[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3464":3,"related-3464":54},{"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":28,"search_phrases":34,"slug":37,"view_count":38,"doi":39,"paper":40,"created_at":53},3464,"LEXICAL-SEMANTIC TRANSFORMATION OF CLIMATE-ADAPTIVE AGRICULTURAL TERMS: A COMPARATIVE STUDY OF ENGLISH AND UZBEK","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22927709","This article examines lexical-semantic transformations that occur when climate-related agricultural terminology is transferred from English into Uzbek. The analysis focuses on such units as climate-smart agriculture, climate-resilient agriculture, climate-informed planning, drought-tolerant crops, water-use efficiency, conservation agriculture, precision irrigation, mitigation, adaptation, and early warning system. The study applies comparative-semantic, componential, contextual and terminological-equivalence methods. Particular attention is paid to calquing, semantic narrowing and broadening, component substitution, descriptive translation and borrowing. The findings show that a number of English terms are represented in Uzbek not by complete conceptual equivalents but by forms in which one semantic component is strengthened while another is weakened. In particular, the Uzbek rendering of climate-smart agriculture as “iqlimga moslashuvchan qishloq xo‘jaligi” is communicatively clear, yet it does not equally foreground all three dimensions of the source concept: productivity, adaptation\u002Fresilience and mitigation. The article argues that the standardization of new agricultural terminology in Uzbek should be based not only on lexical correspondence but also on the conceptual scope of terms in international scientific discourse.","本文考察气候相关农业术语从英语转移到乌兹别克语时发生的词汇—语义转换。分析聚焦于气候智慧型农业（climate-smart agriculture）、气候韧性农业（climate-resilient agriculture）、气候知情规划（climate-informed planning）、耐旱作物（drought-tolerant crops）、水分利用效率（water-use efficiency）、保护性农业（conservation agriculture）、精准灌溉（precision irrigation）、减缓（mitigation）、适应（adaptation）和预警系统（early warning system）等单位。研究采用比较语义法、成分分析法、语境分析法和术语等值法。特别关注仿译、语义缩小与扩大、成分替换、描述性翻译和借用。研究结果表明，若干英语术语在乌兹别克语中并非以完整的概念对应形式呈现，而是以某一语义成分被强化、另一成分被弱化的形式呈现。尤其是，气候智慧型农业在乌兹别克语中译为“iqlimga moslashuvchan qishloq xo‘jaligi”，虽在交际上清晰，却并未同等凸显源概念的全部三个维度：生产力、适应\u002F韧性与减缓。文章认为，乌兹别克语中新农业术语的标准化不仅应基于词汇对应，还应基于术语在国际科学话语中的概念范围。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-09-24T00:00:00Z","论文",25,false,60,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,15,10,9,1,"从语言学角度比较英乌气候适应型农业术语的语义转换，对农业术语标准化与国际农业话语对接有参考价值，但属小众交叉研究，公共影响有限。",[25,26],{"name":10,"url":6},{"name":10,"url":27},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22927710",[29,30,31,32,33],"气候智慧型农业","农业术语","乌兹别克语","术语标准化","农业翻译",[35,36],"气候智慧型农业 乌兹别克语 术语标准化 农业术语","气候智慧型农业 乌兹别克语","气候智慧型农业乌兹别克语术语标准化农业术语-3464",0,"10.5281\u002Fzenodo.22927709",{"doi":39,"openalex_id":41,"authors":42,"venue":10,"cited_by_count":38,"oa_url":6,"card":45,"direction":51,"ingested_from":52},"W7214144700",[43],{"name":44,"orcid":9},"Qodirova Gulbahor