[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-300":3,"related-300":66},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":8,"secondary_topics":32,"classification":33,"search_phrases":60,"slug":63,"view_count":64,"doi":8,"paper":8,"created_at":65},300,"江西省2026年计划培育21815名高素质农民——开设智慧农业\u002F无人机飞手\u002F乡土文化能人三类专题班","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7670065368295129654\u002F","江西省2026年高素质农民培育工作启动,全省计划培育高素质农民21815人,其中常规培育不少于16065人、专题培育不少于5750人。培训覆盖粮油和重要农产品生产经营主体提升工程、乡村新产业新业态带头人培育工程、文明乡风建设素质素养提升工程三大专项,开设农机手技能提升、数智化技能应用、乡土文化能人三类专题培训班,重点培养智慧农业、数字农业、农产品电商、无人机飞防等领域人才。",null,"2026-08-04 14:51·[北极海新闻](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAr6ZtC5q6IoKwoc1fcTEXnBddtesIeVq8aYh-2vE2Gxg\u002F?source=tuwen_detail)\n\n免费！免费！免费！\n\n**2026年江西省高素质农民培育工作开始啦**\n\n等您来“充电”\n\n为深入贯彻落实习近平新时代中国特色社会主义思想，全面落实中央和省委农村工作会议精神，紧紧围绕粮食和重要农产品稳产保供、巩固拓展脱贫攻坚成果、乡村特色产业提质增效以及文明乡风建设等战略部署，切实满足乡村振兴对高素质人才的迫切需求，江西省持续推进高素质农民培育工程。\n\n本项目由中央财政资金支持，坚持“需求导向、质量优先、突出实效”的原则，由各级农业农村主管部门组织实施，面向广大农业从业者开展系统化、专业化培训。2026年全省计划培育高素质农民21815人，其中常规培育不少于16065人，专题培育不少于5750人。\n\n**一**\n\n**培训内容涵盖三大专项工程**\n\n**1**\n\n**粮油和重要农产品生产经营主体提升工程**\n\n重点开展粮油（大豆、玉米、水稻等）大面积单产提升技术培训，以及畜牧、水产、果蔬、中药材等特色种养殖技术培训，同时着力培养掌握现代农机、无人机操作技能的高素质农机手。\n\n**2**\n\n**乡村新产业新业态带头人培育工程**\n\n聚焦“农业+”新业态，重点培养智慧农业、数字农业、农产品电商（涵盖AI营销、品牌建设等）、农文旅融合等领域的带头人，主要面向返乡大学生、退役军人、农民工等青年群体。\n\n**3**\n\n**文明乡风建设素质素养提升工程**\n\n一方面培养乡村文化传承人、工匠及非遗人才，推动移风易俗，另一方面加强乡村振兴人才的培训，内容涵盖农村改厕、集体资产管理等方面。\n\n**二**\n\n**开设三项专题培训班**\n\n**1**\n\n**农机手技能提升专题班**\n\n围绕粮油作物高质量机播、水稻机械化移栽、高效飞防植保、机收减损、粮食烘干、农机抗灾救灾、农机安全生产、农机保养维修和主体经营管理能力提升等内容，以实操实训和作业演练为重点举办农机手技能提升专题培训班；围绕病虫害防治、农情监测、播种施肥投饵、吊装吊运、药剂飘移防治等内容，举办一批无人机飞手专题培训班。\n\n**2**\n\n**数智化技能应用专题班**\n\n围绕物联网、大数据、人工智能、机器人等信息技术在农业全链条普及应用和智慧农（牧、渔）场发展等内容，举办数智技术应用专题培训班；围绕品牌营销、产品设计、视频拍摄、方案策划等内容，举办一批农产品电商专题培训班。\n\n**3**\n\n**乡土文化能人专题班**\n\n围绕农耕文化保护传承、优秀乡土文艺作品创作和优质乡村文化服务供给，举办一批乡土文化能人专题培训班。\n\n**三**\n\n**怎样报名？**\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002Fc08197d8562545cbbda699f2b06ee320~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1786838063&x-signature=J4sic%2FPe5ynNHp5kW2%2Bb4D7Ija8%3D)\n\n**本次培训免费，学员无需缴纳任何费用。**常规任务班按4000元\u002F人、专题任务班按6000元\u002F人的标准由财政资金保障。培训以实践教学为主，常规培育不少于48学时，专题培育不少于72学时。\n\n报名工作已全面启动，欢迎有志于发展现代农业、推动乡村产业振兴的农民朋友踊跃参与，共同为建设农业强省、推进乡村全面振兴注入强劲人才动能！\n\n**报名方式**\n\n**1.关注“江西农业农村”微信公众号，点击“云上赣农”—“云上赣农-首页”，点击“高素质农民培育报名”**\n\n**2.向当地农业农村部门申报**\n\n**3.扫描下方二维码报名**\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002F07c082287ede4a0dacb67d8c3e852fb8~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1786838063&x-signature=bbqGa33q0zqddeYHbG5cMb2bdDo%3D)\n\n来源：江西农业农村","江西农业农村厅\u002F北极海新闻 