[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-30":3,"related-30":70},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":29,"secondary_topics":35,"classification":36,"search_phrases":64,"slug":67,"view_count":43,"doi":68,"paper":8,"created_at":69},30,"数字素养与农民对社会化服务的采纳：基于CRRS数据验证的U型关系","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1722049\u002Ffull","基于2020年中国社会科学院乡村振兴调查（CRRS）数据，采用因子分析和回归方法考察农民数字素养与社会化服务规模经营的关系。研究发现数字素养对服务规模经营整体呈先抑制后促进的U型关系，转折点约为0.47，机制上通过自然、社会、金融和人力资本四重中介路径发挥作用；分维度看数字信息与社会素养呈U型，数字商业素养呈线性正向；异质性上偏远农村和东部地区U型显著、中部不显著、西部线性正向，城乡郊区因机会成本高而无显著效应。",null,"Frontiers in Sustainable Food Systems · 2026-07-24","2026-07-24T00:00:00Z","论文",10,false,76,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,14,4,1,"基于CRRS数据的实证研究，揭示数字素养与社会化服务采纳的U型关系，对数字乡村建设有参考价值。",[23],{"name":9,"url":6},[25,26,27,28],"农业信息化","数字素养","社会化服务","U型关系",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[],{"status":37,"locked":13,"version":38,"method":39,"evidence":40},"classified","2026-10-22.2","rules",{"candidates":41,"agricultural_evidence":44},[42,48,54,59],{"code":30,"score":43,"supported":44,"title":45,"abstract":46,"tags":47},12,true,[27],[27],[27],{"code":34,"score":49,"supported":44,"title":50,"abstract":51,"tags":53},3,[],[52],"乡村振兴",[],{"code":55,"score":20,"supported":13,"title":56,"abstract":57,"tags":58},"I1",[],[],[25],{"code":60,"score":20,"supported":13,"title":61,"abstract":62,"tags":63},"I6",[],[],[26],[65,66],"农业信息化 社会化服务 数字素养 U型关系","农业信息化 社会化服务","农业信息化社会化服务数字素养U型关系-30","10.3389\u002Ffsufs.2026.1722049\u002Ffull","2026-07-28T03:05:26.994652Z",{"total":71,"page":20,"page_size":71,"items":72},6,[73,120,171,230,320,400],{"id":74,"title":75,"url":76,"summary":77,"summary_zh":8,"content":78,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":79,"score_detail":80,"sources":84,"tags":86,"primary_topic":90,"secondary_topics":91,"classification":92,"search_phrases":113,"slug":116,"view_count":117,"doi":118,"paper":8,"created_at":119},53,"数字素养、虚拟社交网络与家庭农场新技术采纳：来自中国辽宁421户种植型家庭农场的证据","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1915916\u002Ffull","基于辽宁省14个地级市421户种植型家庭农场的田野调查数据，运用Poisson回归与Tobit模型考察数字素养对新技术采纳数量与需求实现度的影响。研究发现数字素养显著增加新技术采纳数量，并与需求实现度呈倒U型关系；异质性分析显示在非示范家庭农场和低教育经营者中效应更明显；机制分析显示数字素养通过扩展家庭农场经营者的虚拟社交网络影响新技术采纳数量与需求实现度；进一步分析表明信贷可及性在数字素养与需求实现度倒U型关系中起调节作用。研究为提升家庭农场经营者数字素养、优化农技供给、推进可持续农业转型提供实证依据。","[](https:\u002F\u002Fwww.frontiersin.org\u002F)\n\n[![Image 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Sustain. Food Syst.\n\nSec. Agricultural and Food Economics\n\nVolume 10 - 2026 |  doi: 10.3389\u002Ffsufs.2026.1915916\n\n[Published in ![Image 6: Frontiers in Sustainable Food Systems](https:\u002F\u002Fd2csxpduxe849s.cloudfront.net\u002Fmedia\u002FE32629C6-9347-4F84-81FEAEF7BFA342B3\u002FF3B1CE16-45F3-4D96-BE72BE0491F0DAF2\u002Fwebimage-08DFEB67-EB21-43D0-995D8A1DFF53DB18.png) Frontiers in Sustainable Food Systems * #### Agricultural and Food Economics * **4.1** impact factor * **6** citescore](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems)[Part of a Research Topic Adoption and Economics of ICT-Enabled Agricultural Extension and Information