[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3154":3,"related-3154":58},{"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,"search_phrases":30,"slug":33,"view_count":34,"doi":35,"paper":36,"created_at":57},3154,"The Role of Agricultural Extension Services in Promoting Climate-Smart Agriculture Adoption among Smallholder Farmers in Mwingi West sub-county Kitui County, Kenya","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fajaees\u002F2026\u002Fv44i103022","Agricultural extension services provide smallholder farmers with knowledge, technical guidance, and advisory support that can facilitate the adoption of climate-smart agricultural (CSA) practices. This study examined the role of agricultural extension services in promoting CSA adoption among smallholder farmers in Mwingi West Sub-County, Kitui County, Kenya. A cross-sectional mixed-methods design was used. Quantitative data were collected from 200 randomly selected farmers through structured questionnaires, while qualitative evidence was obtained from 10 agricultural extension officers and 10 focus group discussions with farmer groups. Quantitative data were analysed using descriptive statistics and the chi-square test of independence. Significant associations were reported between CSA adoption and access to agricultural extension services, the source of extension information, type of extension support received, frequency of extension contact, perceived usefulness of extension services, CSA practices promoted through extension, and farmers’ perceived influence of extension services on adoption. Most respondents (82.0%) had access to extension services. Extension agents were the main information source (46.0%), and technical training was the most frequently reported support (38.0%). Conservation agriculture (30.0%), agroforestry (22.0%), and water harvesting (19.0%) were the leading practices promoted through extension activities. Nearly half of respondents (48.0%) reported that extension services had increased CSA adoption to a great extent. The findings indicate that accessible, practical, and regular extension support is closely associated with CSA adoption in the study area.","农业推广服务为小农户提供知识、技术指导和咨询服务，有助于促进气候智能型农业（CSA）实践的采纳。本研究考察了农业推广服务在促进肯尼亚基图伊县姆温吉西分区小农户采纳气候智能型农业实践中的作用。研究采用横断面混合方法设计。定量数据通过结构化问卷从200名随机抽取的农户中收集，定性证据则来自10名农业推广官员以及10次农户小组焦点小组讨论。定量数据采用描述性统计和卡方独立性检验进行分析。结果显示，气候智能型农业实践的采纳与以下因素存在显著关联：能否获得农业推广服务、推广信息来源、所获推广支持类型、推广接触频率、推广服务的感知有用性、通过推广所宣传的气候智能型农业实践，以及农户对推广服务在采纳过程中影响力的感知。大多数受访者（82.0%）能够获得推广服务。推广人员是主要的信息来源（46.0%），技术培训是最常报告的支持类型（38.0%）。通过推广活动宣传的主要实践包括保护性农业（30.0%）、农林业（22.0%）和雨水收集（19.0%）。近半数受访者（48.0%）表示推广服务在很大程度上提高了气候智能型农业实践的采纳率。研究结果表明，在研究区域内，可及、实用且定期的推广支持与气候智能型农业实践的采纳密切相关。",null,"Asian Journal of Agricultural Extension Economics & Sociology","2026-09-22T00:00:00Z","论文",10,false,65,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},8,20,15,12,1,"基于肯尼亚小农户的实证研究，数据翔实但地域性强，对国内三农信息化参考价值有限，可作国际经验收录。",[24],{"name":10,"url":6},[26,27,28,29],"肯尼亚","小农户","气候智慧农业","农业推广",[31,32],"气候智慧农业 农业推广 小农户 肯尼亚","气候智慧农业 农业推广","气候智慧农业农业推广小农户肯尼亚-3154",0,"10.9734\u002Fajaees\u002F2026\u002Fv44i103022",{"doi":35,"openalex_id":37,"authors":38,"venue":10,"cited_by_count":34,"oa_url":6,"card":49,"direction":55,"ingested_from":56},"W7213979623",[39,41,43,45,47],{"name":40,"orcid":9},"Simon Mbala",{"name":42,"orcid":9},"David Kawioo Mwanzia",{"name":44,"orcid":9},"Thomas