2026-08-04","2026-08-04T00:00:00Z","政策",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":22},20,22,18,7,1,"江西省级高素质农民培育计划，含具体人数、培训内容与报名方式，信息详实，对农业人才发展有实质指导意义。",[24],{"name":10,"url":6},[26,27,28,29,30,31],"数字农业","智慧农业","高素质农民培育","江西","无人机飞手","乡村振兴人才",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":42,"reason":59},[39,46,53],{"code":40,"score":41,"supported":42,"title":43,"abstract":44,"tags":45},"I1",16,true,[27],[27,26],[26,27],{"code":47,"score":48,"supported":42,"title":49,"abstract":50,"tags":52},"E5",3,[],[51],"农产品电商",[],{"code":54,"score":48,"supported":42,"title":55,"abstract":56,"tags":58},"F5",[],[57],"农机",[],"多个产业证据相当，需要确认主归属",[61,62],"高素质农民培育 乡村振兴人才 无人机飞手 数字农业","高素质农民培育 乡村振兴人才","高素质农民培育乡村振兴人才无人机飞手数字农业-300",5,"2026-08-08T23:53:54.154253Z",{"total":67,"page":21,"page_size":67,"items":68},6,[69,134,207,289,336,393],{"id":70,"title":71,"url":72,"summary":73,"summary_zh":8,"content":8,"source_name":74,"source_url":8,"published_at":75,"category":76,"cover_url":8,"hotness":13,"is_selected":14,"score":77,"score_detail":78,"sources":83,"tags":85,"primary_topic":88,"secondary_topics":94,"classification":95,"search_phrases":118,"slug":121,"view_count":122,"doi":123,"paper":124,"created_at":133},5529,"数字农业技术采纳的驱动因素与障碍：基于复杂网络与演化博弈的分析","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1894648\u002Ffull","文章从演化博弈视角构建数字农业技术采纳的驱动与阻碍机制框架，系统梳理影响农户采纳数字农业技术的关键因素与障碍路径。研究强调通用大模型难以直接满足专业知识、结果依据与溯源能力要求，为政策设计提供了技术采纳侧的理论依据。","Frontiers in Sustainable Food Systems 2026-10-19","2026-10-19T00:00:00Z","论文",67,{"impact":79,"substance":19,"depth":41,"authority":80,"freshness":81,"relevant":21,"comment":82},12,13,8,"从演化博弈视角分析农户采纳数字农业技术的驱动与障碍，方法有新意、结论有政策参考价值，但属理论性论文，影响范围限于细分领域。",[84],{"name":74,"url":72},[26,27,86,87],"技术采纳","农户行为",{"code":89,"slug":90,"name":91,"path":92,"parent_code":93},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[],{"status":96,"locked":14,"version":35,"method":36,"evidence":97},"classified",{"candidates":98,"agricultural_evidence":42},[99,103,108,113],{"code":40,"score":80,"supported":42,"title":100,"abstract":101,"tags":102},[26],[26],[26,27],{"code":89,"score":48,"supported":42,"title":104,"abstract":105,"tags":107},[],[106],"大模型",[],{"code":109,"score":21,"supported":14,"title":110,"abstract":111,"tags":112},"G1",[],[],[86],{"code":114,"score":21,"supported":14,"title":115,"abstract":116,"tags":117},"G2",[],[],[87],[119,120],"数字农业 技术采纳 演化博弈","农户行为 技术采纳 数字农业 智慧农业","数字农业技术采纳演化博弈-5529",0,"10.3389\u002Ffsufs.2026.1894648\u002Ffull",{"doi":123,"openalex_id":8,"authors":125,"venue":8,"cited_by_count":122,"oa_url":8,"card":126,"direction":130,"ingested_from":132},[],{"tldr":127,"method":128,"finding":129,"direction":130,"opportunity":131},"构建演化博弈框架分析农户采纳数字农业技术的驱动因素与障碍路径。","演化博弈建模与复杂网络分析，梳理采纳影响因素。","通用大模型难以满足专业知识、结果依据与溯源要求，需政策引导。","数字乡村与农业信息化","可结合实证数据检验博弈模型，并探索面向溯源与专业知识的专用农业模型设计。","agent","2026-10-22T00:07:09.498742Z",{"id":135,"title":136,"url":137,"summary":138,"summary_zh":139,"content":8,"source_name":140,"source_url":137,"published_at":141,"category":76,"cover_url":8,"hotness":13,"is_selected":14,"score":142,"score_detail":143,"sources":146,"tags":148,"primary_topic":152,"secondary_topics":158,"classification":159,"search_phrases":185,"slug":188,"view_count":122,"doi":189,"paper":190,"created_at":206},5477,"Smart