[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3827":3,"related-3827":122},{"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":24,"tags":29,"primary_topic":35,"secondary_topics":41,"classification":42,"search_phrases":87,"slug":90,"view_count":63,"doi":91,"paper":92,"created_at":121},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。",null,"Journal of Agriculture and Ecology Research International","2026-09-29T00:00:00Z","论文",25,false,62,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,15,12,9,1,"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。",[25,26],{"name":10,"url":6},{"name":27,"url":28},"INRIA a CCSD electronic archive server","https:\u002F\u002Fhal.science\u002Fhal-05771551",[30,31,32,33,34],"小农户","气候适应","气候智慧型农业","农业推广","尼日利亚",{"code":36,"slug":37,"name":38,"path":39,"parent_code":40},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":43,"locked":14,"version":44,"method":45,"evidence":46},"classified","2026-10-22.2","rules",{"candidates":47,"agricultural_evidence":49},[48,54,61,69,75,82],{"code":36,"score":20,"supported":49,"title":50,"abstract":52,"tags":53},true,[51],"smallholder",[51],[30],{"code":55,"score":56,"supported":49,"title":57,"abstract":59,"tags":60},"I1",11,[58],"smart agriculture",[58],[],{"code":62,"score":63,"supported":49,"title":64,"abstract":65,"tags":68},"I7",6,[],[66,67],"因果推断","causal inference",[],{"code":70,"score":71,"supported":49,"title":72,"abstract":73,"tags":74},"H7",5,[],[31],[32,31],{"code":76,"score":77,"supported":49,"title":78,"abstract":79,"tags":81},"I2",3,[],[80],"decision support",[],{"code":83,"score":22,"supported":14,"title":84,"abstract":85,"tags":86},"G1",[],[],[33],[88,89],"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":91,"openalex_id":93,"authors":94,"venue":10,"cited_by_count":112,"oa_url":6,"card":113,"direction":119,"ingested_from":120},"W7214752532",[95,98,100,102,104,106,108,110],{"name":96,"orcid":97},"Folasade Jokotade Odekunle","https:\u002F\u002Forcid.org\u002F0000-0001-8768-1045",{"name":99,"orcid":9},"Jechoniah AGABI",{"name":101,"orcid":9},"Idris O. JINADU",{"name":103,"orcid":9},"Gabriel O. Adebayo",{"name":105,"orcid":9},"Adedayo S. Adediran",{"name":107,"orcid":9},"Akeem Adewole",{"name":109,"orcid":9},"Segun S. Adelabu",{"name":111,"orcid":9},"Adedotun A. Adetunji",0,{"tldr":114,"method":115,"finding":116,"direction":117,"opportunity":118},"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。","数字乡村与农业信息化","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","openalex","2026-09-30T23:30:09.908940Z",{"total":63,"page":22,"page_size":63,"items":123},[124,187,255,309,373,464],{"id":125,"title":126,"url":127,"summary":128,"summary_zh":129,"content":9,"source_name":130,"source_url":127,"published_at":131,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":132,"sources":136,"tags":140,"primary_topic":142,"secondary_topics":143,"classification":144,"search_phrases":165,"slug":167,"view_count":22,"doi":168,"paper":169,"created_at":186},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。","Zenodo (CERN European Organization for Nuclear