[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5146":3,"related-5146":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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":102,"slug":105,"view_count":106,"doi":107,"paper":108,"created_at":121},5146,"The Impact of Adopting Sustainable Farming Practices on Increasing Crop Yields in Rwanda. Ngororero District Case (2020-2025)","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23421082","OBJECTIVE:To investigate the impact of adopting sustainable farming practices on increasing crop yields in Rwanda. Ngororero District Case (2020–2025).METHODOLOGY: This descriptive study was carried out in Ngororero District. Both qualitative and quantitative methods were used in the investigation. 329 smallholder farming \u002FMembers of cooperatives were sampled by only 290 respondents’ responses were taken for anlaysis.Primary data were collected through structured questionnaires and interview. Quantitative data was analyzed using descriptive statistics with the aid of SPSS software, while qualitative data was subjected to thematic content analysis.RESULTS: The findings demonstrated that 100% farmers agreed that they adopted tarrace farming practices, 94.9% adopted agroforestry practices and 92.3% adopted climate-Smart Agriculture practices to enhance crop yields in Ngororero district. Furtemore, the findings revealed the levels of farmers' adoption of of sustainable farming practices was high by 62.4% of the farmers’ responses and level of crop yields is indicated by the Crop yield per area (measured in tons per hectare), increased harvest weight, value of crop production per household, Benefit-Cost Ratio of production and High-Yield Seed Varieties as well as Input efficiency specifically Water Use Efficiency and Fertilizer Use Efficiency. Moreover, the study found out that 83.7% of variation in crop yield enhancement in Ngororero District is explained by sustainable farming practices adoption.CONCLUSIONS AND RECOMMENDATIONS: Conclusively, The development of mixed farming (crops and livestock) has improved nutrient cycling, with farmers employing manure to improve soil quality and yields. The study findings recommend that policy makers and stakeholders prioritise support for SFP adoption through comprehensive agricultural policies, capacity-building initiatives, and investment in agricultural research and development to contribute to achieving the sustainable development goals, particularly goal related to zero hunger and goal 12 related to the responsible consumption and production.","目的：探讨采用可持续农业实践对提高卢旺达作物产量的影响。以恩戈罗雷罗县为例（2020—2025年）。方法：本描述性研究在恩戈罗雷罗县开展。研究采用定性与定量相结合的方法。共抽取329名小农户\u002F合作社成员为样本，仅对290名受访者的答复纳入分析。原始数据通过结构化问卷和访谈收集。定量数据借助SPSS软件采用描述性统计进行分析，定性数据则进行主题内容分析。结果：研究结果表明，100%的农民认同其采用了梯田耕作实践，94.9%采用了农林业实践，92.3%采用了气候智能型农业实践，以提高恩戈罗雷罗县的作物产量。此外，研究结果显示，农民对可持续农业实践的采用水平较高，62.4%的农民答复表明了这一点；作物产量水平则通过单位面积作物产量（以吨\u002F公顷计量）、收获重量增加、每户作物产值、生产效益成本比、高产种子品种以及投入效率（特别是水分利用效率和肥料利用效率）等指标体现。此外，研究发现，恩戈罗雷罗县作物产量提升的83.7%变异可由可持续农业实践的采用来解释。结论与建议：综上，混合农业（作物与畜牧）的发展改善了养分循环，农民利用粪肥改善土壤质量和产量。研究结果建议，政策制定者和利益相关方应通过综合性农业政策、能力建设举措以及对农业研发的投资，优先支持可持续农业实践（SFP）的采用，以助力实现可持续发展目标，特别是与零饥饿相关的目标以及与水负责任消费和生产相关的目标12。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-10-16T00:00:00Z","论文",10,false,65,{"impact":17,"substance":18,"depth":19,"authority":17,"freshness":20,"relevant":21,"comment":22},12,18,14,9,1,"基于卢旺达县域调查的实证论文，数据具体但影响限于区域，可作为可持续农业国际案例参考。",[24],{"name":10,"url":6},[26,27,28,29,30],"小农户","可持续农业","作物产量","气候智慧农业","卢旺达",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,51,59,66,73,79,86,92,97],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":50},7,true,[],[26,49],"smallholder",[26],{"code":52,"score":53,"supported":46,"title":54,"abstract":55,"tags":58},"C",6,[],[56,57],"畜牧","livestock",[],{"code":60,"score":53,"supported":46,"title":61,"abstract":62,"tags":65},"F3",[],[63,64],"肥料","fertilizer",[],{"code":67,"score":53,"supported":46,"title":68,"abstract":69,"tags":72},"H2",[],[70,71],"土壤","soil",[],{"code":74,"score":75,"supported":46,"title":76,"abstract":77,"tags":78},"H8",4,[],[27],[27],{"code":80,"score":81,"supported":46,"title":82,"abstract":83,"tags":85},"I1",3,[],[84],"smart