Digital Coffee Value Chain Transformation: A Scientific Implementation Manual for Kata Muduga Multipurpose Farmers Cooperatives Union, Oromia, Ethiopia Authors: Kedir Nefo Biftu, Kebede Hail, and Tadila Tadessa Qajela","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23488198","Smart Digital Coffee Value Chain Transformation: A Scientific Implementation Manual for Kata Muduga Multipurpose Farmers Cooperatives Union, Oromia, EthiopiaAuthors: Kedir Nefo Biftu, Kebede Hail, and Tadila Tadessa Qajela Publication year: 2026 Publication type: Scientific technical manual and five-year strategic implementation guide DescriptionThis 30-page scientific implementation manual provides a practical, evidence-based framework for transforming the coffee value chain of Kata Muduga Multipurpose Farmers Cooperatives Union in Jimma Zone, Oromia, Ethiopia. The manual translates institutional assessment findings, scientific knowledge, digital-system requirements, and value-chain management principles into operational procedures suitable for cooperative organizations and other agricultural value-chain institutions. The manual draws on the Union's institutional questionnaire completed on 7 October 2026 and relevant scientific publications on international, African, and Ethiopian coffee production, processing, traceability, sustainability, and cooperative development. Its integrated methodological structure consists of 18 end-to-end coffee value-chain components, nine value-creation and conversion points, three institutional levels, and eight stages of the Big Win delivery methodology. The institutional baseline includes 28,164 members, 61,270 hectares of coffee-growing land, 49,287 productive hectares, an annual production of 315,337 quintals, 62 washing and collection facilities, 5,127 GPS-mapped farms, and reported direct-export experience. The manual evaluates these existing institutional capacities and identifies priority gaps in farmer-level digital identification, planting-material genealogy, production information, product traceability, processing utilization, quality testing, environmental compliance, market contracts, payment verification, and coordinated performance management. It establishes differentiated responsibilities for three institutional levels: Core value-chain actors: Farmers, primary cooperatives, cooperative unions, processors, exporters, and buyers responsible for biological production, collection, processing, commercial transactions, and payment. Supporting institutions: Research centers, agricultural extension services, financial institutions, quality laboratories, logistics providers, and digital technology organizations responsible for specialized technical and operational services. Policy and enabling institutions: The Oromia Cooperative Promotion Commission, agricultural and trade bureaus, regulatory organizations, and regional and