Research)","2026-09-18T00:00:00Z",{"impact":17,"substance":18,"depth":133,"authority":20,"freshness":134,"relevant":22,"comment":135},14,10,"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。",[137,138],{"name":130,"url":127},{"name":130,"url":139},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832902",[30,32,33,34,141],"农业信息获取",{"code":36,"slug":37,"name":38,"path":39,"parent_code":40},[],{"status":43,"locked":14,"version":44,"method":45,"evidence":145},{"candidates":146,"agricultural_evidence":49},[147,151,155,161],{"code":36,"score":19,"supported":49,"title":148,"abstract":149,"tags":150},[51],[30,51],[30],{"code":55,"score":56,"supported":49,"title":152,"abstract":153,"tags":154},[58],[58],[],{"code":70,"score":156,"supported":49,"title":157,"abstract":158,"tags":160},4,[],[159],"气候变化",[32],{"code":83,"score":22,"supported":14,"title":162,"abstract":163,"tags":164},[],[],[33],[88,166],"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":168,"openalex_id":170,"authors":171,"venue":130,"cited_by_count":112,"oa_url":127,"card":181,"direction":119,"ingested_from":120},"W7213579850",[172,174,175,176,178,179,180],{"name":173,"orcid":9},"Folasade J. Odekunle",{"name":99,"orcid":9},{"name":111,"orcid":9},{"name":177,"orcid":9},"Omotunde M. KILASHO",{"name":101,"orcid":9},{"name":103,"orcid":9},{"name":105,"orcid":9},{"tldr":182,"method":183,"finding":184,"direction":117,"opportunity":185},"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":188,"title":189,"url":190,"summary":191,"summary_zh":192,"content":9,"source_name":193,"source_url":190,"published_at":11,"category":12,"cover_url":9,"hotness":134,"is_selected":14,"score":15,"score_detail":194,"sources":197,"tags":199,"primary_topic":202,"secondary_topics":203,"classification":204,"search_phrases":230,"slug":233,"view_count":77,"doi":234,"paper":235,"created_at":254},3828,"Market Access and Adoption of Climate Smart Agriculture: A Systematic Review","https:\u002F\u002Fdoi.org\u002F10.3329\u002Fjbau.v24i3.93915","Market access is an important determinant influencing farmers’ adoption decisions by affecting prospective profitability, access to modern inputs, availability of information and extension services, and exposure to production and price risks. This systematic review is a synthesis of the evidence on the relationship between market access and CSA adoption in various agroecological settings. According to the PRISMA guidelines, five databases were used in the search: USDA Agricola, Semantic Scholar, DOAJ, EBSCOhost, and Google Scholar from which a total of 55 peer-reviewed studies were retrieved from 2015 to 2024. The results suggest that improved market access, as represented by lower transaction costs, better market information, proximity to markets, and better integration into the value chain in general, is conducive to the adoption of CSA. On the contrary, limited access to credit facilities, infrastructure and institutional support, poor market linkages and geographical isolation still hinder adoption, especially among resource-limited smallholders. The existing evidence is disjointed, and there was little research that focused on the individual influence of the various dimensions of market access on CSA adoption. Focused investigations by addressing this gap, particularly in the coastal areas of developing countries, would provide clear insights for policy formulation to enhance CSA adoption through improved market access. J Bangladesh Agril Univ 24(3): 334–345, 2026","市场准入通过影响预期盈利能力、现代投入品的获取、信息与推广服务的可得性以及生产和价格风险的暴露程度，成为影响农户采纳决策的重要决定因素。