agriculture",[],{"code":87,"score":81,"supported":46,"title":88,"abstract":89,"tags":91},"J1",[],[90],"农业政策",[],{"code":93,"score":21,"supported":14,"title":94,"abstract":95,"tags":96},"H7",[],[],[29],{"code":98,"score":21,"supported":14,"title":99,"abstract":100,"tags":101},"I3",[],[],[28],[103,104],"卢旺达 Ngororero 可持续农业","小农户 气候智慧农业 产量","卢旺达Ngororero可持续农业-5146",0,"10.5281\u002Fzenodo.23421082",{"doi":107,"openalex_id":109,"authors":110,"venue":10,"cited_by_count":106,"oa_url":6,"card":113,"direction":119,"ingested_from":120},"W7222451055",[111],{"name":112,"orcid":9},"Dr. Richard MIND'JE UWAMUTARAMBIRWA Clémence",{"tldr":114,"method":115,"finding":116,"direction":117,"opportunity":118},"研究卢旺达Ngororero地区采用可持续耕作方式对作物增产的影响。","对290户小农合作社成员问卷调查，用SPSS描述统计与主题内容分析。","可持续耕作采用率高，可解释83.7%的产量提升变异。","农业绿色发展与碳","可结合遥感与地块数据量化可持续耕作对产量的因果效应，并拓展到碳汇与养分循环评估。","智慧农业 \u002F 农业物联网","openalex","2026-10-17T23:30:08.423023Z",{"total":53,"page":21,"page_size":53,"items":123},[124,223,326,395,463,540],{"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":132,"score_detail":133,"sources":137,"tags":139,"primary_topic":143,"secondary_topics":149,"classification":156,"search_phrases":200,"slug":203,"view_count":106,"doi":204,"paper":205,"created_at":222},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":134,"substance":18,"depth":135,"authority":53,"freshness":134,"relevant":21,"comment":136},8,15,"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。",[138],{"name":130,"url":127},[140,26,29,141,142],"粮食安全","农业推广","津巴布韦",{"code":144,"slug":145,"name":146,"path":147,"parent_code":148},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[150,151],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"code":93,"slug":152,"name":153,"path":154,"parent_code":155},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":39,"locked":14,"version":40,"method":41,"evidence":157},{"candidates":158,"agricultural_evidence":46},[159,164,168,176,182,189,196],{"code":144,"score":135,"supported":46,"title":160,"abstract":162,"tags":163},[161],"food security",[140,161],[140],{"code":32,"score":135,"supported":46,"title":165,"abstract":166,"tags":167},[49],[26,49],[26],{"code":93,"score":13,"supported":46,"title":169,"abstract":170,"tags":175},[],[171,172,173,174],"气候变化","干旱","climate change","drought",[29],{"code":177,"score":45,"supported":46,"title":178,"abstract":179,"tags":181},"G1",[],[141,180],"agricultural extension",[141],{"code":183,"score":53,"supported":46,"title":184,"abstract":185,"tags":188},"A3",[],[186,187],"玉米","maize",[],{"code":190,"score":53,"supported":46,"title":191,"abstract":192,"tags":195},"G3",[],[193,194],"农村金融","rural finance",[],{"code":80,"score":81,"supported":46,"title":197,"abstract":198,"tags":199},[],[84],[],[201,202],"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":204,"openalex_id":206,"authors":207,"venue":130,"cited_by_count":106,"oa_url":9,"card":216,"direction":119,"ingested_from":120},"W7223029383",[208,211,214],{"name":209,"orcid":210},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":212,"orcid":213},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":215,"orcid":9},"Patience Mutopo",{"tldr":217,"method":218,"finding":219,"direction":220,"opportunity":221},"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。","数字乡村与农业信息化","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":224,"title":225,"url":226,"summary":227,"summary_zh":228,"content":9,"source_name":229,"source_url":226,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":230,"score_detail":231,"sources":236,"tags":238,"primary_topic":241,"secondary_topics":242,"classification":245,"search_phrases":308,"slug":311,"view_count":106,"doi":312,"paper":313,"created_at":325},5185,"When the rains are too much: El Niño, Smallholder Farmers and Food Security in Western