Services Submission open * **5472** views * **4** articles](https:\u002F\u002Fwww.frontiersin.org\u002Fresearch-topics\u002F78643\u002Fadoption-and-economics-of-ict-enabled-agricultural-extension-and-information-services)\n\n### Reviewers\n\nReviewed by\n\n![Image 7: 2 Anonymous reviewers](https:\u002F\u002Fstatic2.frontiersin.org\u002Fstatic-resources\u002Fimages\u002Fdefault_profileimage.webp)\n\n2 Anonymous reviewers\n\nOutline\n\n*    [Abstract](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1915916\u002Ffull#h1)\n\n## ORIGINAL RESEARCH article\n\nFront. Sustain. Food Syst.\n\nSec. Agricultural and Food Economics\n\n# Digital literacy, virtual social networks and new agricultural technologies adoption: evidence from Chinese crop-producing family farms\n\n*   [![Image 8: Shuxin Li](https:\u002F\u002Floop.frontiersin.org\u002Fimages\u002Fprofile\u002F3572041\u002F74) Shuxin Li](https:\u002F\u002Floop.frontiersin.org\u002Fpeople\u002F3572041)\n*   [![Image 9: Xu Li](https:\u002F\u002Floop.frontiersin.org\u002Fimages\u002Fprofile\u002F3565411\u002F74) Xu Li](https:\u002F\u002Floop.frontiersin.org\u002Fpeople\u002F3565411)\n\n*   Shenyang Agricultural University, Shenyang, China\n\nArticle metrics\n\n[View details](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1915916\u002Ffull#metrics)\n\n106\n\nViews\n\nThe final, formatted version of the article will be published soon.\n\nNotify me\n\nSelect one of your emails\n\nYou have multiple emails registered with Frontiers:\n\nNotify me\n\nNotify me on publication\n\nPlease enter your email address:\n\nEmail \n\nIf you already have an account, please [login](https:\u002F\u002Fwww.frontiersin.org\u002Flogin?returnUrl=\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1915916\u002Fabstract)\n\nYou don't have a Frontiers account ? You can [register here](https:\u002F\u002Fwww.frontiersin.org\u002Fregister?returnUrl=\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1915916\u002Fabstract)\n\nNotify me\n\n## Abstract\n\nThe adoption of new agricultural technologies is essential for improving agricultural productivity, advancing sus",73,{"impact":16,"substance":17,"depth":16,"authority":81,"freshness":82,"relevant":20,"comment":83},13,2,"学术论文，研究数字素养与虚拟社交网络对家庭农场技术采纳的影响，基于辽宁421户样本，方法新颖，数据可靠，但发表于4天前，时效性较低。",[85],{"name":9,"url":76},[25,26,87,88,89],"家庭农场","新技术采纳","虚拟社交网络",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":93},{"candidates":94,"agricultural_evidence":44},[95,99,105,109],{"code":30,"score":43,"supported":44,"title":96,"abstract":97,"tags":98},[87],[87],[87],{"code":100,"score":49,"supported":44,"title":101,"abstract":102,"tags":104},"H8",[],[103],"可持续农业",[],{"code":55,"score":20,"supported":13,"title":106,"abstract":107,"tags":108},[],[],[25],{"code":60,"score":20,"supported":13,"title":110,"abstract":111,"tags":112},[],[],[26],[114,115],"虚拟社交网络 农业信息化 新技术采纳 家庭农场","虚拟社交网络 农业信息化","虚拟社交网络农业信息化新技术采纳家庭农场-53",11,"10.3389\u002Ffsufs.2026.1915916\u002Ffull","2026-07-28T23:53:31.274355Z",{"id":121,"title":122,"url":123,"summary":124,"summary_zh":8,"content":8,"source_name":125,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":126,"score_detail":127,"sources":130,"tags":132,"primary_topic":137,"secondary_topics":138,"classification":139,"search_phrases":156,"slug":159,"view_count":20,"doi":8,"paper":160,"created_at":170},4972,"数字赋能:助推小农户融入现代农业发展轨道——基于全国农户微观数据的考察","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fjnxb\u002Fmulu\u002F633014.html","钟文晶、李丹、罗必良(华南农业大学经济管理学院)基于有限理性假设和信息不对称理论,探讨互联网信息技术助推小农户数字赋能的内在机理,并利用中国劳动力动态调查(CLDS)2018年的微观数据进行实证检验。