national governments responsible for governance, standards, policy coordination, and enabling infrastructure. The manual specifies practical Business Requirements (BR), Functional Requirements (FR), data ownership, information exposing and consuming relationships, interoperable digital identification, transaction records, quality assurance, institutional accountability, and measurable performance indicators. Recent international and African experiences are incorporated to identify transferable best practices in cooperative modernization, agricultural digitalization, specialty-coffee differentiation, sustainable production, traceability, and circular value creation. The proposed five-year implementation roadmap applies the Big Win methodology through Direction, Mini-Lab, Open Day, Roadmap, KPI\u002FKRI Development, Implementation, Verification, and Annual Performance Reporting. Implementation priorities include reliable farmer and farm registration, verified production data, digital collection receipts, coffee-lot genealogy, quality-preserving processing, transparent market contracts, buyer acceptance, producer-payment reconciliation, and feedback-driven corrective actions. The principal contribution of this manual is a structured and adaptable implementation model for converting agricultural production potential into traceable products, conserved quality, added commercial value, accepted market transactions, and realized producer benefits. The manual is designed for practical application by farmers, cooperatives, cooperative unions, researchers, government organizations, development partners, technology developers, exporters, and investors in Ethiopia, Africa, and other coffee-producing regions. It serves as an operational companion to the scientific case study and provides guidance for institutional capacity development, digital-system implementation, monitoring, evaluation, and replication of verified best practices. The five-year roadmap and performance targets represent proposed interventions requiring stakeholder approval, practical implementation, and independent validation. KeywordsSmart Digital Coffee Value Chain; Kata Muduga; Scientific Implementation Manual; Coffee Cooperatives; Jimma; Oromia; Ethiopia; Digital Agriculture; Value Creation; Value Conservation; Value Addition; Biological Efficiency; Economic Efficiency; Business Requirements; Functional Requirements; Institutional Dependency; Big Win Methodology; CAPA; Coffee Sustainability.","智能数字咖啡价值链转型：埃塞俄比亚奥罗米亚州Kata Muduga多用途农民合作社联盟科学实施手册\n\n作者：Kedir Nefo Biftu、Kebede Hail 和 Tadila Tadessa Qajela\n出版年份：2026年\n出版类型：科学技术手册与五年战略实施指南\n\n描述\n\n这本30页的科学实施手册为埃塞俄比亚奥罗米亚州吉马地区的Kata Muduga多用途农民合作社联盟的咖啡价值链转型提供了一个实用的、基于证据的框架。该手册将机构评估结果、科学知识、数字系统要求和价值链管理原则转化为适用于合作社组织及其他农业价值链机构的操作程序。该手册依据该联盟于2026年10月7日完成的机构问卷，以及有关国际、非洲和埃塞俄比亚咖啡生产、加工、可追溯性、可持续性和合作社发展的相关科学出版物。其综合方法结构由18个端到端咖啡价值链组成部分、九个价值创造与转化点、三个机构层级以及“大赢”（Big Win）交付方法的八个阶段组成。