Kenya","https:\u002F\u002Fdoi.org\u002F10.18697\u002Fajfand.155.ed182","When the rains are too much: El Niño, Smallholder Farmers and Food Security in Western Kenya For generations, farmers in Western Kenya have watched the skies carefully. The arrival, duration, and distribution of rainfall have traditionally provided important signals about when to prepare land, plant, weed, and harvest. But these signals are becoming increasingly difficult to read. Climate change is altering rainfall patterns, while increasingly frequent extreme weather events are making farming more uncertain. The current outlook for the October–December 2026 season brings this challenge sharply into focus. The IGAD Climate Prediction and Applications Centre (ICPAC) forecasts a wetter-than-normal season across much of the Greater Horn of Africa. The Lake Victoria Basin, which includes large parts of Western Kenya, is among the areas with a high likelihood of receiving more than 400 mm of seasonal rainfall. ICPAC reports that El Niño has developed and is expected to strengthen, while a positive Indian Ocean Dipole is also expected—climate conditions that are commonly associated with enhanced rainfall in the region, and is likely to run into February of 2027. But what does this mean for the smallholder farmer? The first point is that more rainfall does not necessarily mean more food. For a farmer whose livelihood depends almost entirely on rain-fed agriculture, abundant rainfall can be a blessing. It can replenish streams and water sources, improve soil moisture, restore pasture and create favourable conditions for crop production. If well distributed, the rains could contribute to improved harvests and household food supplies. The problem arises when rainfall is too intense, too concentrated or poorly distributed. A farmer may receive a great deal of rain in a few days and then experience a dry spell. Another farmer a few kilometres away may receive considerably less. Heavy downpours can cause flooding, waterlogging and soil erosion. Seeds may be washed away soon after planting. Young crops can be submerged or damaged. Valuable topsoil and nutrients can be carried away, reducing the productivity of land in subsequent seasons. This is particularly important in Western Kenya, where many households depend on small parcels of land for both food and income. A failed or damaged crop is not simply an agricultural loss. It can mean less food in the household, less money for school fees and health care, and fewer resources to purchase nutritious foods. The food-security paradox We must, therefore, look beyond agricultural production to food and nutrition security. A household may produce enough maize yet still have a poor diet if vegetables, legumes, fruits, milk, eggs or other foods are unavailable or unaffordable. Climate shocks can reduce this diversity. When crops are damaged, families may depend more heavily on whatever staple food remains available. This is why climate resilience must also be nutrition-sensitive. Western Kenya has a rich agricultural tradition and considerable potential for diversified food production. Farmers grow cereals, legumes, vegetables and root crops and keep livestock and poultry. Such diversity is not merely an agricultural advantage; it is a nutritional resource. It can provide different foods, spread risk and generate income at different times of the year. Climate adaptation should, therefore, not encourage farmers simply to produce more of one crop. It should help them build diverse and resilient farming systems. Women carry a large part of the burden The impact of erratic and excessive rainfall also has a gender dimension. Women in smallholder households are often deeply involved in food production, processing, preparation and household nutrition. When harvests fail, or food prices rise, women frequently have to find ways of stretching limited household resources to feed the family. When roads become impassable or markets are