结果表明,互联网使用有效促进了小农户农业生产的机械化、土地经营的规模化以及对农业的生产性投资;异质性分析表明,数字赋能在大规模农户、中老年农户、中部和东北地区的农户组中的作用尤为显著。文章强调应加快推进农村地区的数字基础设施建设,提升农户的数字素养。","《农业经济问题》",79,{"impact":17,"substance":128,"depth":16,"authority":18,"freshness":82,"relevant":20,"comment":129},23,"基于全国微观数据的实证研究，结论扎实且具政策参考价值，但时效性偏弱，适合主题聚合而非当日精选。",[131],{"name":125,"url":123},[133,26,134,135,136],"数字乡村","小农户","互联网使用","农村数字基建",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":140},{"candidates":141,"agricultural_evidence":44},[142,146,152],{"code":30,"score":43,"supported":44,"title":143,"abstract":144,"tags":145},[134],[134],[134],{"code":147,"score":49,"supported":44,"title":148,"abstract":149,"tags":151},"F5",[],[150],"机械化",[],{"code":60,"score":82,"supported":13,"title":153,"abstract":154,"tags":155},[],[],[133,26],[157,158],"华南农业大学 小农户 数字赋能","CLDS 互联网使用 农业生产","华南农业大学小农户数字赋能-4972",{"doi":8,"openalex_id":8,"authors":161,"venue":8,"cited_by_count":162,"oa_url":8,"card":163,"direction":167,"ingested_from":169},[],0,{"tldr":164,"method":165,"finding":166,"direction":167,"opportunity":168},"基于CLDS数据实证检验互联网使用如何助推小农户融入现代农业发展。","有限理性与信息不对称理论，CLDS 2018农户微观数据实证。","互联网使用促进小农户机械化、规模化和生产性投资，中老年及中部东北农户效应更显著。","数字乡村与农业信息化","可探究数字素养培训与数字基础设施如何协同提升小农户数字赋能效果。","agent","2026-10-15T00:06:09.096458Z",{"id":172,"title":173,"url":174,"summary":175,"summary_zh":176,"content":8,"source_name":177,"source_url":174,"published_at":178,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":179,"score_detail":180,"sources":184,"tags":186,"primary_topic":189,"secondary_topics":190,"classification":191,"search_phrases":209,"slug":212,"view_count":82,"doi":213,"paper":214,"created_at":229},4175,"Integrating Agricultural Technology Adoption and Financial Inclusion as a Strategy to Improve Micro-Scale Farm Productivity in Rural Areas of South Sumatra","https:\u002F\u002Fdoi.org\u002F10.38124\u002Fijisrt\u002F26sep241","Micro-scale farming faces various constraints in improving productivity, particularly in relation to farmers' ability to adopt technology and access financing that meets their business needs. Agricultural technology can improve the efficiency of input use, access to information, farm management, and decision-making. However, technology adoption among smallholder farmers is still influenced by digital literacy, infrastructure, economic conditions, and institutional factors. On the other hand, access to credit can improve farm productivity and technical efficiency by enabling farmers to obtain production inputs and make productive investments. This study aims to: (1) analyze the effect of agricultural technology adoption on micro-scale farm productivity; and (2) analyze the effect of financial inclusion access on