Ekamais Akuja",{"name":46,"orcid":9},"Felix Ngunzo Kioli",{"name":48,"orcid":9},"Harrison Musyoka Maithya",{"tldr":50,"method":51,"finding":52,"direction":53,"opportunity":54},"研究肯尼亚小农户中农业推广服务对气候智慧型农业采纳的促进作用。","混合方法，200份农户问卷、10名推广员访谈和10组焦点小组，卡方检验。","推广服务可及性、信息源、支持类型和接触频率与CSA采纳显著相关，82%农户有推广服务。","数字乡村与农业信息化","可探索数字推广渠道（如手机短信、APP）如何替代或补充传统推广员，提升小农户CSA采纳率。","智慧农业 \u002F 农业物联网","openalex","2026-09-22T23:30:10.323072Z",{"total":59,"page":21,"page_size":59,"items":60},6,[61,100,144,181,218,256],{"id":62,"title":63,"url":64,"summary":65,"summary_zh":66,"content":9,"source_name":67,"source_url":64,"published_at":68,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":69,"score_detail":70,"sources":74,"tags":76,"search_phrases":79,"slug":81,"view_count":34,"doi":82,"paper":83,"created_at":99},3059,"Climate Smart Agriculture and Food Security among Rural Farmers in Nasarawa State, Nigeria","https:\u002F\u002Fdoi.org\u002F10.67317\u002Fijmsrt26sep046","Climate change continues to threaten agricultural productivity and household food security, particularly among rural farmers who depend on rain-fed agriculture. This study examined climate smart agriculture and food security among rural farmers in Nasarawa State, Nigeria. Specifically, it assessed the extent of adoption of climatesmart agricultural practices and examined their influence on household food security. A mixed-methods descriptive survey design was adopted. Data were collected from 372 rural farming households using structured questionnaires, while Key Informant Interviews were conducted with agricultural extension officers and community leaders. Secondary data were obtained from relevant journal articles, government publications, and reports. Quantitative data were analyzed using frequency tables and percentages and presented with bar charts, while qualitative data were transcribed, interpreted, and integrated with the quantitative findings. The study found that climate-smart agricultural practices significantly enhanced household food security, with 86% of the respondents indicating that the practices strengthened their resilience to climate change, while 85% reported improved household food availability. The study concludes that climate-smart agriculture is an effective approach for improving the livelihoods and food security of rural farming households in Nasarawa State. The study recommends that the Nasarawa State Agricultural Development Programme (NADP), in collaboration with the State Ministry of Agriculture and agricultural extension agencies, should strengthen extension services by providing regular farmer training, climate information, and access to climate-smart agricultural technologies to promote wider adoption and enhance household food security.","气候变化持续威胁农业生产力和家庭粮食安全，尤其是依赖雨养农业的农村农民。本研究考察了尼日利亚纳萨拉瓦州农村农民的气候智能型农业与粮食安全状况。具体而言，研究评估了气候智能型农业实践的采用程度，并考察了其对家庭粮食安全的影响。研究采用混合方法描述性调查设计。通过结构化问卷从372个农村农户收集数据，同时对农业推广官员和社区领袖进行了关键信息人访谈。二手数据来源于相关期刊文章、政府出版物和报告。定量数据采用频数表和百分比进行分析，并以柱状图呈现；定性数据经转录、解释后与定量研究结果进行整合。研究发现，气候智能型农业实践显著增强了家庭粮食安全，86%的受访者表示这些实践增强了其应对气候变化的能力，85%的受访者报告家庭粮食可获得性有所改善。研究结论认为，气候智能型农业是改善纳萨拉瓦州农村农户生计和粮食安全的有效途径。