Turdiyevna",{"tldr":46,"method":47,"finding":48,"direction":49,"opportunity":50},"比较英语气候适应型农业术语在乌兹别克语中的词汇语义转换，揭示概念不对等现象。","采用对比语义、成分分析、语境与术语对等方法分析10个气候农业术语。","部分术语在乌兹别克语中语义成分强弱不均，如气候智慧型农业未均衡体现三支柱。","数字乡村与农业信息化","可研究多语言农业术语标准化与概念对等，支撑跨国农业知识传播与信息化平台建设。","智慧农业 \u002F 农业物联网","openalex","2026-09-25T23:30:09.248306Z",{"total":55,"page":22,"page_size":55,"items":56},6,[57,91,133,170,216,241],{"id":58,"title":59,"url":60,"summary":61,"summary_zh":62,"content":9,"source_name":10,"source_url":60,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":63,"score_detail":64,"sources":67,"tags":71,"search_phrases":75,"slug":78,"view_count":38,"doi":79,"paper":80,"created_at":90},3498,"DRON VA MASOFADAN MONITORING TEXNOLOGIYALARIGA OID AGRAR TERMINLARNING INGLIZ TILIDAN O'ZBEK TILIGA KIRIB KELISH MEXANIZMLARI","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22942951","Ushbu maqolada dron va masofadan monitoring texnologiyalari bilan bog‘liq zamonaviy agrar terminlarning ingliz tilidan o‘zbek tiliga kirib kelish mexanizmlari leksik-semantik va tarjimashunoslik nuqtayi nazaridan tahlil qilinadi. Tadqiqot materiali sifatida precision agriculture, drone, unmanned aerial vehicle, remote sensing, crop monitoring, multispectral imaging, hyperspectral imaging, thermal imaging, vegetation index, orthomosaic, georeferencing, payload, flight planning, variable-rate application singari xalqaro ilmiy-texnik birliklar va ularning o‘zbekcha qo‘llanish shakllari tanlandi. Tahlil natijasida o‘zlashishning besh asosiy modeli: bevosita fonetik-grafik o‘zlashtirish, kalkalash, tavsifiy-ekvivalent tarjima, qisqartmalarni saqlash hamda gibrid termin hosil qilish faol ekanligi aniqlandi. Agrar raqamlashtirish tezlashgani sari inglizcha terminlarning o‘zbek tiliga kirib kelishi faqat lug‘aviy jarayon emas, balki texnologik transfer, professional kommunikatsiya va terminologik me’yorlash bilan uzviy bog‘liq jarayon sifatida namoyon bo‘lmoqda. Maqolada variantdorlikni kamaytirish, o‘zbek tilining so‘z yasash imkoniyatlaridan oqilona foydalanish va xalqaro qisqartmalar bilan milliy ekvivalentlar o‘rtasida funksional muvozanatni ta’minlash bo‘yicha takliflar ilgari suriladi.","本文从词汇语义学和翻译学的角度，分析了与无人机和遥感监测技术相关的现代涉农术语从英语进入乌兹别克语的机制。研究以precision agriculture（精准农业）、drone（无人机）、unmanned aerial vehicle（无人驾驶飞行器）、remote sensing（遥感）、crop monitoring（作物监测）、multispectral imaging（多光谱成像）、hyperspectral imaging（高光谱成像）、thermal imaging（热成像）、vegetation index（植被指数）、orthomosaic（正射影像图）、georeferencing（地理配准）、payload（有效载荷）、flight planning（飞行规划）、variable-rate application（变量施用）等国际科技统一术语及其乌兹别克语使用形式为材料。分析结果表明，借入的五种主要模式较为活跃：直接语音—字形借入、仿译、描述—等值翻译、保留缩略语以及混合术语构词。随着农业数字化加速，英语术语进入乌兹别克语不仅是一个词汇过程，而且表现为与工艺转移、专业交流和术语规范化密切相关的过程。文中就减少变体现象、合理利用乌兹别克语的构词能力以及在国标缩略语与民族语对应词之间保持功能平衡提出了建议。",62,{"impact":17,"substance":18,"depth":19,"authority":65,"freshness":21,"relevant":22,"comment":66},12,"论文系统分析无人机与遥感农业术语从英语进入乌兹别克语的五种借入机制，属农业信息化语言标准化研究，专业性强但影响面偏窄。",[68,69],{"name":10,"url":60},{"name":10,"url":70},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22942950",[72,73,74,30,31],"智慧农业","无人机","农业遥感",[76,77],"乌兹别克语 农业术语 农业遥感 智慧农业","乌兹别克语 