disrupted, women may have greater difficulty accessing food and agricultural inputs. When water sources are contaminated or damaged, household responsibilities can become even more demanding. Climate adaptation must therefore deliberately include women—not simply as beneficiaries, but as decision-makers, innovators, farmers and leaders. Young people must also be part of the solution There is another group that deserves greater attention: young people. Western Kenya cannot build climate-resilient agriculture while treating agriculture as an occupation of the past. Young people need to see opportunities in modern farming, agro-processing, food safety, climate information services, irrigation, digital agriculture and agricultural entrepreneurship. The increasing unpredictability of climate may actually provide an opportunity to make agriculture more innovative. Young people can help introduce new technologies, improve access to climate information, develop value-added products and create businesses around food production and processing. From forecasting to action The availability of a climate forecast is useful only if it reaches the people who need it in time. Farmers need information that answers practical questions: When should I plant? Which crops or varieties are appropriate? How can I protect my soil? What should I do if rainfall becomes excessive? How can I protect harvested food? Where can I obtain reliable seed and other inputs? Seasonal forecasts should, therefore, be translated into local, practical agricultural advice. ICPAC itself emphasizes that seasonal forecasts should be used together with weekly and monthly forecasts and national meteorological information. This requires stronger links between meteorological services, agricultural extension officers, researchers, county governments, farmer organizations and communities. We should also strengthen simple but important measures: water harvesting, drainage, terracing and soil conservation; planting crops and varieties suited to local conditions; maintaining vegetation cover; diversifying crops and livestock; improving storage facilities; and protecting food from moisture and contamination. Prepare before the rain comes The greatest lesson from the current El Niño outlook is perhaps that preparedness must begin before the first heavy rains arrive. Governments and development partners should not wait for floods, damaged roads, destroyed crops or food shortages before responding. Early warning should lead to early action. Farmers should be supported to prepare their farms, protect livestock, secure seed and inputs, strengthen food storage and identify alternative routes to markets. This is particularly important because the same season can produce both opportunities and losses. ICPAC notes that enhanced rainfall can support agricultural production and replenish water resources, but can simultaneously increase the risk of flooding, flash floods and landslides in vulnerable areas. A changing climate requires a different agricultural mindset Perhaps the most important change we need is in the way we think about farming. For too long, agricultural planning has often assumed that rainfall will behave according to a familiar calendar. That assumption is becoming increasingly unsafe. Farmers now have to manage not only too little rain, but also too much rain, rain at the wrong time and rain in the wrong place. The challenge is, therefore, not simply to produce more food. It is to build food systems that can continue providing adequate, diverse, safe and nutritious food under increasingly uncertain climatic conditions. Western Kenya's smallholder farmers should not be left alone to carry this burden. They need science that responds to their realities, extension services that reach them, climate information they can understand and use, financial services that help them manage risk, markets that function during difficult seasons, and policies that recognize the central role of smallholder