研究建议，纳萨拉瓦州农业发展计划（NADP）应与州农业部和农业推广机构合作，通过提供定期农民培训、气候信息和气候智能型农业技术获取渠道来加强推广服务，以促进更广泛的采用并增强家庭粮食安全。","International Journal of Modern Science and Research Technology","2026-09-20T00:00:00Z",56,{"impact":17,"substance":71,"depth":19,"authority":59,"freshness":72,"relevant":21,"comment":73},18,9,"尼日利亚地方性实证研究，样本372户、结论明确，但影响范围限于区域，对国内三农信息化参考价值有限，不宜进入每日精选。",[75],{"name":67,"url":64},[77,27,28,29,78],"粮食安全","尼日利亚",[80,32],"气候智慧农业 农业推广 尼日利亚 粮食安全","气候智慧农业农业推广尼日利亚粮食安全-3059","10.67317\u002Fijmsrt26sep046",{"doi":82,"openalex_id":84,"authors":85,"venue":67,"cited_by_count":34,"oa_url":92,"card":93,"direction":55,"ingested_from":56},"W7213778728",[86,88,90],{"name":87,"orcid":9},"ABDULLAHI YUSUF AGWAI",{"name":89,"orcid":9},"Falalu Mohommed Mohammmed",{"name":91,"orcid":9},"A. S. Ogah","https:\u002F\u002Fijmsrt.com\u002Fstorages\u002Fdownload-paper\u002FIJMSRT26SEP046",{"tldr":94,"method":95,"finding":96,"direction":97,"opportunity":98},"研究尼日利亚纳萨拉瓦州农户采用气候智慧型农业对家庭粮食安全的影响。","混合方法调查，372户问卷加关键知情人访谈，频数百分比分析。","86%受访者认为气候智慧型农业增强了气候韧性，85%报告家庭粮食供应改善。","农业绿色发展与碳","可探索气候智慧型农业技术采纳的驱动因素与推广机制，或结合数字工具提升气候信息可达性。","2026-09-21T23:30:09.323035Z",{"id":101,"title":102,"url":103,"summary":104,"summary_zh":105,"content":9,"source_name":106,"source_url":103,"published_at":107,"category":12,"cover_url":9,"hotness":108,"is_selected":14,"score":15,"score_detail":109,"sources":112,"tags":116,"search_phrases":118,"slug":121,"view_count":34,"doi":122,"paper":123,"created_at":143},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。","Zenodo (CERN European Organization for Nuclear Research)","2026-09-18T00:00:00Z",25,{"impact":17,"substance":18,"depth":110,"authority":20,"freshness":72,"relevant":21,"comment":111},16,"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。",[113,114],{"name":106,"url":103},{"name":106,"url":115},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832941",[27,28,29,78,117],"农业信息",[119,120],"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":122,"openalex_id":124,"authors":125,"venue":106,"cited_by_count":34,"oa_url":103,"card":138,"direction":55,"ingested_from":56},"W7213578578",[126,128,130,132,134,136],{"name":127,"orcid":9},"Folasade J. Odekunle",{"name":129,"orcid":9},"Adedotun A. Adetunji",{"name":131,"orcid":9},"Idris O. JINADU",{"name":133,"orcid":9},"Adedayo S. Adediran",{"name":135,"orcid":9},"Gabriel O. Adebayo",{"name":137,"orcid":9},"Akeem Adewole",{"tldr":139,"method":140,"finding":141,"direction":53,"opportunity":142},"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":145,"title":146,"url":147,"summary":148,"summary_zh":149,"content":9,"source_name":150,"source_url":147,"published_at":151,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":152,"score_detail":153,"sources":155,"tags":157,"search_phrases":160,"slug":163,"view_count":34,"doi":164,"paper":165,"created_at":180},2142,"Analyzing the Socio-Economic and Institutional Determinants of Climate-Smart Agricultural Practices Adoption among Smallholder Green Gram Farmers in Masinga Sub-County, Kenya","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fjeai\u002F2026\u002Fv48i104499","Climate-smart agriculture (CSA) holds significant potential for enhancing productivity and climate resilience among smallholder farmers. In Masinga Sub-County, approximately 9,900 green gram farmers face erratic rainfall, droughts, and soil degradation, resulting in mean yields of only 460 kg\u002Fha against a potential of 1.5 tons\u002Fha. This study examined the socio-economic and institutional determinants, incentives, and constraints influencing CSA adoption. Anchored in the Theory