micro-scale farm productivity. The study employs a quantitative explanatory approach using multiple linear regression analysis. A total of 300 farm observations are used as simulated data to demonstrate the proposed analytical framework; therefore, the numerical results do not represent findings from an actual field survey. The independent variables consist of an agricultural technology adoption index and a financial inclusion access index, while farm productivity serves as the dependent variable. Farmers' age, education level, and land area are included as control variables. The results indicate that agricultural technology adoption and financial inclusion access have positive and statistically significant effects on farm productivity. The model explains a substantial proportion of the variation in productivity and provides an initial basis for further empirical investigation into the role of technology and financing in micro-scale farming. These findings are illustrative in nature and should be validated using primary data collected from farmers.","微观农业在提高生产力方面面临各种制约，尤其是农民采用技术以及获取满足其经营需求的融资能力方面的制约。农业技术可以提高投入品使用效率、信息获取、农场管理和决策效率。然而，小农户的技术采用仍受到数字素养、基础设施、经济条件和制度因素的影响。另一方面，获得信贷可以通过使农民能够获取生产投入并进行生产性投资来提高农场生产力和技术效率。本研究旨在：(1) 分析农业技术采用对微观农场生产力的影响；(2) 分析普惠金融获取对微观农场生产力的影响。本研究采用定量解释性方法，运用多元线性回归分析。共使用300个农场观测值作为模拟数据来展示所提出的分析框架；因此，数值结果不代表实际实地调查的发现。自变量包括农业技术采用指数和普惠金融获取指数，农场生产力为因变量。农民年龄、教育水平和土地面积作为控制变量纳入分析。结果表明，农业技术采用和普惠金融获取对农场生产力具有正向且统计显著的影响。该模型解释了生产力变异的相当大比例，为进一步实证研究技术和融资在微观农业中的作用提供了初步基础。这些发现具有示例性质，应使用从农民处收集的一手数据加以验证。","International Journal of Innovative Science and Research Technology (IJISRT)","2026-10-03T00:00:00Z",41,{"impact":181,"substance":12,"depth":181,"authority":71,"freshness":182,"relevant":20,"comment":183},8,9,"主题相关但数据为模拟生成、期刊权威性一般，仅具方法参考价值，不建议进入每日精选。",[185],{"name":177,"url":174},[25,134,187,188],"普惠金融","农业技术采纳",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":192},{"candidates":193,"agricultural_evidence":44},[194,200,205],{"code":30,"score":195,"supported":44,"title":196,"abstract":197,"tags":199},7,[],[134,198],"smallholder",[134],{"code":201,"score":20,"supported":13,"title":202,"abstract":203,"tags":204},"G1",[],[],[188],{"code":55,"score":20,"supported":13,"title":206,"abstract":207,"tags":208},[],[],[25],[210,211],"南苏门答腊 小农户 生产力","农业技术采纳 普惠金融","南苏门答腊小农户生产力-4175","10.38124\u002Fijisrt\u002F26sep241",{"doi":213,"openalex_id":215,"authors":216,"venue":177,"cited_by_count":162,"oa_url":174,"card":223,"direction":167,"ingested_from":228},"W7218524136",[217,220],{"name":218,"orcid":219},"Lisa Hermawati","https:\u002F\u002Forcid.org\u002F0009-0001-5824-7052",{"name":221,"orcid":222},"Ema Pusvita","https:\u002F\u002Forcid.org\u002F0009-0002-2813-5567",{"tldr":224,"method":225,"finding":226,"direction":167,"opportunity":227},"用模拟数据回归分析农业技术采纳与金融普惠对微规模农场生产力的影响。","多元线性回归，300条模拟数据，构建技术采纳与金融普惠指数。","技术采纳和金融普惠均显著正向提升微规模农场生产力。","需用真实农户调查数据验证，并探究数字素养与信贷可得性的交互机制。","openalex","2026-10-04T23:30:30.503599Z",{"id":231,"title":232,"url":233,"summary":234,"summary_zh":235,"content":8,"source_name":236,"source_url":233,"published_at":237,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":238,"score_detail":239,"sources":241,"tags":243,"primary_topic":247,"secondary_topics":253,"classification":255,"search_phrases":288,"slug":291,"view_count":292,"doi":293,"paper":294,"created_at":319},3469,"ARTIFICIAL