agriculture in national food and nutrition security, and partners who are willing to appreciate and make use of indigenous knowledge. El Niño should, therefore, be viewed neither simply as a disaster nor automatically as a blessing. It is a climate event whose consequences will depend greatly on our preparedness. The question before us is not merely, “Will the rains come?” They probably will. The more important question is: Will our farmers, food systems and institutions be ready when they do? That is where climate resilience—and ultimately food and nutrition security—will be tested. Prof. Ruth Khasaya Oniang'o Founder and Editor-in-Chief, AJFAND ORCiD: https:\u002F\u002Forcid.org\u002F0009-0005-8344-9093","当雨水过多时：厄尔尼诺现象、小农户与肯尼亚西部的粮食安全\n\n世代以来，肯尼亚西部的农民一直密切关注着天空。降雨的到来、持续时间和分布，传统上为何时整地、播种、除草和收获提供了重要信号。但这些信号正变得越来越难以解读。气候变化正在改变降雨模式，而日益频繁的极端天气事件使农业变得更加不确定。当前对2026年10月至12月季节的展望使这一挑战凸显出来。政府间发展组织气候预测与应用中心（ICPAC）预测，大非洲之角大部分地区将迎来高于正常水平的湿润季节。维多利亚湖流域——包括肯尼亚西部的大部分地区——属于极有可能获得超过400毫米季节性降雨的区域之一。ICPAC报告称，厄尔尼诺现象已经形成并预计将增强，同时预计还将出现正印度洋偶极子——这些气候条件通常与该地区降雨增强相关，并可能持续到2027年2月。但这对小农户意味着什么？首先，更多降雨并不必然意味着更多粮食。对于生计几乎完全依赖雨养农业的农民来说，充沛的降雨可能是福。它可以补充溪流和水源、改善土壤湿度、恢复牧场，并为作物生产创造有利条件。如果分布良好，降雨可能有助于改善收成和家庭粮食供应。问题出现在降雨过于猛烈、过于集中或分布不均的时候。一个农民可能在几天内获得大量降雨，随后又经历一段干旱期。几公里外的另一个农民可能获得的降雨少得多。暴雨可能引发洪水、渍涝和土壤侵蚀。种子可能在播种后不久被冲走。幼苗可能被淹没或受损。宝贵的表土和养分可能被带走，降低土地在后续季节的生产力。这在肯尼亚西部尤为重要，因为许多家庭依赖小块土地获取食物和收入。作物歉收或受损不仅仅是农业损失。它可能意味着家庭食物减少、用于学费和医疗的钱减少，以及购买营养食品的资源减少。粮食安全……","African Journal of Food Agriculture Nutrition and Development",75,{"impact":18,"substance":232,"depth":233,"authority":234,"freshness":134,"relevant":21,"comment":235},20,16,13,"核心期刊评论文章，结合El Niño预测讨论小农户气候适应与粮食营养安全，有实质分析与行动建议，但属区域案例、非信息化技术突破。",[237],{"name":229,"url":226},[239,140,26,29,240],"肯尼亚","气候预警",{"code":144,"slug":145,"name":146,"path":147,"parent_code":148},[243,244],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"code":93,"slug":152,"name":153,"path":154,"parent_code":155},{"status":39,"locked":14,"version":40,"method":41,"evidence":246},{"candidates":247,"agricultural_evidence":46},[248,252,256,262,266,270,276,280,286,292,298,302],{"code":144,"score":135,"supported":46,"title":249,"abstract":250,"tags":251},[161],[140,161],[140],{"code":32,"score":135,"supported":46,"title":253,"abstract":254,"tags":255},[49],[26,49],[26],{"code":93,"score":13,"supported":46,"title":257,"abstract":258,"tags":261},[],[171,172,173,259,260],"climate resilience","waterlogging",[29],{"code":67,"score":53,"supported":46,"title":263,"abstract":264,"tags":265},[],[70,71],[],{"code":183,"score":81,"supported":46,"title":267,"abstract":268,"tags":269},[],[187],[],{"code":271,"score":81,"supported":46,"title":272,"abstract":273,"tags":275},"B4",[],[274],"月季",[],{"code":52,"score":81,"supported":46,"title":277,"abstract":278,"tags":279},[],[57],[],{"code":281,"score":81,"supported":46,"title":282,"abstract":283,"tags":285},"C3",[],[284],"poultry",[],{"code":287,"score":81,"supported":46,"title":288,"abstract":289,"tags":291},"E4",[],[290],"food safety",[],{"code":293,"score":81,"supported":46,"title":294,"abstract":295,"tags":297},"F4",[],[296],"除草",[],{"code":177,"score":81,"supported":46,"title":299,"abstract":300,"tags":301},[],[180],[],{"code":303,"score":81,"supported":46,"title":304,"abstract":305,"tags":307},"H3",[],[306],"irrigation",[],[309,310],"El Niño 小农户 粮食安全","ICPAC 季节预报 肯尼亚","ElNiño小农户粮食安全-5185","10.18697\u002Fajfand.155.ed182",{"doi":312,"openalex_id":314,"authors":315,"venue":229,"cited_by_count":106,"oa_url":319,"card":320,"direction":220,"ingested_from":120},"W7222630373",[316],{"name":317,"orcid":318},"Ruth Khasaya Oniang'o","https:\u002F\u002Forcid.org\u002F0009-0005-8344-9093","https:\u002F\u002Fajfand.net\u002FVolume26\u002FNo8\u002FEditorialVol26No8.pdf",{"tldr":321,"method":322,"finding":323,"direction":117,"opportunity":324},"分析厄尔尼诺导致肯尼亚西部降雨过量对小农粮食安全的影响","基于ICPAC季节气候预测与厄尔尼诺、印度洋偶极子分析","降雨过多且分布不均会引发洪涝、土壤侵蚀，反而威胁小农粮食安全","可结合遥感与农户调查，量化极端降雨时空分布对小农产量与粮食安全的非线性影响","2026-10-17T23:30:36.130973Z",{"id":327,"title":328,"url":329,"summary":330,"summary_zh":331,"content":9,"source_name":332,"source_url":329,"published_at":333,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":334,"score_detail":335,"sources":338,"tags":340,"primary_topic":344,"secondary_topics":345,"classification":346,"search_phrases":363,"slug":366,"view_count":106,"doi":367,"paper":368,"created_at":394},4482,"Development