of Planned Behavior and the Technology Acceptance Model, the study employed a descriptive cross-sectional design. Data were collected using semi-structured questionnaires administered to 390 green gram farmers selected through stratified random sampling across the five wards of Masinga Sub-County. Data were analysed using descriptive statistics in SPSS Version 29. Results showed that 54.0% of respondents had adopted at least two CSA practices, with drought-resistant seed varieties (43.2%) and minimum tillage (42.4%) being the most common. The binary logistic regression model demonstrated a good fit (McFadden Pseudo R² = 0.395; overall classification accuracy = 80.4%) and identified significant positive predictors: access to input subsidies (OR = 2.33, p \u003C 0.001), perceived government policy support (OR = 2.37, p = 0.002), annual household income (OR = 2.09, p = 0.006), and market linkages (OR = 1.74, p = 0.049). High input costs were the main significant barrier (OR = 0.42, p = 0.002). Thematic analysis confirmed infrastructure deficits, financial barriers, and awareness gaps as interconnected obstacles. The study findings provided valuable insights for the academic literature by addressing gaps in research on CSA adoption in semi-arid regions, particularly for drought-prone crops like green gram. Additionally, the study findings benefit policymakers by offering data-driven recommendations for designing and developing policies that enhance CSA adoption and sustainability in smallholder farming. Agricultural extension services and development organisations may use these findings to design targeted programmes that address key incentives and constraints. The study concluded that income level and access to input subsidies were the primary drivers of CSA adoption, while high input costs constituted the foremost structural barrier, with incentives and constraints each operating as integrated, mutually reinforcing systems rather than isolated factors.","气候智慧型农业（Climate-Smart Agriculture, CSA）在提升小农户生产力和气候韧性方面具有显著潜力。在马辛加分区，约9900名绿豆种植户面临降雨不规律、干旱和土壤退化等问题，平均产量仅为460公斤\u002F公顷，而潜在产量可达1.5吨\u002F公顷。本研究考察了影响气候智慧型农业采纳的社会经济与制度性决定因素、激励因素及制约因素。研究以计划行为理论和技术接受模型为理论基础，采用描述性横断面设计。数据通过半结构化问卷收集，调查对象为通过分层随机抽样在马辛加分区五个选区选取的390名绿豆种植户。数据使用SPSS第29版进行描述性统计分析。结果显示，54.0%的受访者至少采纳了两项气候智慧型农业措施，其中抗旱种子品种（43.2%）和少耕\u002F免耕（42.4%）最为常见。二元逻辑回归模型拟合良好（McFadden伪R²=0.395；总体分类准确率=80.4%），并识别出显著的正向预测因素：获得投入品补贴（OR=2.33，p\u003C0.001）、感知到的政府政策支持（OR=2.37，p=0.002）、家庭年收入（OR=2.09，p=0.006）以及市场联结（OR=1.74，p=0.049）。高投入成本是主要显著障碍（OR=0.42，p=0.002）。主题分析证实，基础设施不足、资金障碍和认知差距是相互关联的障碍。本研究发现通过填补半干旱地区气候智慧型农业采纳研究中的空白，特别是针对绿豆等易旱作物，为学术文献提供了有价值的见解。此外，本研究发现为政策制定者提供了基于数据的建议，有助于设计和制定促进小农农业中气候智慧型农业采纳与可持续性的政策。农业推广服务机构和发展组织可利用这些发现设计有针对性的项目，以解决关键激励因素和制约因素。研究结论认为，收入水平和获得投入品补贴是气候智慧型农业采纳的主要驱动因素，而高投入成本构成首要结构性障碍，激励因素与制约因素各自作为相互关联、相互强化的系统发挥作用，而非孤立因素。","Journal of Experimental Agriculture International","2026-09-10T00:00:00Z",69,{"impact":20,"substance":18,"depth":110,"authority":20,"freshness":72,"relevant":21,"comment":154},"基于390户小农调查的实证研究，量化了补贴、政策支持与收入对气候智慧农业采纳的影响，数据扎实但属区域性案例，公共影响有限。",[156],{"name":150,"url":147},[26,158,27,28,159],"绿豆","技术采纳",[161,162],"气候智慧农业 技术采纳 小农户 肯尼亚","气候智慧农业 技术采纳","气候智慧农业技术采纳小农户肯尼亚-2142","10.9734\u002Fjeai\u002F2026\u002Fv48i104499",{"doi":164,"openalex_id":166,"authors":167,"venue":150,"cited_by_count":34,"oa_url":147,"card":175,"direction":55,"ingested_from":56},"W7212140110",[168,170,172],{"name":169,"orcid":9},"Anna