki",{"tldr":502,"method":503,"finding":504,"direction":505,"opportunity":506},"评估尼日利亚小农采纳气候智慧农业的机构支持机制及影响因素。","横断面调查，多阶段抽样100农户，描述统计、二元逻辑回归、李克特量表。","机构支持中等，教育、规模、推广等显著影响采纳，支持对可持续性作用积极。","农业绿色发展与碳","可研究如何数字化优化机构支持（如信贷、培训）以提升小农CSA采纳率。","2026-09-05T23:30:08.906258Z"]