INTELLIGENCE FOR AGRICULTURE: A SYSTEMATIC REVIEW OF FARMERS' PERCEPTIONS, ACCEPTANCE, ADOPTION AND BARRIERS","https:\u002F\u002Fdoi.org\u002F10.64013\u002Fbbasrjlifess.v2026i1.70","Artificial intelligence (AI) is rapidly reshaping agriculture, enabling the application of data for efficient decision-making, precision farming, crop monitoring, pest management, disease detection, smart irrigation, yield prediction, and various aspects of farm automation. Yet, to successfully gain a foothold in farms, factors like farmers' perceptions, their acceptance, desire, and readiness to adopt, as well as the capability to surmount socioeconomic, technological, and institutional challenges, must also make a difference. This article systematically collates the available information on farmers' perspectives on, acceptance of, readiness to adopt, and the obstacles related to AI in the agricultural context. The PRISMA 2020 guideline has been followed to select studies that are related, evaluated for inclusion, and finally, per the criteria, combined into a systematic synthesis. The review mainly discusses the aspects that influence the use of AI, like perceived usefulness, ease of use, trust, digital literacy, affordability, farm size, socioeconomic characteristics, availability of digital infrastructure, and access to agricultural technical advisory services. Main challenges identified involve the high cost of implementing AI, poor connectivity, weak rural infrastructure, low levels of technological knowledge, unavailability of support services, concerns about data privacy, distrust of algorithmic bias, language barriers, and inequalities impacting smallholder farmers. Besides barriers, the review indicates the potential of leveraging AI through extension services, agricultural mobile apps, precision farming, climate-smart agriculture, early-warning systems, and tailored farm advisories. By drawing out technical, behavioral, socioeconomic, and institutional perspectives, the review pinpoints important research questions and presents a farmholder-oriented setup to explain the process of taking up AI in farming. The outcomes can be used by scientific experts, policymakers, extension personnel, and software developers to create low-cost, reliable, and accessible AI systems aimed at promoting sustainable agricultural development.","人工智能（AI）正迅速重塑农业，使数据得以应用于高效决策、精准农业、作物监测、病虫害管理、病害检测、智能灌溉、产量预测以及农场自动化的各个方面。然而，要在农场中成功立足，农民的认知、接受度、采用意愿和准备程度，以及克服社会经济、技术和制度挑战的能力，同样至关重要。本文系统梳理了现有关于农民对农业领域人工智能的看法、接受度、采用准备程度及相关障碍的信息。研究遵循PRISMA 2020指南，筛选相关研究，评估其纳入资格，并最终依据标准进行系统性综合。综述主要探讨了影响人工智能使用的因素，包括感知有用性、易用性、信任、数字素养、可负担性、农场规模、社会经济特征、数字基础设施的可用性以及农业技术咨询服务的获取。识别出的主要挑战包括人工智能实施成本高昂、网络连接不佳、农村基础设施薄弱、技术水平低下、支持服务缺乏、数据隐私担忧、对算法偏见的疑虑、语言障碍以及影响小农户的不平等问题。除障碍外，综述还指出了通过推广服务、农业移动应用、精准农业、气候智慧型农业、预警系统和定制化农场咨询来利用人工智能的潜力。通过梳理技术、行为、社会经济和制度层面的视角，本综述指出了重要的研究问题，并提出了一个以农场主为导向的框架，以解释在农业中采用人工智能的过程。