Ndunge Mutinda",{"name":171,"orcid":9},"Martin Kagiki Njogu",{"name":173,"orcid":174},"Pauline Micheni Kananu","https:\u002F\u002Forcid.org\u002F0000-0003-1795-345X",{"tldr":176,"method":177,"finding":178,"direction":53,"opportunity":179},"研究肯尼亚Masinga小农户绿豆种植采纳气候智慧农业的社会经济与制度决定因素。","对390户分层随机抽样问卷，用SPSS做描述统计与二元逻辑回归。","收入、投入补贴、政策支持与市场联系促进采纳，高投入成本是主要障碍。","可探索将补贴、市场与推广服务数字化联动，构建小农户CSA采纳决策支持系统。","2026-09-11T23:30:10.306285Z",{"id":182,"title":183,"url":184,"summary":185,"summary_zh":186,"content":9,"source_name":106,"source_url":184,"published_at":187,"category":12,"cover_url":9,"hotness":108,"is_selected":14,"score":15,"score_detail":188,"sources":190,"tags":194,"search_phrases":197,"slug":200,"view_count":34,"doi":201,"paper":202,"created_at":217},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",{"impact":17,"substance":18,"depth":110,"authority":20,"freshness":72,"relevant":21,"comment":189},"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。",[191,192],{"name":106,"url":184},{"name":106,"url":193},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22870011",[27,29,78,195,196],"农场预算","农业商业化",[198,199],"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":201,"openalex_id":203,"authors":204,"venue":106,"cited_by_count":34,"oa_url":184,"card":211,"direction":216,"ingested_from":56},"W7213887499",[205,207,209],{"name":206,"orcid":9},"M.K. Idris",{"name":208,"orcid":9},"M. I. Fagge",{"name":210,"orcid":9},"U.S. Danjuma",{"tldr":212,"method":213,"finding":214,"direction":53,"opportunity":215},"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":219,"title":220,"url":221,"summary":222,"summary_zh":223,"content":9,"source_name":224,"source_url":221,"published_at":187,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":225,"score_detail":226,"sources":229,"tags":231,"search_phrases":234,"slug":237,"view_count":34,"doi":238,"paper":239,"created_at":255},3148,"Factors influencing the adoption of climate-smart agriculture practices among smallholder farmers in Melani and Msobomvu villages, Eastern Cape Province","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1869050","Climate-Smart Agriculture (CSA) is widely recognised as an effective approach for improving agricultural productivity, strengthening resilience to climate change, and enhancing food security among small-scale farmers. However, the adoption of CSA practices remains uneven in many rural communities, including Melani and Msobomvu villages in the Raymond Mhlaba Local Municipality, Eastern Cape Province, South Africa. This study investigated farmers’ awareness and understanding of climate-smart agriculture practices, identified the barriers limiting CSA adoption, and examined the socio-economic and institutional factors influencing adoption decisions. A descriptive research design within a quantitative research approach was employed. Data were collected from 158 randomly selected small-scale farmers using a structured questionnaire and analysed using descriptive statistics, including frequencies, percentages, means, and standard deviations. One-Way Analysis of Variance (ANOVA) was used to determine the significance of selected socio-economic and institutional factors influencing CSA adoption. The findings revealed that respondents generally possessed a good awareness and