农业术语","乌兹别克语农业术语农业遥感智慧农业-3498","10.5281\u002Fzenodo.22942951",{"doi":79,"openalex_id":81,"authors":82,"venue":10,"cited_by_count":38,"oa_url":60,"card":84,"direction":89,"ingested_from":52},"W7214177750",[83],{"name":44,"orcid":9},{"tldr":85,"method":86,"finding":87,"direction":49,"opportunity":88},"分析无人机与遥感农业术语从英语借入乌兹别克语的五种机制。","选取精准农业等15个术语，做词汇语义与翻译学分析。","借入机制含音译、仿译、描述翻译、缩写保留和混合构词五类。","可构建多语言农业术语库，研究术语标准化对技术扩散的影响。","农业遥感与作物表型","2026-09-25T23:30:30.787630Z",{"id":92,"title":93,"url":94,"summary":95,"summary_zh":96,"content":9,"source_name":97,"source_url":94,"published_at":98,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":99,"score_detail":100,"sources":104,"tags":106,"search_phrases":111,"slug":114,"view_count":38,"doi":115,"paper":116,"created_at":132},3260,"Social capital and scaling in climate-oriented Agricultural Research for Development","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1802627","Introduction Over 15 years of Climate-Smart Agriculture (CSA) practice have generated substantial investment in Agricultural Research for Development (AR4D), yet translating research outputs into sustained impact at scale remains one of the field's most persistent challenges. Social capital, understood as the trust, relational closeness, and social support among actors, has been identified as a key enabler of scaling processes, yet its treatment within climate-oriented AR4D has received limited systematic attention. This study addresses that gap by examining how scaling and social capital are reflected in the documented outcomes of the CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS). Conceptual basis Scaling is conceptualized through three interacting pathways: scaling out (reaching more people and places), scaling up (influencing institutions and policies), and scaling deep (transforming relational norms and practices), following Moore et al. (2015). Social capital is understood as a multidimensional relational resource encompassing trust, relational closeness, and social support, expressed through bonding, bridging, and linking ties. These frameworks are applied as interpretive lenses for reading thematic patterns, rather than as pre-specified categories imposed on the data. Methods Latent Dirichlet Allocation (LDA) topic modeling was applied to 273 CCAFS outcome reports covering 261 AR4D projects across 12 research programs from 2018 to 2021. The 17 topics identified were grouped into four thematic clusters: agricultural systems, climate change adaptation, climate change mitigation, and enabling environments. A document-level co-occurrence analysis assessed how frequently scaling and social capital themes appear together within the same outcome report. Results Scaling appears in only 1.8% of outcome reports and does so retrospectively as a reported result rather than as a planned process. Social capital terms are prevalent across the enabling environment cluster, appearing in 45.4% of reports, yet are rarely articulated as a distinct mechanism of change. Critically, only 0.7% of reports show meaningful co-occurrence of both themes. This near-absence is the study's central empirical contribution: it reveals a systematic disconnection between the relational conditions that enable scaling in practice and the way scaling is conceptualized and monitored in AR4D outcome reporting, pointing to concrete opportunities for programmatic and reporting redesign.","引言 气候智慧型农业（Climate-Smart Agriculture, CSA）实践已逾15年，为农业发展研究（Agricultural Research for Development, AR4D）带来了大量投资，然而将研究成果转化为持续的大规模影响仍是该领域最持久的挑战之一。