and validation of a multidimensional behavioural change index and its application to farmer producer organisations in India: implications for sustainable smallholder food systems","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1915367","Realising the Sustainable Development Goals in ending poverty (SDG 1), achieving zero hunger through sustainable agriculture (SDG 2), and reducing inequalities (SDG 10) hinges on the adaptive capacity of smallholder farmers, and Farmer Producer Organisations (FPOs) are widely promoted to strengthen it, yet their evaluation has concentrated on short-term economic gains, neglecting the behavioural transformation that sustains improvement and underpins resilient food systems, and limited validated multidimensional instruments are available to measure such behavioural differences across farmers. This study developed a Behavioural Change Index (BCI) and applied it to examine the association between FPO membership and farmer behvioural status in Odisha, India. An initial pool of 142 items was refined to 89 items across twelve theoretically grounded, expert-weighted dimensions through relevancy analysis by an 80-member expert panel, reliability testing, exploratory factor analysis, confirmatory factor analysis, composite reliability, average variance extracted, measurement invariance, discriminant validity and common-method-bias assessment, after which the index was applied to 300 FPO members and 100 non-members, with selection bias addressed through propensity-score matching, inverse-probability weighting, kernel and full matching, doubly-robust estimation and E-value sensitivity analysis. The BCI demonstrated excellent reliability (Cronbach’s α = 0.95), a clean twelve-factor structure explaining 68.3% of variance, and satisfactory discriminant validity; members scored significantly higher across all twelve dimensions(Cohen’s d = 1.29–2.21) and the raw advantage of 22.12 points remained robust after matching (19.34 points; doubly-robust ATT = 19.71; E -value = 6.69), indicating minimal sensitivity to unmeasured confounding. The cross-sectional study thus delivers both a psychometrically supported instrument and robust observational evidence of differences in behavioural status between FPO members and non-members after adjustment for observed covariates. By rendering behavioural status measurable, the BCI enables agencies to monitor progress beyond income and target support effectively, advancing the transition toward sustainable, equitable and resilient smallholder food systems.","实现消除贫困（可持续发展目标1）、通过可持续农业实现零饥饿（可持续发展目标2）以及减少不平等（可持续发展目标10），关键在于小农户的适应能力，而农民生产者组织（Farmer Producer Organisations, FPOs）被广泛推广以增强这一能力，然而对其评估一直集中于短期经济收益，忽视了支撑持续改善和韧性食物系统的行为转变，且可用于测量农户间此类行为差异的经过验证的多维工具十分有限。本研究开发了行为变化指数（Behavioural Change Index, BCI），并将其应用于印度奥里萨邦，以考察FPO成员身份与农户行为状况之间的关联。初始的142个题项经由80人专家组的关联性分析、信度检验、探索性因子分析、验证性因子分析、组合信度、平均方差抽取量、测量不变性、区分效度及共同方法偏差评估，在十二个有理论依据且经专家赋权的维度上精炼为89个题项，随后将该指数应用于300名FPO成员和100名非成员，并通过倾向得分匹配、逆概率加权、核匹配和全匹配、双重稳健估计及E值敏感性分析来处理选择偏差。BCI表现出极好的信度（Cronbach's α = 0.95）、清晰的十二因子结构（解释68.3%的方差）以及令人满意的区分效度；成员在所有十二个维度上的得分均显著更高（Cohen's d = 1.29–2.21），22.12分的原始优势在匹配后依然稳健（19.34分；双重稳健ATT = 19.71；E值 = 6.69），表明对未测量混杂因素的敏感性极低。因此，这项横断面研究既提供了一种心理测量学支持的测量工具，也提供了在调整可观测协变量后FPO成员与非成员之间行为状况差异的稳健观察证据。