研究结果可供科学专家、政策制定者、推广人员和软件开发者用于创建低成本、可靠且可及的人工智能系统，以促进可持续农业发展。","Journal of Life and Social Sciences","2026-09-24T00:00:00Z",80,{"impact":16,"substance":17,"depth":16,"authority":81,"freshness":182,"relevant":20,"comment":240},"基于PRISMA的系统综述，系统梳理农户对AI的认知、接受度与采纳障碍，对智慧农业推广与政策设计有实质参考价值。",[242],{"name":236,"url":233},[244,245,26,246,134],"智慧农业","农业人工智能","农户采纳",{"code":248,"slug":249,"name":250,"path":251,"parent_code":252},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[254],{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},{"status":37,"locked":13,"version":38,"method":39,"evidence":256},{"candidates":257,"agricultural_evidence":44},[258,263,267,273,280,284],{"code":248,"score":43,"supported":44,"title":259,"abstract":261,"tags":262},[260],"artificial intelligence",[260],[245],{"code":30,"score":181,"supported":44,"title":264,"abstract":265,"tags":266},[],[134,198],[246,134],{"code":55,"score":195,"supported":44,"title":268,"abstract":269,"tags":272},[],[270,271],"精准农业","smart agriculture",[244],{"code":274,"score":71,"supported":44,"title":275,"abstract":276,"tags":279},"H3",[],[277,278],"灌溉","irrigation",[],{"code":100,"score":49,"supported":44,"title":281,"abstract":282,"tags":283},[],[103],[],{"code":60,"score":20,"supported":13,"title":285,"abstract":286,"tags":287},[],[],[26],[289,290],"农民 AI 采纳 障碍","农业人工智能 系统综述","农民AI采纳障碍-3469",5,"10.64013\u002Fbbasrjlifess.v2026i1.70",{"doi":293,"openalex_id":295,"authors":296,"venue":236,"cited_by_count":162,"oa_url":233,"card":313,"direction":318,"ingested_from":228},"W7214189410",[297,299,301,303,305,307,309,311],{"name":298,"orcid":8},"MM JAMEEL",{"name":300,"orcid":8},"M SAEED",{"name":302,"orcid":8},"SA SHER",{"name":304,"orcid":8},"Z ALI",{"name":306,"orcid":8},"Q HAYYAT",{"name":308,"orcid":8},"S KIRBAG",{"name":310,"orcid":8},"S KHAN",{"name":312,"orcid":8},"HN AHMAD",{"tldr":314,"method":315,"finding":316,"direction":167,"opportunity":317},"系统综述农民对农业AI的感知、接受度、采纳意愿及障碍。","遵循PRISMA 2020指南，系统筛选并综合相关文献。","成本、基础设施、数字素养与信任是主要障碍，小农户受影响最大。","可研究低成本、本地化AI采纳模型及小农户数字包容机制。","智慧农业 \u002F 农业物联网","2026-09-25T23:30:09.670568Z",{"id":321,"title":322,"url":323,"summary":324,"summary_zh":325,"content":8,"source_name":326,"source_url":323,"published_at":237,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":79,"score_detail":327,"sources":331,"tags":333,"primary_topic":337,"secondary_topics":343,"classification":345,"search_phrases":376,"slug":379,"view_count":19,"doi":380,"paper":381,"created_at":399},3330,"Beyond awareness: accounting for information exposure bias in adoption and income effects of Orange-Fleshed Sweet Potato technology among smallholder farming households in Nigeria","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1907286","This study examined the role of information exposure in the adoption of Orange-Fleshed Sweet Potato (OFSP) technology and its effect on the income of smallholder sweet potato farming households in Nigeria. Using cross-sectional primary data collected from 320 smallholder sweet potato farming households in Osun and Kwara States through a two-stage sampling procedure, the study accounted for heterogeneous awareness exposure and actual