本系统综述综合了不同农业生态背景下市场准入与气候智能型农业（CSA）采纳之间关系的证据。根据PRISMA指南，检索使用了五个数据库：USDA Agricola、Semantic Scholar、DOAJ、EBSCOhost和Google Scholar，共获取2015年至2024年间发表的55篇同行评审研究。结果表明，以较低交易成本、更好的市场信息、靠近市场以及总体上更好地融入价值链为代表的市场准入改善，有利于气候智能型农业的采纳。相反，信贷设施、基础设施和制度支持获取有限、市场联系薄弱以及地理隔离仍然阻碍采纳，尤其是在资源有限的小农户中。现有证据较为零散，鲜有研究关注市场准入各维度对气候智能型农业采纳的单独影响。针对这一空白开展聚焦性研究，尤其是在发展中国家沿海地区，将为政策制定提供明确见解，以通过改善市场准入促进气候智能型农业的采纳。《孟加拉国农业大学学报》24(3)：334–345，2026","Journal of the Bangladesh Agricultural University",{"impact":17,"substance":18,"depth":195,"authority":20,"freshness":17,"relevant":22,"comment":196},16,"基于PRISMA的系统综述，梳理市场准入与气候智慧型农业采纳关系，结论可靠但属学术综述，公共影响有限。",[198],{"name":193,"url":190},[30,32,33,200,201],"技术采纳","市场准入",{"code":36,"slug":37,"name":38,"path":39,"parent_code":40},[],{"status":43,"locked":14,"version":44,"method":45,"evidence":205},{"candidates":206,"agricultural_evidence":49},[207,211,215,221,226],{"code":55,"score":17,"supported":49,"title":208,"abstract":209,"tags":210},[58],[],[],{"code":36,"score":156,"supported":49,"title":212,"abstract":213,"tags":214},[],[30],[30],{"code":216,"score":77,"supported":49,"title":217,"abstract":218,"tags":220},"H6",[],[219],"农业生态",[],{"code":83,"score":222,"supported":14,"title":223,"abstract":224,"tags":225},2,[],[],[33,200],{"code":70,"score":22,"supported":14,"title":227,"abstract":228,"tags":229},[],[],[32],[231,232],"气候智慧型农业 市场准入","气候智慧型农业 农业推广 市场准入 技术采纳","气候智慧型农业市场准入-3828","10.3329\u002Fjbau.v24i3.93915",{"doi":234,"openalex_id":236,"authors":237,"venue":193,"cited_by_count":112,"oa_url":190,"card":248,"direction":119,"ingested_from":120},"W7214807272",[238,240,243,246],{"name":239,"orcid":9},"Mahmuda Khanom",{"name":241,"orcid":242},"Md Kamrul Hasan","https:\u002F\u002Forcid.org\u002F0009-0008-5365-6616",{"name":244,"orcid":245},"Md. Ektear Uddin","https:\u002F\u002Forcid.org\u002F0000-0002-8003-8134",{"name":247,"orcid":9},"Md Mamun-ur Rashid",{"tldr":249,"method":250,"finding":251,"direction":252,"opportunity":253},"系统综述市场准入与气候智慧型农业采纳的关系，发现市场准入改善促进采纳。","按PRISMA指南检索5个数据库，纳入2015-2024年55篇同行评审研究。","市场准入改善促进CSA采纳，但信贷、基础设施和制度支持不足仍阻碍小农户采纳。","农业绿色发展与碳","可细分市场准入各维度对CSA采纳的独立影响，并聚焦发展中国家沿海地区开展实证研究。","2026-09-30T23:30:11.433120Z",{"id":256,"title":257,"url":258,"summary":259,"summary_zh":260,"content":9,"source_name":130,"source_url":258,"published_at":261,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":262,"score_detail":263,"sources":266,"tags":270,"primary_topic":273,"secondary_topics":274,"classification":275,"search_phrases":288,"slug":291,"view_count":71,"doi":292,"paper":293,"created_at":308},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。","2026-09-21T00:00:00Z",65,{"impact":17,"substance":264,"depth":195,"authority":20,"freshness":21,"relevant":22,"comment":265},20,"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。",[267,268],{"name":130,"url":258},{"name":130,"url":269},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22870011",[30,33,34,271,272],"农场预算","农业商业化",{"code":36,"slug":37,"name":38,"path":39,"parent_code":40},[],{"status":43,"locked":14,"version":44,"method":45,"evidence":276},{"candidates":277,"agricultural_evidence":49},[278,282],{"code":36,"score":19,"supported":49,"title":279,"abstract":280,"tags":281},[51],[30,51],[30],{"code":83,"score":283,"supported":49,"title":284,"abstract":285,"tags":287},7,[],[33,286],"agricultural