通过使行为状况可测量，BCI使各机构能够监测收入之外的进展并有效定向支持，从而推进小农户食物系统向可持续、公平和有韧性的方向转型。","Frontiers in Sustainable Food Systems","2026-10-08T00:00:00Z",74,{"impact":17,"substance":336,"depth":18,"authority":234,"freshness":20,"relevant":21,"comment":337},22,"该研究开发了行为改变指数并验证其对印度小农组织成员行为差异的测量，方法严谨、数据扎实，对可持续小农食物系统评估有参考价值，但地域限于印度、影响层级偏学术细分领域。",[339],{"name":332,"url":329},[26,27,341,342,343],"印度农业","农民合作社","行为改变指数",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":347},{"candidates":348,"agricultural_evidence":46},[349,353,358],{"code":32,"score":233,"supported":46,"title":350,"abstract":351,"tags":352},[49],[26,49],[342,26],{"code":74,"score":45,"supported":46,"title":354,"abstract":355,"tags":357},[],[27,356],"sustainable agriculture",[27],{"code":359,"score":21,"supported":14,"title":360,"abstract":361,"tags":362},"J3",[],[],[341],[364,365],"行为改变指数 农民合作社 可持续农业 印度农业","行为改变指数 农民合作社","行为改变指数农民合作社可持续农业印度农业-4482","10.3389\u002Ffsufs.2026.1915367",{"doi":367,"openalex_id":369,"authors":370,"venue":332,"cited_by_count":106,"oa_url":329,"card":389,"direction":220,"ingested_from":120},"W7221022600",[371,373,375,378,381,383,385,387],{"name":372,"orcid":9},"Badigi Pavan Naik",{"name":374,"orcid":9},"Mahamaya Prasad Nayak",{"name":376,"orcid":377},"Bishnupriya Mishra","https:\u002F\u002Forcid.org\u002F0009-0007-6590-8967",{"name":379,"orcid":380},"Abhiram Dash","https:\u002F\u002Forcid.org\u002F0000-0002-6683-6594",{"name":382,"orcid":9},"Khitish Kumar Sarangi",{"name":384,"orcid":9},"Madhumita Jena",{"name":386,"orcid":9},"Indira Priyadarsini Pattnaik",{"name":388,"orcid":9},"Srabani Ghosal",{"tldr":390,"method":391,"finding":392,"direction":220,"opportunity":393},"构建并验证多维行为改变指数，评估印度农民生产者组织成员的行为差异。","专家赋权、因子分析、倾向得分匹配等，调查300名成员与100名非成员。","指数信效度良好，成员在12个维度均显著更高，匹配后优势仍稳健。","可将该行为指数嵌入数字平台，用于小农户行为监测与精准干预评估。","2026-10-09T23:30:06.254620Z",{"id":396,"title":397,"url":398,"summary":399,"summary_zh":400,"content":9,"source_name":401,"source_url":398,"published_at":402,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":403,"sources":405,"tags":407,"primary_topic":408,"secondary_topics":412,"classification":414,"search_phrases":439,"slug":442,"view_count":81,"doi":443,"paper":444,"created_at":462},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。","Asian Journal of Agricultural Extension Economics & Sociology","2026-09-22T00:00:00Z",{"impact":134,"substance":232,"depth":135,"authority":17,"freshness":13,"relevant":21,"comment":404},"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。",[406],{"name":401,"url":398},[239,26,29,141],{"code":177,"slug":409,"name":410,"path":411,"parent_code":36},"extension-transfer","农技推广与成果转化","\u002Ftopic\u002Frural-services\u002Fextension-transfer",[413],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":415},{"candidates":416,"agricultural_evidence":46},[417,422,426,430,435],{"code":177,"score":18,"supported":46,"title":418,"abstract":419,"tags":421},[180],[141,420,180],"技术培训",[141],{"code":32,"score":135,"supported":46,"title":423,"abstract":424,"tags":425},[49],[26,49],[26],{"code":80,"score":134,"supported":46,"title":427,"abstract":428,"tags":429},[84],[],[],{"code":74,"score":81,"supported":46,"title":431,"abstract":432,"tags":434},[],[433],"conservation agriculture",[],{"code":93,"score":21,"supported":14,"title":436,"abstract":437,"tags":438},[],[],[29],[440,441],"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","10.9734\u002Fajaees\u002F2026\u002Fv44i103022",{"doi":443,"openalex_id":445,"authors":446,"venue":401,"cited_by_count":106,"oa_url":398,"card":457,"direction":119,"ingested_from":120},"W7213979623",[447,449,451,453,455],{"name":448,"orcid":9},"Simon Mbala",{"name":450,"orcid":9},"David Kawioo Mwanzia",{"name":452,"orcid":9},"Thomas Ekamais Akuja",{"name":454,"orcid":9},"Felix Ngunzo Kioli",{"name":456,"orcid":9},"Harrison Musyoka