机构基线包括28，164名成员、61，270公顷咖啡种植土地、49，287公顷生产性土地、年产量315，337公担、62个水洗和收集设施、5，127个经GPS测绘的农场，以及已报告的直接出口经验。该手册评估了这些现有机构能力，并识别出农民层面数字身份识别、种植材料谱系、生产信息、产品可追溯性、加工利用率、质量检测、环境合规、市场合同、付款验证和协调绩效管理等方面的优先差距。该手册为三个机构层级确立了差异化责任：核心价值链参与者：负责生物生产、收集、加工、商业交易和付款的农民、初级合作社、合作社联盟、加工商、出口商和买家。支持性机构：负责专业技术和运营服务的研究中心、农业推广服务机构、金融机构、质量实验室、物流服务提供商和数字技术组织。政策与赋能机构：奥罗","Zenodo (CERN European Organization for Nuclear Research)","2026-10-20T00:00:00Z",79,{"impact":19,"substance":18,"depth":19,"authority":79,"freshness":144,"relevant":21,"comment":145},9,"该手册面向埃塞俄比亚咖啡合作社，提供数字化价值链实施框架，数据详实、方法结构清晰，对农业信息化有参考价值，但属区域性案例，影响范围有限。",[147],{"name":140,"url":137},[26,27,149,150,151],"咖啡产业链","农业合作社","产品溯源",{"code":153,"slug":154,"name":155,"path":156,"parent_code":157},"B3","tea-coffee","茶叶与咖啡","\u002Ftopic\u002Fhorticulture\u002Ftea-coffee","B",[],{"status":96,"locked":14,"version":35,"method":36,"evidence":160},{"candidates":161,"agricultural_evidence":42},[162,169,175,180],{"code":153,"score":163,"supported":42,"title":164,"abstract":166,"tags":168},14,[165],"coffee",[167,165],"咖啡",[],{"code":109,"score":67,"supported":42,"title":170,"abstract":171,"tags":174},[],[172,173],"农业推广","agricultural extension",[],{"code":40,"score":64,"supported":42,"title":176,"abstract":177,"tags":179},[],[178],"digital agriculture",[26,27],{"code":114,"score":48,"supported":42,"title":181,"abstract":182,"tags":184},[],[183],"农民合作社",[],[186,187],"Kata Muduga 咖啡 合作社","埃塞俄比亚 咖啡 数字价值链","KataMuduga咖啡合作社-5477","10.5281\u002Fzenodo.23488198",{"doi":189,"openalex_id":191,"authors":192,"venue":140,"cited_by_count":122,"oa_url":137,"card":199,"direction":204,"ingested_from":205},"W7223028195",[193,195,197],{"name":194,"orcid":8},"Kedir Biftu",{"name":196,"orcid":8},"Kebede Hailu",{"name":198,"orcid":8},"Tadila Tadessa Qajela",{"tldr":200,"method":201,"finding":202,"direction":130,"opportunity":203},"为埃塞俄比亚咖啡合作社联盟制定数字化价值链转型的科学实施手册。","基于机构问卷与文献，构建18个价值链环节、三级机构与八阶段交付方法。","识别出农户数字身份、溯源、质检与支付核验等优先数字化缺口。","可研究小农户合作社场景下低成本溯源与数字身份落地的效果评估。","智慧农业 \u002F 农业物联网","openalex","2026-10-21T23:30:08.879737Z",{"id":208,"title":209,"url":210,"summary":211,"summary_zh":212,"content":8,"source_name":140,"source_url":210,"published_at":141,"category":76,"cover_url":8,"hotness":13,"is_selected":14,"score":213,"score_detail":214,"sources":217,"tags":219,"primary_topic":223,"secondary_topics":229,"classification":230,"search_phrases":271,"slug":274,"view_count":122,"doi":275,"paper":276,"created_at":288},5476,"Digital Transformation of Haryana Agriculture: Strengthening Climate Resilience and Advancing the Sustainable Development Goals","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23491288","Climate change has surfaced as one of the most pivotal challenges confronting the agricultural sector, especially in agrarian regions vulnerable to resource degradation, water scarcity, and climate uncertainties. Haryana, a leading agricultural state in India, has faced significant environmental