extension",[33],[289,290],"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":292,"openalex_id":294,"authors":295,"venue":130,"cited_by_count":112,"oa_url":258,"card":302,"direction":307,"ingested_from":120},"W7213887499",[296,298,300],{"name":297,"orcid":9},"M.K. Idris",{"name":299,"orcid":9},"M. I. Fagge",{"name":301,"orcid":9},"U.S. Danjuma",{"tldr":303,"method":304,"finding":305,"direction":117,"opportunity":306},"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":310,"title":311,"url":312,"summary":313,"summary_zh":314,"content":9,"source_name":130,"source_url":312,"published_at":131,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":262,"score_detail":315,"sources":317,"tags":321,"primary_topic":324,"secondary_topics":325,"classification":326,"search_phrases":353,"slug":356,"view_count":22,"doi":357,"paper":358,"created_at":372},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":17,"substance":264,"depth":195,"authority":20,"freshness":21,"relevant":22,"comment":316},"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。",[318,319],{"name":130,"url":312},{"name":130,"url":320},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832941",[30,322,33,34,323],"气候智慧农业","农业信息",{"code":36,"slug":37,"name":38,"path":39,"parent_code":40},[],{"status":43,"locked":14,"version":44,"method":45,"evidence":327},{"candidates":328,"agricultural_evidence":49},[329,333,338,345,349],{"code":36,"score":19,"supported":49,"title":330,"abstract":331,"tags":332},[51],[30,51],[30],{"code":70,"score":283,"supported":49,"title":334,"abstract":335,"tags":337},[],[31,336],"drought",[322],{"code":339,"score":63,"supported":49,"title":340,"abstract":341,"tags":344},"A7",[],[342,343],"轮作","crop rotation",[],{"code":55,"score":77,"supported":49,"title":346,"abstract":347,"tags":348},[],[58],[],{"code":83,"score":22,"supported":14,"title":350,"abstract":351,"tags":352},[],[],[33],[354,355],"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":357,"openalex_id":359,"authors":360,"venue":130,"cited_by_count":112,"oa_url":312,"card":367,"direction":119,"ingested_from":120},"W7213578578",[361,362,363,364,365,366],{"name":173,"orcid":9},{"name":111,"orcid":9},{"name":101,"orcid":9},{"name":105,"orcid":9},{"name":103,"orcid":9},{"name":107,"orcid":9},{"tldr":368,"method":369,"finding":370,"direction":117,"opportunity":371},"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":374,"title":375,"url":376,"summary":377,"summary_zh":378,"content":9,"source_name":379,"source_url":376,"published_at":380,"category":12,"cover_url":9,"hotness":134,"is_selected":14,"score":381,"score_detail":382,"sources":384,"tags":386,"primary_topic":389,"secondary_topics":395,"classification":402,"search_phrases":442,"slug":445,"view_count":112,"doi":446,"paper":447,"created_at":463},5478,"Characterisation of Food Security Situation for Smallholder Farmers in Zvimba","https:\u002F\u002Fdoi.org\u002F10.71458\u002Frx0qpm30","This study provides a comprehensive analysis of the food security situation among smallholder farmers (SHFs) in Zvimba District, Zimbabwe. Smallholder agriculture is the bedrock of Zimbabwe's food system, yet it remains highly vulnerable to a complex array of shocks and stressors. Using a mixed-methods approach, this research