社会资本——即行动者之间的信任、关系亲密度和社会支持——已被认定为推动规模化进程的关键使能因素，但其在面向气候的农业发展研究中的处理尚未获得充分的系统性关注。本研究通过考察国际农业研究磋商组织气候变化、农业与粮食安全研究项目（CGIAR Research Program on Climate Change, Agriculture, and Food Security, CCAFS）的已记录成果中如何体现规模化与社会资本，来填补这一空白。概念基础 规模化依据Moore等（2015）的框架，通过三条相互作用的路径加以概念化：向外扩展（覆盖更多人群和地区）、向上扩展（影响制度和政策）以及深度扩展（转变关系规范与实践）。社会资本被理解为一种多维关系资源，涵盖信任、关系亲密度和社会支持，通过联结型、桥接型和链接型纽带得以体现。这些框架作为解读主题模式的分析视角加以应用，而非作为预先设定并强加于数据的类别。方法 对2018年至2021年间涵盖12个研究项目、261个农业发展研究项目的273份CCAFS成果报告，应用了潜在狄利克雷分配（Latent Dirichlet Allocation, LDA）主题建模。所识别的17个主题被归为四个主题集群：农业系统、气候变化适应、气候变化减缓以及使能环境。通过文档层面的共现分析，评估了规模化与社会资本主题在同一成果报告中共同出现的频率。结果 规模化仅出现在1.8%的成果报告中，且是以回溯性方式作为已报告的结果而非作为规划中的过程出现。社会资本相关术语在使能环境集群中普遍存在，出现在45.4%的报告中，但很少被明确阐述为一种独特的变革机制。关键在于，仅0.7%的报告显示这两个主题存在有意义的共现。这种近乎缺失是本研究的核心实证贡献：它揭示了在实践中使能规模化的关系条件与农业发展研究成果报告中规模化被概念化和监测的方式之间存在系统性脱节，并指出了项目中具体的改进机会。","Frontiers in Sustainable Food Systems","2026-09-23T00:00:00Z",76,{"impact":65,"substance":101,"depth":18,"authority":102,"freshness":20,"relevant":22,"comment":103},22,14,"基于273份CCAFS项目成果报告的LDA主题建模研究，揭示规模化与社会资本在成果报告中的系统性脱节，方法规范、数据扎实，对农业科研项目管理与评估有参考价值。",[105],{"name":97,"url":94},[107,29,108,109,110],"成果转化","LDA主题模型","农业科研发展","社会资本",[112,113],"CCAFS 气候智慧型农业 规模化","农业科研发展 社会资本 成果转化","CCAFS气候智慧型农业规模化-3260","10.3389\u002Ffsufs.2026.1802627",{"doi":115,"openalex_id":117,"authors":118,"venue":97,"cited_by_count":38,"oa_url":94,"card":127,"direction":51,"ingested_from":52},"W7214061539",[119,122,125],{"name":120,"orcid":121},"Deissy Martínez- Barón","https:\u002F\u002Forcid.org\u002F0000-0003-2317-8760",{"name":123,"orcid":124},"Anne Gravsholt Busck","https:\u002F\u002Forcid.org\u002F0000-0002-7328-795X",{"name":126,"orcid":9},"Steven Dean Prager",{"tldr":128,"method":129,"finding":130,"direction":49,"opportunity":131},"用LDA分析CCAFS成果报告，揭示规模化与社会资本在气候农业研发中被割裂。","LDA主题建模与共现分析，273份CCAFS成果报告（2018-2021）。","规模化仅现于1.8%报告且为事后结果，与社会资本共现仅0.7%，二者系统性脱节。","可将社会资本关系指标嵌入农业研发成果监测与知识图谱，构建可量化的规模化评估模型。","2026-09-23T23:30:06.854102Z",{"id":134,"title":135,"url":136,"summary":137,"summary_zh":138,"content":9,"source_name":139,"source_url":136,"published_at":140,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":99,"score_detail":141,"sources":146,"tags":148,"search_phrases":153,"slug":156,"view_count":38,"doi":157,"paper":158,"created_at":169},3156,"Climate Adaptation and Sustainable Agriculture in Africa: Strategies for Food Security","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.11.no2.2025.pg8.32","This study investigates the role of Climate-Smart Agriculture (CSA) and agroecology in enhancing agricultural resilience and food security in the face of climate change in Africa. Through a comprehensive review of existing literature, case studies, and policy frameworks, the research explores how these adaptive strategies are being implemented across the continent and assesses their effectiveness. The findings reveal