Maithya",{"tldr":458,"method":459,"finding":460,"direction":220,"opportunity":461},"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。","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。","2026-09-22T23:30:10.323072Z",{"id":464,"title":465,"url":466,"summary":467,"summary_zh":468,"content":9,"source_name":332,"source_url":466,"published_at":469,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":470,"score_detail":471,"sources":473,"tags":475,"primary_topic":479,"secondary_topics":480,"classification":482,"search_phrases":518,"slug":521,"view_count":81,"doi":522,"paper":523,"created_at":539},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）。","2026-09-21T00:00:00Z",63,{"impact":134,"substance":18,"depth":135,"authority":234,"freshness":20,"relevant":21,"comment":472},"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。",[474],{"name":332,"url":466},[26,29,476,477,478],"技术采纳","南非农业","推广服务",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[481],{"code":93,"slug":152,"name":153,"path":154,"parent_code":155},{"status":39,"locked":14,"version":40,"method":41,"evidence":483},{"candidates":484,"agricultural_evidence":46},[485,489,494,498,502,506,510,514],{"code":32,"score":17,"supported":46,"title":486,"abstract":487,"tags":488},[49],[26],[26],{"code":80,"score":490,"supported":46,"title":491,"abstract":492,"tags":493},11,[84],[84],[],{"code":93,"score":13,"supported":46,"title":495,"abstract":496,"tags":497},[],[171,173,174],[29],{"code":144,"score":53,"supported":46,"title":499,"abstract":500,"tags":501},[],[140,161],[],{"code":67,"score":53,"supported":46,"title":503,"abstract":504,"tags":505},[],[70,71],[],{"code":52,"score":81,"supported":46,"title":507,"abstract":508,"tags":509},[],[57],[],{"code":74,"score":81,"supported":46,"title":511,"abstract":512,"tags":513},[],[433],[],{"code":177,"score":21,"supported":14,"title":515,"abstract":516,"tags":517},[],[],[476],[519,520],"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":522,"openalex_id":524,"authors":525,"venue":332,"cited_by_count":106,"oa_url":466,"card":534,"direction":119,"ingested_from":120},"W7213921129",[526,528,531],{"name":527,"orcid":9},"Sibonise Lufume",{"name":529,"orcid":530},"L. Gwala","https:\u002F\u002Forcid.org\u002F0000-0002-0186-050X",{"name":532,"orcid":533},"Leocadia Zhou","https:\u002F\u002Forcid.org\u002F0000-0002-0344-4710",{"tldr":535,"method":536,"finding":537,"direction":220,"opportunity":538},"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":541,"title":542,"url":543,"summary":544,"summary_zh":545,"content":9,"source_name":10,"source_url":543,"published_at":546,"category":12,"cover_url":9,"hotness":547,"is_selected":14,"score":15,"score_detail":548,"sources":550,"tags":554,"primary_topic":557,"secondary_topics":558,"classification":559,"search_phrases":586,"slug":589,"view_count":21,"doi":590,"paper":591,"created_at":611},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。","2026-09-18T00:00:00Z",25,{"impact":134,"substance":232,"depth":233,"authority":17,"freshness":20,"relevant":21,"comment":549},"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。",[551,552],{"name":10,"url":543},{"name":10,"url":553},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832941",[26,29,141,555,556],"尼日利亚","农业信息",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":560},{"candidates":561,"agricultural_evidence":46},[562,566,571,578,582],{"code":32,"score":135,"supported":46,"title":563,"abstract":564,"tags":565},[49],[26,49],[26],{"code":93,"score":45,"supported":46,"title":567,"abstract":568,"tags":570},[],[569,174],"气候适应",[29],{"code":572,"score":53,"supported":46,"title":573,"abstract":574,"tags":577},"A7",[],[575,576],"轮作","crop rotation",[],{"code":80,"score":81,"supported":46,"title":579,"abstract":580,"tags":581},[],[84],[],{"code":177,"score":21,"supported":14,"title":583,"abstract":584,"tags":585},[],[],[141],[587,588],"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":590,"openalex_id":592,"authors":593,"venue":10,"cited_by_count":106,"oa_url":543,"card":606,"direction":119,"ingested_from":120},"W7213578578",[594,596,598,600,602,604],{"name":595,"orcid":9},"Folasade J. Odekunle",{"name":597,"orcid":9},"Adedotun A. Adetunji",{"name":599,"orcid":9},"Idris O. JINADU",{"name":601,"orcid":9},"Adedayo S. Adediran",{"name":603,"orcid":9},"Gabriel O. Adebayo",{"name":605,"orcid":9},"Akeem Adewole",{"tldr":607,"method":608,"finding":609,"direction":220,"opportunity":610},"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"]