investigates the prevalence, drivers and lived experiences of food insecurity within this community. A structured survey was administered to 412 randomly selected smallholder households across the district's wards. The quantitative data were supplemented by 12 Focus Group Discussions (FGDs) and 24 Key Informant Interviews (KIIs) with farmers, community leaders and agricultural extension officers to capture qualitative nuances. The study is grounded in the Food Security Theory (FST), which conceptualises food security through its four pillars: food availability, food access, food utilisation and food stability. Findings reveal a precarious food security situation. Quantitatively, 78.4% of households were found to be food insecure, with an average Hunger Months Index of 4.7 months per year. The study identifies a significant disconnect between maize production, the national staple and household consumption, with over 65% of households failing to produce enough maize to meet their annual requirements. Qualitative data illuminated the multi-faceted drivers of this insecurity. Key points to note include climate change whereby erratic rainfall and prolonged mid-season dry spells were consistently reported as the primary production challenges, limited access to farming inputs whereby high costs and unreliable supplies of certified seeds, fertilizers and agro[1]chemicals constrain productivity. Morelso, socio-economic factors such as poverty, lack of viable alternative livelihoods and limited access to formal credit perpetuate a cycle of vulnerability. In addition, institutional weaknesses, for example, challenges with agricultural extension services and market inefficiencies, exacerbate the situation. The study concludes that food insecurity in Zvimba is not merely a problem of food production, but is deeply rooted in structural issues affecting food access, food utilisation, as well as food stability. Recommendations are proposed for a multi-sectoral approach, including promoting Climate-Smart Agriculture (CSA) and drought-resistant crops, strengthening input support systems and rural finance, diversifying livelihood strategies and enhancing the capacity of extension services. This research contributes to a deeper understanding of the localised dynamics of food security and provides evidence-based guidance for policymakers, development practitioners and the farmers of Zvimba themselves.","本研究对津巴布韦兹维姆巴区小农户（smallholder farmers, SHFs）的粮食安全状况进行了全面分析。小农农业是津巴布韦粮食体系的基石，但仍极易受到一系列复杂冲击和压力的影响。本研究采用混合方法，考察了该社区粮食不安全的普遍程度、驱动因素及生活体验。研究对该区各选区随机抽取的412户小农户进行了结构化问卷调查。定量数据辅以12次焦点小组讨论（FGDs）和24次关键知情人访谈（KIIs），访谈对象包括农民、社区领袖和农业推广人员，以捕捉定性层面的细微差异。本研究以粮食安全理论（Food Security Theory, FST）为基础，该理论通过四大支柱界定粮食安全：粮食可供性、粮食获取、粮食利用和粮食稳定性。研究结果揭示了严峻的粮食安全形势。定量数据显示，78.4%的家庭存在粮食不安全，年均饥饿月份指数为4.7个月。研究发现，玉米产量——该国主粮——与家庭消费之间存在显著脱节，超过65%的家庭生产的玉米不足以满足其年度需求。定性数据揭示了这一不安全状况的多重驱动因素。值得注意的要点包括：气候变化，即降雨不稳定和持续的中期干旱被一致报告为主要生产挑战；农业投入品获取受限，即认证种子、化肥和农用化学品成本高昂且供应不可靠，制约了生产力。此外，贫困、缺乏可行的替代生计以及正规信贷获取受限等社会经济因素使脆弱性循环持续存在。此外，制度薄弱环节，例如农业推广服务面临的挑战和市场效率低下，加剧了这一状况。研究得出结论，兹维姆巴的粮食不安全不仅仅是粮食生产问题，而是深深植根于影响粮食获取、粮食利用以及粮食稳定性的结构性问题。