that while CSA techniques—such as droughtresistant crop varieties, water-efficient irrigation, and soil management practices—offer tangible benefits to agricultural productivity and resilience, their widespread adoption remains constrained by limited access to finance, inadequate infrastructure, and insufficient extension services. Similarly, agroecological approaches, including crop diversification, agroforestry, and organic farming, have proven successful in fostering sustainable agricultural practices and enhancing biodiversity, yet face significant challenges from prevailing agricultural policies and institutional frameworks that favor large-scale industrial agriculture. The study recommends scaling up the adoption of CSA and agroecology by improving access to financing, technology, and farmer training programs. It also advocates for policy reforms that support agroecological practices and climate adaptation, as well as increased investment in research and development. Additionally, fostering multi-stakeholder collaborations, including public-private partnerships, is critical to overcoming institutional barriers and ensuring the effective implementation of climate adaptation strategies. The conclusion underscores the need for integrated policy frameworks that combine the strengths of CSA and agroecology to build a resilient, sustainable, and food-secure agricultural sector in Africa. By addressing both environmental and socioeconomic challenges, these strategies can significantly contribute to combating the impacts of climate change on African agriculture, ensuring long-term food security and sustainable development.","本研究探讨了气候智能型农业（Climate-Smart Agriculture, CSA）和农业生态学在增强非洲农业应对气候变化韧性和粮食安全方面的作用。通过系统梳理现有文献、案例研究和政策框架，本研究考察了这些适应性策略在非洲大陆的实施情况并评估其有效性。研究发现，尽管气候智能型农业技术——如抗旱作物品种、节水灌溉和土壤管理措施——对提高农业生产力和韧性具有切实效益，但其广泛采用仍受限于融资渠道有限、基础设施不足和推广服务欠缺。同样，农业生态学方法，包括作物多样化、农林业和有机农业，已被证明在促进可持续农业实践和增强生物多样性方面卓有成效，但仍面临来自有利于大规模工业化农业的现行农业政策和制度框架的重大挑战。本研究建议通过改善融资渠道、技术获取和农民培训项目来扩大气候智能型农业和农业生态学的采用。研究还倡导支持农业生态实践和气候适应的政策改革，以及增加研发投入。此外，促进多方利益相关者合作，包括公私合作伙伴关系，对于克服制度障碍和确保气候适应策略的有效实施至关重要。结论强调，需要建立综合性政策框架，将气候智能型农业和农业生态学的优势相结合，以在非洲构建具有韧性、可持续且粮食安全的农业部门。通过同时应对环境和社会经济挑战，这些策略能够为抵御气候变化对非洲农业的影响、确保长期粮食安全和可持续发展作出重大贡献。","IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-21T00:00:00Z",{"impact":18,"substance":142,"depth":143,"authority":144,"freshness":17,"relevant":22,"comment":145},20,17,13,"系统综述非洲气候智慧型农业与生态农业的适应策略及政策障碍，结论可靠但属文献综述，非突破性成果。",[147],{"name":139,"url":136},[149,150,29,151,152],"粮食安全","非洲农业","农业适应","生态农业",[154,155],"气候智慧型农业 非洲","生态农业 粮食安全","气候智慧型农业非洲-3156","10.56201\u002Fijgem.vol.11.no2.2025.pg8.32",{"doi":157,"openalex_id":159,"authors":160,"venue":139,"cited_by_count":22,"oa_url":9,"card":163,"direction":51,"ingested_from":52},"W7213982962",[161],{"name":162,"orcid":9},"Ayobami Samuel Owoyemi",{"tldr":164,"method":165,"finding":166,"direction":167,"opportunity":168},"综述气候智慧型农业与生态农业在非洲提升农业韧性与粮食安全的成效及障碍。","文献综述、案例研究与政策框架分析。","两类策略有效但受资金、基建、推广服务及政策偏向制约。","农业绿色发展与碳","可量化评估CSA与生态农业在非洲不同区域的适配性与政策协同效果。","2026-09-22T23:30:10.505058Z",{"id":171,"title":172,"url":173,"summary":174,"summary_zh":175,"content":9,"source_name":10,"source_url":173,"published_at":176,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":63,"score_detail":177,"sources":179,"tags":183,"search_phrases":188,"slug":191,"view_count":38,"doi":192,"paper":193,"created_at":215},2931,"UNDERSTANDING