adoption behavior. The Heckman probit selection model was employed to distinguish between awareness exposure and adoption conditional on awareness, while the Endogenous Treatment Effect (ETE) and Inverse-Probability-Weighted Regression Adjustment (IPWRA) models were used to estimate the income effects of OFSP adoption while correcting for potential endogeneity and selection bias. The findings showed that awareness exposure was significantly influenced by age, marital status, household size, and membership in farmer associations, whereas adoption conditional on awareness was significantly associated with education, farming experience, and access to credit. Descriptively, OFSP adopters reported more favorable perceptions of the technology’s productivity, climate resilience, and nutritional benefits than non-adopters. Both ETE and IPWRA estimates further indicated that OFSP adoption had a positive and significant effect on household income. The study concludes that awareness and adoption are distinct stages influenced by different factors. Policies aimed at promoting OFSP adoption should therefore strengthen targeted information dissemination, extension support, farmer education, and access to credit to enhance adoption, household income, food security, nutrition, and rural livelihoods.","本研究考察了信息接触在橙肉甘薯（Orange-Fleshed Sweet Potato, OFSP）技术采纳中的作用及其对尼日利亚小农户甘薯种植家庭收入的影响。研究采用两阶段抽样程序，从奥孙州和夸拉州320户小农户甘薯种植家庭收集了横截面原始数据，并考虑了异质性认知接触与实际采纳行为。研究运用Heckman probit选择模型区分认知接触与在认知条件下的采纳行为，同时采用内生处理效应（Endogenous Treatment Effect, ETE）模型和逆概率加权回归调整（Inverse-Probability-Weighted Regression Adjustment, IPWRA）模型估计OFSP采纳的收入效应，并校正潜在的内生性和选择偏差。研究结果表明，认知接触显著受年龄、婚姻状况、家庭规模和农民协会成员身份的影响，而在认知条件下的采纳行为则与教育程度、种植经验和信贷可得性显著相关。描述性统计显示，OFSP采纳者对技术生产力、气候适应性和营养益处的感知优于非采纳者。ETE和IPWRA估计结果均表明，OFSP采纳对家庭收入具有显著的正向影响。研究结论认为，认知和采纳是受不同因素影响的 distinct 阶段。因此，旨在促进OFSP采纳的政策应加强针对性信息传播、推广支持、农民教育和信贷可得性，以提高采纳率、家庭收入、粮食安全、营养水平和农村生计。","Frontiers in Sustainable Food Systems",{"impact":43,"substance":328,"depth":329,"authority":81,"freshness":12,"relevant":20,"comment":330},21,17,"以信息接触偏差为切入，方法规范、数据扎实，对农业技术推广信息化有参考价值，但属区域国别研究，公共影响有限。",[332],{"name":326,"url":323},[25,134,334,335,336],"甘薯","尼日利亚","信息传播",{"code":338,"slug":339,"name":340,"path":341,"parent_code":342},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains","A",[344],{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},{"status":37,"locked":13,"version":38,"method":39,"evidence":346},{"candidates":347,"agricultural_evidence":44},[348,354,358,365,372],{"code":338,"score":349,"supported":44,"title":350,"abstract":352,"tags":353},15,[351],"potato",[334,351],[334],{"code":30,"score":349,"supported":44,"title":355,"abstract":356,"tags":357},[198],[134,198],[134],{"code":359,"score":71,"supported":44,"title":360,"abstract":361,"tags":364},"A8",[],[362,363],"粮食安全","food security",[],{"code":366,"score":71,"supported":44,"title":367,"abstract":368,"tags":371},"H7",[],[369,370],"气候适应","climate resilience",[],{"code":55,"score":20,"supported":13,"title":373,"abstract":374,"tags":375},[],[],[25],[377,378],"尼日利亚 橙肉甘薯 小农户","信息接触 技术采纳 