pressures in recent years, including declining groundwater levels, erratic rainfall patterns, rising temperatures, and soil degradation, necessitating the adoption of climate-resilient agricultural strategies. Against this backdrop, Information and Communication Technology has gained considerable importance as a transformative mechanism for strengthening agricultural sustainability, adaptive capacity, and informed decision-making among farmers. ICT-enabled interventions such as mobile-based advisory services, precision farming technologies, digital marketplaces, weather forecasting systems, remote sensing, and various e-governance platforms have increasingly contributed to improving agricultural efficiency and resilience. The present study aims to evaluate the role of ICT-enabled agricultural practices in Haryana and their contribution to climate resilience and to achieve the Sustainable Development Goals. This study applies a descriptive and analytical approach, drawing on secondary data and narrative review methodology. The study utilizes secondary data from government reports, policy documents, research articles, institutional publications, and international development reports on digital agriculture, climate change, and sustainable development, published between 2016 and 2026. The findings indicate that ICT-based agricultural innovations have substantially enhanced access to climate information, improved resource-use efficiency, increased market connectivity, and enabled adaptive agricultural management practices. Furthermore, ICT interventions have significant potential to support SDG 2: Zero Hunger, SDG 9: Industry, Innovation and Infrastructure, and SDG 13: Climate Action. However, challenges such as digital illiteracy, infrastructural disparities, limited technological accessibility among smallholders, and inadequate institutional support continue to hinder widespread adoption. The study emphasizes the need for inclusive digital policies, strengthened rural ICT infrastructure, farmer-centric skill development, and integrated climate-smart agricultural frameworks to facilitate sustainable, resilient agricultural development in Haryana.","气候变化已成为农业部门面临的最关键挑战之一，在易受资源退化、水资源短缺和气候不确定性影响的农业区域尤为如此。哈里亚纳邦是印度领先的农业邦，近年来面临显著的环境压力，包括地下水位下降、降雨模式不稳定、气温上升和土壤退化，因而亟需采取气候韧性农业策略。在此背景下，信息与通信技术（ICT）作为增强农业可持续性、适应能力以及农民知情决策的变革性机制，其重要性日益凸显。基于ICT的干预措施，如移动端咨询服务、精准农业技术、数字市场、天气预报系统、遥感以及各类电子治理平台，已日益为提升农业效率和韧性作出贡献。本研究旨在评估哈里亚纳邦基于ICT的农业实践所发挥的作用及其对气候韧性和实现可持续发展目标的贡献。本研究采用描述性与分析性方法，依托二手数据和叙述性综述方法。研究使用的二手数据来源于2016年至2026年间发布的政府报告、政策文件、研究论文、机构出版物以及关于数字农业、气候变化和可持续发展的国际发展报告。研究结果表明，基于ICT的农业创新大幅提升了气候信息的获取能力，改善了资源利用效率，增强了市场连通性，并促成了适应性农业管理实践。此外，ICT干预措施在支持可持续发展目标2：零饥饿、目标9：产业、创新和基础设施以及目标13：气候行动方面具有显著潜力。然而，数字文盲、基础设施差距、小农户技术可及性有限以及机构支持不足等挑战仍阻碍其广泛采用。