THE CONSTRAINTS OF CLIMATE-SMART AGRICULTURE AMONG SMALLHOLDER FARMERS IN SOUTHWESTERN NIGERIA","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832901","Climate-smart agriculture (CSA) has gained increasing attention as an approach for improving agricultural productivity and strengthening the resilience of farming systems to climate variability and change. However, the willingness of farmers to embrace CSA does not necessarily translate into implementation. This study examined the factors influencing the willingness of 190 smallholder farmers in Akinyele Local Government Area of Oyo State, southwestern Nigeria, to implement CSA, the principal constraints to implementation, sources of agricultural information, institutional support and farmers' preferred strategies for strengthening implementation among 190 smallholder farmers in Akinyele Local Government Area of Oyo State, southwestern Nigeria. Data were collected using a structured questionnaire and analysed mainly with frequencies and percentages, while ordered response-scale variables were summarised with appropriate scale-based measures. Cost of implementation was the most frequently identified factor influencing willingness (32.7%), followed by knowledge and information (28.4%) and resources (22.6%). Cost was also the dominant implementation constraint (54.7%), followed by uncertainty about the effectiveness of CSA practices (25.8%) and difficulty learning new techniques (19.5%). Most respondents (94.7%) reported receiving some form of agricultural or institutional support, although financial assistance accounted for only 13.7% of the reported support. Government extension officers were the principal source of agricultural information (55.3%), while government incentives or subsidies were the most preferred strategy for strengthening implementation (50.5%). Demonstration farms and farmer field schools were the most preferred learning approaches (32.6% each). The findings indicate that the central challenge is not simply awareness or willingness but farmers' capacity to convert willingness into practical action. Therefore, strengthening CSA implementation requires coordinated financial, technical, informational, and institutional support rather than awareness creation alone.","气候智慧型农业(CSA)作为提高农业生产力和增强农业系统对气候变率与气候变化适应力的方法，日益受到关注。然而，农民接受气候智慧型农业的意愿并不必然转化为实际实施。本研究考察了尼日利亚西南部奥约州阿基涅莱地方政府区190户小农户实施气候智慧型农业意愿的影响因素、实施的主要制约因素、农业信息来源、制度支持以及农民偏好用于加强实施的策略。数据通过结构化问卷收集，主要以频数和百分比进行分析，有序响应量表变量则采用适当的量表测量指标进行汇总。实施成本是影响意愿最常被提及的因素(32.7%)，其次是知识和信息(28.4%)以及资源(22.6%)。成本也是主要的实施制约因素(54.7%)，其次是对气候智慧型农业实践有效性的不确定性(25.8%)和学习新技术的困难(19.5%)。大多数受访者(94.7%)报告获得了某种形式的农业或制度支持，尽管财政援助仅占所报告支持的13.7%。政府推广人员是农业信息的主要来源(55.3%)，而政府激励或补贴是加强实施最受偏好的策略(50.5%)。示范农场和农民田间学校是最受偏好的学习方式(各占32.6%)。研究结果表明，核心挑战不仅仅是意识或意愿问题，而是农民将意愿转化为实际行动的能力。