understanding of climate-smart agriculture practices, although awareness differed across technologies. Rainwater harvesting (80%), crop diversification (71%), conservation agriculture (68%), and soil conservation (68%) recorded the highest levels of awareness, whereas awareness was comparatively lower for drought-tolerant crop varieties (57%), climate information services (55%), and improved livestock management (49%). The study further identified farmer resistance to change, inadequate financial resources, and limited extension materials as the major barriers limiting CSA adoption. One-Way ANOVA indicated that financial constraints, market access, knowledge of climate-smart agriculture technologies, and extension support were statistically significant factors influencing adoption decisions ( p \u003C 0.05).","气候智慧型农业（Climate-Smart Agriculture, CSA）被广泛认为是提高农业生产率、增强气候变化适应能力以及改善小农户粮食安全的有效途径。然而，在许多农村社区，包括南非东开普省雷蒙德·姆拉巴地方自治市内的梅拉尼和姆索博姆武两个村庄，气候智慧型农业实践的采用仍然不均衡。本研究调查了农民对气候智慧型农业实践的认识和理解，识别了限制气候智慧型农业采用的障碍，并考察了影响采用决策的社会经济与制度因素。研究采用定量研究路径下的描述性研究设计，通过结构化问卷从158名随机选取的小农户中收集数据，并运用描述性统计方法（包括频数、百分比、均值和标准差）进行分析。采用单因素方差分析（One-Way ANOVA）确定所选社会经济与制度因素对气候智慧型农业采用影响的显著性。研究结果表明，受访者总体上对气候智慧型农业实践具有较好的认识和理解，但不同技术之间的认知水平存在差异。雨水收集（80%）、作物多样化（71%）、保护性农业（68%）和土壤保持（68%）的认知度最高，而耐旱作物品种（57%）、气候信息服务（55%）和改良牲畜管理（49%）的认知度相对较低。研究进一步识别出农民对变革的抵触、资金资源不足以及推广材料有限是限制气候智慧型农业采用的主要障碍。单因素方差分析表明，资金约束、市场准入、气候智慧型农业技术知识和推广支持是影响采用决策的统计显著因素（p \u003C 0.05）。","Frontiers in Sustainable Food Systems",63,{"impact":17,"substance":71,"depth":19,"authority":227,"freshness":72,"relevant":21,"comment":228},13,"以南非东开普省两个村庄158户小农为样本，量化了气候智慧农业采纳的显著影响因素，方法规范、数据具体，但属区域案例研究，公共影响层级有限。",[230],{"name":224,"url":221},[27,28,159,232,233],"南非农业","推广服务",[235,236],"Eastern Cape 小农户 气候智慧农业","Raymond Mhlaba 农业技术采纳","EasternCape小农户气候智慧农业-3148","10.3389\u002Ffsufs.2026.1869050",{"doi":238,"openalex_id":240,"authors":241,"venue":224,"cited_by_count":34,"oa_url":221,"card":250,"direction":55,"ingested_from":56},"W7213921129",[242,244,247],{"name":243,"orcid":9},"Sibonise Lufume",{"name":245,"orcid":246},"L. Gwala","https:\u002F\u002Forcid.org\u002F0000-0002-0186-050X",{"name":248,"orcid":249},"Leocadia Zhou","https:\u002F\u002Forcid.org\u002F0000-0002-0344-4710",{"tldr":251,"method":252,"finding":253,"direction":53,"opportunity":254},"研究南非东开普省小农户对气候智慧型农业的认知、障碍及影响因素。","对158户小农问卷调查，用描述统计与单因素方差分析。","农户认知较高但采用不均，资金、市场、知识与推广支持显著影响采用。","可探索气候信息服务与推广数字化如何降低小农采用气候智慧型农业的障碍。","2026-09-22T23:30:08.462412Z",{"id":257,"title":258,"url":259,"summary":260,"summary_zh":261,"content":9,"source_name":224,"source_url":259,"published_at":187,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":262,"score_detail":263,"sources":267,"tags":269,"search_phrases":271,"slug":274,"view_count":34,"doi":275,"paper":276,"created_at":295},3143,"Underutilised indigenous crop adoption and household food security: evidence from a cross-sectional study of smallholder farmers in South Africa","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1939658","Introduction Underutilised indigenous crops (UICs) are increasingly recognised in South Africa as a potential component of resilient and nutrition-sensitive agricultural systems. However, policy recognition has not been matched by sufficient household-level evidence on the extent and distribution of UIC adoption, the factors associated with adoption, or the relationship between UIC