研究强调，需要制定包容性数字政策、加强农村ICT基础设施、开展以农民为中心的技能培养以及构建综合气候智慧型农业框架，以促进哈里亚纳邦可持续且具有韧性的农业发展。",70,{"impact":41,"substance":19,"depth":215,"authority":79,"freshness":144,"relevant":21,"comment":216},15,"基于二手数据的综述性研究，系统梳理印度哈里亚纳邦ICT农业与气候韧性、SDGs的关系，结论可靠但方法新颖性一般，对国内智慧农业与气候适应有参考价值。",[218],{"name":140,"url":210},[26,27,220,221,222],"可持续发展","气候韧性","农业ICT",{"code":224,"slug":225,"name":226,"path":227,"parent_code":228},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":96,"locked":14,"version":35,"method":36,"evidence":231},{"candidates":232,"agricultural_evidence":42},[233,240,246,253,260,265],{"code":224,"score":19,"supported":42,"title":234,"abstract":236,"tags":239},[235],"climate resilience",[237,238,235],"气候变化","climate change",[221],{"code":40,"score":241,"supported":42,"title":242,"abstract":243,"tags":245},11,[],[244,26,178],"精准农业",[26,27],{"code":247,"score":67,"supported":42,"title":248,"abstract":249,"tags":252},"H2",[],[250,251],"土壤","soil",[],{"code":254,"score":67,"supported":42,"title":255,"abstract":256,"tags":259},"I3",[],[257,258],"遥感","remote sensing",[],{"code":114,"score":48,"supported":42,"title":261,"abstract":262,"tags":264},[],[263],"小农户",[],{"code":266,"score":48,"supported":42,"title":267,"abstract":268,"tags":270},"H3",[],[269],"水资源",[],[272,273],"Haryana 数字化转型","ICT 气候韧性","Haryana数字化转型-5476","10.5281\u002Fzenodo.23491288",{"doi":275,"openalex_id":277,"authors":278,"venue":140,"cited_by_count":122,"oa_url":210,"card":283,"direction":204,"ingested_from":205},"W7223011965",[279,281],{"name":280,"orcid":8},"Himani Rathi",{"name":282,"orcid":8},"Pardeep Kumar Duhan",{"tldr":284,"method":285,"finding":286,"direction":130,"opportunity":287},"评估印度哈里亚纳邦ICT农业实践对气候韧性与可持续发展目标的贡献。","描述性与分析性方法，基于2016-2026年政府报告等二手数据与叙事综述。","ICT显著提升气候信息获取、资源效率与市场连接，助力SDG 2\u002F9\u002F13，但数字素养与基础设施不足制","可研究小农户数字素养与ICT采纳门槛的实证机制，及包容性数字政策在气候智慧农业中的落地路径。","2026-10-21T23:30:08.814085Z",{"id":290,"title":291,"url":292,"summary":293,"summary_zh":8,"content":8,"source_name":294,"source_url":292,"published_at":75,"category":76,"cover_url":8,"hotness":295,"is_selected":14,"score":296,"score_detail":297,"sources":299,"tags":303,"primary_topic":306,"secondary_topics":310,"classification":311,"search_phrases":318,"slug":321,"view_count":122,"doi":322,"paper":323,"created_at":335},5396,"Understanding the Digital Agriculture Landscape in Central Africa: 2000-2026 Systematic Review.","https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.22601.71520","Understanding the Digital Agriculture Landscape in Central Africa: 2000-2026 Systematic Review.。OpenAlex","OpenAlex",25,37,{"impact":81,"substance":67,"depth":81,"authority":67,"freshness":144,"relevant":21,"comment":298},"中非数字农业系统综述，主题相关但摘要信息极少，仅题录级元数据，增量与权威性有限，不建议进入每日精选。",[300,301],{"name":294,"url":292},{"name":294,"url":302},"https:\u002F\u002Fdoi.org\u002F10.13140\u002Frg.2.2.16146.41922",[26,27,304,305],"农业信息化","中非",{"code":40,"slug":307,"name":308,"path":309,"parent_code":93},"smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture",[],{"status":96,"locked":14,"version":35,"method":36,"evidence":312},{"candidates":313,"agricultural_evidence":42},[314],{"code":40,"score":163,"supported":42,"title":315,"abstract":316,"tags":317},[178],[178],[304,26,27],[319,320],"中非 