收入效应","尼日利亚橙肉甘薯小农户-3330","10.3389\u002Ffsufs.2026.1907286",{"doi":380,"openalex_id":382,"authors":383,"venue":326,"cited_by_count":162,"oa_url":323,"card":394,"direction":167,"ingested_from":228},"W7214099591",[384,387,389,391],{"name":385,"orcid":386},"Adetomiwa Kolapo","https:\u002F\u002Forcid.org\u002F0000-0002-0808-1293",{"name":388,"orcid":8},"Melusi Sibanda",{"name":390,"orcid":8},"Nolwazi Z. Khumalo",{"name":392,"orcid":393},"Temitope O. Ojo","https:\u002F\u002Forcid.org\u002F0000-0002-3517-0435",{"tldr":395,"method":396,"finding":397,"direction":167,"opportunity":398},"研究尼日利亚小农户信息接触偏差对橙肉甘薯技术采纳及收入的影响。","320户两阶段抽样调查，用Heckman probit、ETE和IPWRA模型。","信息接触与采纳受不同因素影响，采纳显著提高农户家庭收入。","可延伸研究信息传播渠道差异如何影响技术采纳阶段转化与收入分配。","2026-09-24T23:30:06.870179Z",{"id":401,"title":402,"url":403,"summary":404,"summary_zh":8,"content":8,"source_name":405,"source_url":8,"published_at":406,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":126,"score_detail":407,"sources":410,"tags":412,"primary_topic":416,"secondary_topics":417,"classification":418,"search_phrases":448,"slug":451,"view_count":182,"doi":452,"paper":453,"created_at":460},3327,"Digitalization of smallholder agriculture: Adoption and impacts——特刊导论（Sun et al. 2026）","https:\u002F\u002Fwww.sciopen.com\u002Flocal\u002Farticle_pdf\u002F10.1016\u002Fj.jia.2026.04.021.pdf","《Journal of Integrative Agriculture》2026年专刊导论，IAMO孙占力博士、华中农大熊航教授、北大易红梅教授等担任客座编辑。本专刊收录Liu et al. (2026)研究——使用面板数据和多种估计方法调查数字技术使用如何影响中国易地搬迁农户收入稳定性，发现数字技术显著改善收入水平和稳定性；Hu et al. (2026)使用来自5省1,833个农场的倾向得分匹配数据，发现网络信息使用实际上增加了小农户的化肥支出，反思了农业数字化的复杂性；Bai et al. (2026)研究数字素养通过改善农民对气候灾害风险的感知促进气候适应性生产行为；Amolegbe et al. (2026)研究尼日利亚数字知识与电商估值。","《Journal of Integrative Agriculture》2026专刊","2026-09-17T00:00:00Z",{"impact":16,"substance":17,"depth":408,"authority":18,"freshness":71,"relevant":20,"comment":409},19,"国际期刊专刊导论，汇集多国小农户数字化实证研究，方法扎实、结论具反思性，对农业信息化研究与实践有参考价值。",[411],{"name":405,"url":403},[413,414,26,134,415],"数字农业","农村电商","数字鸿沟",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":419},{"candidates":420,"agricultural_evidence":44},[421,425,431,435,439,444],{"code":30,"score":43,"supported":44,"title":422,"abstract":423,"tags":424},[198],[134],[134],{"code":426,"score":49,"supported":44,"title":427,"abstract":428,"tags":430},"G6",[],[429],"农户收入",[],{"code":366,"score":49,"supported":44,"title":432,"abstract":433,"tags":434},[],[369],[],{"code":60,"score":82,"supported":13,"title":436,"abstract":437,"tags":438},[],[],[26,415],{"code":440,"score":20,"supported":13,"title":441,"abstract":442,"tags":443},"E5",[],[],[414],{"code":55,"score":20,"supported":13,"title":445,"abstract":446,"tags":447},[],[],[413],[449,450],"Journal of Integrative Agriculture 数字农业 专刊","易地搬迁农户 数字技术 收入稳定性","JournalofIntegrativeAgriculture数字农业专刊-3327","10.1016\u002Fj.jia.2026.04.021.pdf",{"doi":452,"openalex_id":8,"authors":454,"venue":8,"cited_by_count":162,"oa_url":8,"card":455,"direction":167,"ingested_from":169},[],{"tldr":456,"method":457,"finding":458,"direction":167,"opportunity":459},"该专刊导论综述小农户农业数字化的采纳与影响，涵盖中国及尼日利亚的多项实证研究。","基于面板数据、倾向得分匹配等方法的专刊导论，整合多国小农户实证研究。","数字技术可提升收入稳定性，但也可能增加化肥支出，数字化影响具有复杂性。","可深入探究数字技术对不同农户群体的异质性影响及化肥增投的机制与调控路径。","2026-09-24T00:04:03.016677Z"]