adoption and household food access insecurity among smallholder farming households in South Africa. Methods A quantitative, cross-sectional observational design was used among 205 smallholder farming households in KwaZulu-Natal and the Eastern Cape. Household food-access insecurity was measured using the Household Food Insecurity Access Scale (HFIAS). Logistic regression, ordinary least squares regression, propensity-score matching, chi-square tests, and descriptive analysis were used to examine adoption patterns, associated factors, and food-access security outcomes. Results UIC adoption was reported by 70.2% of respondents, with pumpkin, cowpeas, and amaranth among the most widely cultivated crops. Adopting households had lower mean HFIAS scores than non-adopting households and were less likely to be classified as severely food insecure. In the OLS model, adoption was negatively associated with HFIAS scores ( β = −2.10, p = 0.007). Propensity-score matching also estimated a lower HFIAS score among adopters than among matched non-adopters (ATT = −2.15, p = 0.006). Water sufficiency, group membership, extension contact, education, and household size were associated with food-access security. Discussion The findings indicate that UIC adoption is associated with better household food-access security, but the cross-sectional observational design does not establish a causal effect. Promoting UICs may contribute to nutrition-sensitive agricultural development when accompanied by enabling conditions such as reliable water access, extension support, social capital, and productive resources.","引言 在南非，未被充分利用的本土作物（underutilised indigenous crops, UICs）日益被视为具有韧性和营养敏感性的农业系统的潜在组成部分。然而，政策层面的认可与充分的家庭层面证据之间仍存在差距，这些证据涉及UIC采用的程度与分布、与采用相关的因素，以及UIC采用与南非小农家庭食物获取不安全状况之间的关系。方法 本研究采用定量、横断面观察性设计，在夸祖鲁-纳塔尔省和东开普省的205个小农家庭中开展调查。家庭食物获取不安全状况采用家庭食物不安全获取量表（Household Food Insecurity Access Scale, HFIAS）进行测量。研究运用逻辑回归、普通最小二乘回归、倾向得分匹配、卡方检验和描述性分析，考察采用模式、相关因素及食物获取安全结果。结果 70.2%的受访者报告采用了UIC，其中南瓜、豇豆和苋菜是种植最广泛的作物。采用UIC的家庭HFIAS平均得分低于未采用家庭，且被归类为严重食物不安全的可能性更低。在OLS模型中，采用UIC与HFIAS得分呈负相关（β = −2.10，p = 0.007）。倾向得分匹配也估计出采用者的HFIAS得分低于匹配后的非采用者（ATT = −2.15，p = 0.006）。水资源充足性、群体成员身份、推广接触、教育程度和家庭规模与食物获取安全相关。讨论 研究结果表明，UIC采用与更好的家庭食物获取安全相关，但横断面观察性设计无法确立因果效应。在具备可靠水资源获取、推广支持、社会资本和生产性资源等有利条件的情况下，推广UIC可能有助于营养敏感型农业发展。",71,{"impact":20,"substance":264,"depth":265,"authority":227,"freshness":17,"relevant":21,"comment":266},21,17,"以南非205户小农为样本的实证研究，方法规范、数据具体，但属区域案例，对国内三农信息化参考价值有限。",[268],{"name":224,"url":259},[77,27,29,232,270],"本土作物",[272,273],"南非 小农户 本土作物","KwaZulu-Natal 粮食安全","南非小农户本土作物-3143","10.3389\u002Ffsufs.2026.1939658",{"doi":275,"openalex_id":277,"authors":278,"venue":224,"cited_by_count":34,"oa_url":259,"card":290,"direction":53,"ingested_from":56},"W7213867432",[279,281,284,287],{"name":280,"orcid":9},"Glen Themba Mendi",{"name":282,"orcid":283},"Jan Willem Swanepoel","https:\u002F\u002Forcid.org\u002F0000-0002-0812-2657",{"name":285,"orcid":286},"Siphe Zantsi","https:\u002F\u002Forcid.org\u002F0000-0001-9787-3913",{"name":288,"orcid":289},"Oluwasogo David Olorunfemi","https:\u002F\u002Forcid.org\u002F0000-0002-3524-4262",{"tldr":291,"method":292,"finding":293,"direction":53,"opportunity":294},"研究南非小农户采用未充分利用本土作物与家庭食物安全的关系。","对205户小农户横截面调查，用HFIAS、逻辑回归和倾向得分匹配分析。","70.2%农户采用本土作物，采用者食物不安全评分显著更低。","可结合数字推广与遥感监测，评估本土作物采用对食物安全的长期因果效应。","2026-09-22T23:30:07.989696Z"]