因此，加强气候智慧型农业的实施需要协调的财政、技术、信息和制度支持，而非仅仅开展意识宣传。","2026-09-18T00:00:00Z",{"impact":17,"substance":18,"depth":102,"authority":65,"freshness":20,"relevant":22,"comment":178},"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。",[180,181],{"name":10,"url":173},{"name":10,"url":182},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22832902",[184,29,185,186,187],"小农户","农业推广","尼日利亚","农业信息获取",[189,190],"尼日利亚 小农户 气候智慧型农业","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":192,"openalex_id":194,"authors":195,"venue":10,"cited_by_count":38,"oa_url":173,"card":210,"direction":51,"ingested_from":52},"W7213579850",[196,198,200,202,204,206,208],{"name":197,"orcid":9},"Folasade J. Odekunle",{"name":199,"orcid":9},"Jechoniah AGABI",{"name":201,"orcid":9},"Adedotun A. Adetunji",{"name":203,"orcid":9},"Omotunde M. KILASHO",{"name":205,"orcid":9},"Idris O. JINADU",{"name":207,"orcid":9},"Gabriel O. Adebayo",{"name":209,"orcid":9},"Adedayo S. Adediran",{"tldr":211,"method":212,"finding":213,"direction":49,"opportunity":214},"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":217,"title":218,"url":219,"summary":220,"summary_zh":9,"content":9,"source_name":221,"source_url":219,"published_at":176,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":222,"score_detail":223,"sources":225,"tags":227,"search_phrases":229,"slug":232,"view_count":38,"doi":233,"paper":234,"created_at":240},2924,"Climate-Smart Agriculture Package Combinations and Household Food and Nutrition Security among Smallholder Farmers in Southwestern Ethiopia","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-11073051\u002Fv1","Climate-Smart Agriculture Package Combinations and Household Food and Nutrition Security among Smallholder Farmers in Southwestern Ethiopia。Research Square","Research Square",56,{"impact":17,"substance":18,"depth":19,"authority":55,"freshness":21,"relevant":22,"comment":224},"研究主题契合气候智慧型农业与小农户粮食安全，但属区域性论文且来源为预印本平台，公共影响与权威性有限，暂不建议进入每日精选。",[226],{"name":221,"url":219},[149,184,29,228],"埃塞俄比亚",[230,231],"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 粮食安全 小农户","埃塞俄比亚小农户气候智慧型农业-2924","10.21203\u002Frs.3.rs-11073051\u002Fv1",{"doi":233,"openalex_id":235,"authors":236,"venue":221,"cited_by_count":38,"oa_url":219,"card":9,"direction":51,"ingested_from":52},"W7213535845",[237],{"name":238,"orcid":239},"Tesfaye Gafaro Ololo","https:\u002F\u002Forcid.org\u002F0009-0006-7838-5264","2026-09-19T23:30:10.838601Z",{"id":242,"title":243,"url":244,"summary":245,"summary_zh":246,"content":9,"source_name":247,"source_url":244,"published_at":248,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":249,"score_detail":250,"sources":253,"tags":255,"search_phrases":259,"slug":262,"view_count":38,"doi":263,"paper":264,"created_at":283},2637,"Determinants of CSA Adoption in Coastal Bangladesh: An Application of Structural Path Analysis","https:\u002F\u002Fdoi.org\u002F10.59978\u002Far04030018","Climate-smart agriculture (CSA) is widely promoted to reconcile productivity, resilience, and emissions goals among smallholder farmers, yet adoption of capital-intensive CSA technologies remains low and uneven in climate-vulnerable coastal agriculture. This study examines socio-demographic, institutional, and behavioral determinants of