研究提出了采取多部门方法的建议，包括推广气候智能型农业（Climate-Smart Agriculture, CSA）和抗旱作物、加强投入品支持体系和农村金融、多样化生计策略以及增强","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations","2026-10-20T00:00:00Z",55,{"impact":17,"substance":18,"depth":19,"authority":63,"freshness":17,"relevant":22,"comment":383},"基于412户调查与混合方法的扎实实证研究，但属津巴布韦地方性案例，公共影响与信源权威度有限，可作参考而非每日精选。",[385],{"name":379,"url":376},[387,30,322,33,388],"粮食安全","津巴布韦",{"code":390,"slug":391,"name":392,"path":393,"parent_code":394},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[396,397],{"code":36,"slug":37,"name":38,"path":39,"parent_code":40},{"code":70,"slug":398,"name":399,"path":400,"parent_code":401},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":43,"locked":14,"version":44,"method":45,"evidence":403},{"candidates":404,"agricultural_evidence":49},[405,410,414,420,424,431,438],{"code":390,"score":19,"supported":49,"title":406,"abstract":408,"tags":409},[407],"food security",[387,407],[387],{"code":36,"score":19,"supported":49,"title":411,"abstract":412,"tags":413},[51],[30,51],[30],{"code":70,"score":134,"supported":49,"title":415,"abstract":416,"tags":419},[],[159,417,418,336],"干旱","climate change",[322],{"code":83,"score":283,"supported":49,"title":421,"abstract":422,"tags":423},[],[33,286],[33],{"code":425,"score":63,"supported":49,"title":426,"abstract":427,"tags":430},"A3",[],[428,429],"玉米","maize",[],{"code":432,"score":63,"supported":49,"title":433,"abstract":434,"tags":437},"G3",[],[435,436],"农村金融","rural finance",[],{"code":55,"score":77,"supported":49,"title":439,"abstract":440,"tags":441},[],[58],[],[443,444],"Zvimba 小农户 粮食安全","津巴布韦 小农 玉米","Zvimba小农户粮食安全-5478","10.71458\u002Frx0qpm30",{"doi":446,"openalex_id":448,"authors":449,"venue":379,"cited_by_count":112,"oa_url":9,"card":458,"direction":119,"ingested_from":120},"W7223029383",[450,453,456],{"name":451,"orcid":452},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":454,"orcid":455},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":457,"orcid":9},"Patience Mutopo",{"tldr":459,"method":460,"finding":461,"direction":117,"opportunity":462},"调查津巴布韦Zvimba小农户粮食安全状况，分析其普遍性、成因与实际体验。","混合方法：412户问卷、12场焦点小组、24个关键人物访谈，基于粮食安全四支柱理","78.4%家庭粮食不安全，年均饥饿月4.7个月，主因是气候、投入、社会经济与制度等结构性问题。","可探索用移动端问卷与遥感产量监测构建小农户粮食安全动态预警与精准干预系统。","2026-10-21T23:30:08.937079Z",{"id":465,"title":466,"url":467,"summary":468,"summary_zh":469,"content":9,"source_name":470,"source_url":467,"published_at":471,"category":12,"cover_url":9,"hotness":134,"is_selected":14,"score":472,"score_detail":473,"sources":478,"tags":480,"primary_topic":484,"secondary_topics":485,"classification":486,"search_phrases":501,"slug":504,"view_count":112,"doi":505,"paper":506,"created_at":525},5105,"Behavioral Readiness for Climate‐Smart Agriculture Adoption Among Smallholder Farmers in Southwest Ethiopia","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fcli2.70071","ABSTRACT Understanding the behavioral mechanisms underlying farmers' readiness to adopt climate‐smart agriculture (CSA) is important for informing climate adaptation efforts. This study examines CSA adoption readiness among 384 smallholder farmers in Kaffa zone, Southwest Ethiopia, using covariance‐based structural equation modeling. The study extends the Theory of Planned Behavior by incorporating technology perceptions, previous CSA experience, risk aversion, and institutional support. The result shows attitude, subjective norms, perceived behavioral control (PBC), perceived ease of use, previous CSA adoption experience, and institutional support