CSA adoption among farming households in selected coastal districts of Bangladesh. This cross-sectional study interviewed 386 farmers from 3 selected coastal districts of Bangladesh following a multi-stage random sampling. Results were interpreted using descriptive statistics, Spearman’s correlation, adoption-difficulty (quadrant) analysis, and structural path analysis. Adoption levels varied widely across 30 CSA practices. Low-cost, knowledge-based practices such as raised bed homestead gardening, airtight seed storage, and heat and salinity-tolerant crops were widely adopted, whereas capital-intensive technologies such as poly-net houses, solar irrigation, and the sorjan method remained rare. Extension communication showed the strongest association with extension strategies for promoting CSA (β = 0.551), whereas strategies for promoting CSA, knowledge of CSA, and climate change perception were important predictors of CSA adoption. Importantly, the ICT usage had a negative relationship with climate change perception, indicating a digital paradox whereby the higher connectivity does not lead to a better understanding of the issues related to climate change. The research shows that there is a necessity for combined extension approaches based on face-to-face extension efforts, participatory learning platforms, and credible digital technologies combined with strong farmer organizations for increasing CSA adoption in coastal Bangladesh.","气候智慧型农业(CSA)被广泛推广，以期在小农户中协调生产力、韧性与排放目标，但在气候脆弱的沿海农业中，资本密集型CSA技术的采用率仍然较低且不均衡。本研究考察了孟加拉国部分沿海地区农户采用CSA的社会人口、制度与行为决定因素。本横断面研究采用多阶段随机抽样方法，访谈了孟加拉国3个选定沿海地区的386名农民。研究结果通过描述性统计、斯皮尔曼相关分析、采用难度(象限)分析和结构路径分析进行解读。30项CSA实践的采用水平差异很大。低成本、知识型实践，如高垄庭院种植、密封种子储藏以及耐热耐盐作物，被广泛采用；而资本密集型技术，如Poly-net温室、太阳能灌溉和sorjan法，则仍然很少见。推广沟通与促进CSA的推广策略关联最强(β = 0.551)，而促进CSA的策略、CSA知识和气候变化认知是CSA采用的重要预测因素。重要的是，信息通信技术(ICT)使用与气候变化认知呈负相关，表明存在一种数字悖论，即更高的连通性并未带来对气候变化相关问题更好的理解。研究表明，有必要采取综合推广方式，以面对面推广工作、参与式学习平台和可信数字技术为基础，并结合强大的农民组织，以提高孟加拉国沿海地区对CSA的采用。","Agricultural & Rural Studies","2026-09-16T00:00:00Z",73,{"impact":65,"substance":251,"depth":143,"authority":144,"freshness":20,"relevant":22,"comment":252},21,"基于386户问卷的结构路径分析，揭示ICT使用与气候变化认知的“数字悖论”，对气候智慧型农业推广与数字乡村建设有实证参考价值。",[254],{"name":247,"url":244},[256,184,257,258,29],"农业信息化","农技推广","数字鸿沟",[260,261],"气候智慧型农业 农业信息化 农技推广 数字鸿沟","气候智慧型农业 农业信息化","气候智慧型农业农业信息化农技推广数字鸿沟-2637","10.59978\u002Far04030018",{"doi":263,"openalex_id":265,"authors":266,"venue":247,"cited_by_count":38,"oa_url":244,"card":278,"direction":51,"ingested_from":52},"W7213241723",[267,270,273,275],{"name":268,"orcid":269},"Md. Sumon Howlader","https:\u002F\u002Forcid.org\u002F0009-0009-8951-3307",{"name":271,"orcid":272},"Md. Mamun-ur-Rashid","https:\u002F\u002Forcid.org\u002F0000-0001-7632-1829",{"name":274,"orcid":9},"Md. Kamrul Hasan",{"name":276,"orcid":277},"Md. Ektear Uddin","https:\u002F\u002Forcid.org\u002F0000-0002-8003-8134",{"tldr":279,"method":280,"finding":281,"direction":49,"opportunity":282},"研究孟加拉沿海农户气候智慧型农业(CSA)采纳的社会、制度与行为决定因素。","386户多阶段随机抽样，用描述统计、Spearman相关、象限分析和结构路径分析","推广沟通影响最强；ICT使用与气候变化认知负相关，存在数字悖论。","可探究ICT使用为何未提升气候认知，检验数字鸿沟、信息质量与信任的中介机制。","2026-09-16T23:30:09.724808Z"]