were positively associated with CSA adoption readiness, whereas perceived usefulness and risk aversion were not significant. Perceived ease of use showed the strongest association with adoption intention ( β = 0.377, p = 0.001). Institutional support was positively associated with PBC ( β = 0.243, p \u003C 0.001) and future intention ( β = 0.112, p = 0.030), explaining 5.9% of variance in PBC and 41.4% of the variance in adoption readiness. PBC showed a significant indirect association between institutional support and future intention ( β = 0.058, p = 0.013; 95% bootstrap CI: 0.015–0.102), alongside a remaining direct association. The significant indirect association through perceived behavioral control suggests that farmers’ perceptions of their ability to implement CSA may represent an important pathway linking institutional support with adoption intentions. The findings highlight the relevance of integrating institutional support with efforts to strengthen farmers' perceived capability to implement CSA and to enhance behavioural readiness for future adoption.","摘要 理解农户采用气候智慧型农业（CSA）意愿背后的行为机制，对于为气候适应工作提供依据具有重要意义。本研究采用基于协方差的结构方程模型，考察了埃塞俄比亚西南部卡法地区384户小农户的CSA采用意愿。研究在计划行为理论的基础上，纳入了技术感知、既往CSA经验、风险规避和制度支持。结果表明，态度、主观规范、感知行为控制（PBC）、感知易用性、既往CSA采用经验和制度支持与CSA采用意愿呈正相关，而感知有用性和风险规避则不显著。感知易用性与采用意愿的关联最强（β = 0.377，p = 0.001）。制度支持与PBC（β = 0.243，p \u003C 0.001）和未来意愿（β = 0.112，p = 0.030）呈正相关，分别解释了PBC方差的5.9%和采用意愿方差的41.4%。PBC在制度支持与未来意愿之间表现出显著的间接关联（β = 0.058，p = 0.013；95% bootstrap CI：0.015–0.102），同时仍存在直接关联。通过感知行为控制产生的显著间接关联表明，农户对自身实施CSA能力的感知可能是连接制度支持与采用意愿的重要路径。研究结果凸显了将制度支持与增强农户实施CSA的感知能力、提升未来采用行为意愿的努力相结合的重要性。","Climate Resilience and Sustainability","2026-10-14T00:00:00Z",67,{"impact":17,"substance":474,"depth":475,"authority":476,"freshness":17,"relevant":22,"comment":477},21,17,13,"基于扩展计划行为理论对埃塞俄比亚小农户气候智慧型农业采纳意愿的实证研究，方法规范、数据扎实，但属区域性学术成果，对国内农业信息化实践的直接参考价值有限。",[479],{"name":470,"url":467},[30,32,481,482,483],"埃塞俄比亚","采纳意愿","行为机制",{"code":36,"slug":37,"name":38,"path":39,"parent_code":40},[],{"status":43,"locked":14,"version":44,"method":45,"evidence":487},{"candidates":488,"agricultural_evidence":49},[489,493,497],{"code":36,"score":19,"supported":49,"title":490,"abstract":491,"tags":492},[51],[30,51],[30],{"code":55,"score":56,"supported":49,"title":494,"abstract":495,"tags":496},[58],[58],[],{"code":70,"score":156,"supported":49,"title":498,"abstract":499,"tags":500},[],[31],[32],[502,503],"埃塞俄比亚 小农户 气候智慧型农业","气候智慧型农业 埃塞俄比亚 行为机制 采纳意愿","埃塞俄比亚小农户气候智慧型农业-5105","10.1002\u002Fcli2.70071",{"doi":505,"openalex_id":507,"authors":508,"venue":470,"cited_by_count":112,"oa_url":519,"card":520,"direction":252,"ingested_from":120},"W7222349215",[509,512,514,517],{"name":510,"orcid":511},"Tesfaye Gafaro","https:\u002F\u002Forcid.org\u002F0009-0006-7838-5264",{"name":513,"orcid":9},"Kassa Tarekegn Erekalo",{"name":515,"orcid":516},"Fresenbet Zeleke","https:\u002F\u002Forcid.org\u002F0000-0002-9792-9240",{"name":518,"orcid":9},"Sime Shiferaw","https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002Fpdfdirect\u002F10.1002\u002Fcli2.70071",{"tldr":521,"method":522,"finding":523,"direction":117,"opportunity":524},"基于扩展计划行为理论，分析埃塞俄比亚小农户气候智慧型农业采纳意愿的行为机制。","对384户小农户问卷调查，用协方差结构方程模型分析。","感知易用性影响最强，制度支持通过感知行为控制间接提升采纳意愿。","可探索数字服务与制度支持如何协同提升农户感知能力，促进气候智慧型农业采纳。","2026-10-16T23:31:01.112802Z"]