数字农业","农业信息化 数字农业 智慧农业 中非","中非数字农业-5396","10.13140\u002Frg.2.2.22601.71520",{"doi":322,"openalex_id":324,"authors":325,"venue":8,"cited_by_count":122,"oa_url":292,"card":8,"direction":130,"ingested_from":205},"W7222930115",[326,328,330,333],{"name":327,"orcid":8},"Anani Ogou",{"name":329,"orcid":8},"Henry Chotangui",{"name":331,"orcid":332},"Honoré Beyegue-Djonko","https:\u002F\u002Forcid.org\u002F0009-0004-6447-5889",{"name":334,"orcid":8},"Christopher Mubeteneh Tankou","2026-10-20T23:30:22.542913Z",{"id":337,"title":338,"url":339,"summary":340,"summary_zh":8,"content":8,"source_name":341,"source_url":8,"published_at":342,"category":76,"cover_url":8,"hotness":13,"is_selected":14,"score":343,"score_detail":344,"sources":347,"tags":349,"primary_topic":353,"secondary_topics":358,"classification":360,"search_phrases":381,"slug":384,"view_count":21,"doi":8,"paper":385,"created_at":392},5304,"Front. Sustain. Food Syst.:数字农业技术推广与贵州辣椒种植户极端气候适应技术采纳","https:\u002F\u002Fscienmag.com\u002Fdigital-agricultural-extension-linked-to-climate-adaptation-among-chili-farmers-in-mountainous-china","Gao H, Han H (2026) 在Frontiers in Sustainable Food Systems发表论文,以贵州辣椒种植户为研究对象,发现数字农业技术推广(DATP)对极端气候适应技术采纳呈显著正相关,通过更广泛信息渠道、信息信任和应用能力发挥作用,益处与风险预期确认起调节作用;数字信息素养较高种植户DATP效应更强(系数0.326、0.408 vs. 低素养0.084、0.133),规模化种植户效应同样更强。","Frontiers in Sustainable Food Systems(2026,Article 1914305)","2026-10-13T00:00:00Z",74,{"impact":41,"substance":345,"depth":19,"authority":80,"freshness":67,"relevant":21,"comment":346},21,"基于贵州辣椒种植户实证数据，揭示数字农业推广对气候适应技术采纳的调节机制，结论具体且具政策参考价值，值得入选。",[348],{"name":341,"url":339},[26,27,350,351,352],"数字素养","气候适应","辣椒种植",{"code":354,"slug":355,"name":356,"path":357,"parent_code":157},"B1","vegetables","蔬菜","\u002Ftopic\u002Fhorticulture\u002Fvegetables",[359],{"code":224,"slug":225,"name":226,"path":227,"parent_code":228},{"status":96,"locked":14,"version":35,"method":36,"evidence":361},{"candidates":362,"agricultural_evidence":42},[363,367,371,376],{"code":40,"score":80,"supported":42,"title":364,"abstract":365,"tags":366},[26],[26],[26,27],{"code":224,"score":79,"supported":42,"title":368,"abstract":369,"tags":370},[351],[351],[351],{"code":354,"score":241,"supported":42,"title":372,"abstract":374,"tags":375},[373],"辣椒",[373],[],{"code":377,"score":21,"supported":14,"title":378,"abstract":379,"tags":380},"I6",[],[],[350],[382,383],"贵州 辣椒种植户 数字农业技术推广","极端气候适应 技术采纳 数字素养","贵州辣椒种植户数字农业技术推广-5304",{"doi":8,"openalex_id":8,"authors":386,"venue":8,"cited_by_count":122,"oa_url":8,"card":387,"direction":130,"ingested_from":132},[],{"tldr":388,"method":389,"finding":390,"direction":130,"opportunity":391},"研究数字农业技术推广对贵州辣椒种植户采纳极端气候适应技术的影响。","基于贵州辣椒种植户调查数据，采用回归分析检验中介与调节效应。","数字农业技术推广显著促进适应技术采纳，信息渠道、信任与应用能力起中介作用，数字素养和规模起调节作用。","可探究数字推广服务对不同作物、不同气候区农户适应行为的差异化机制与长期效果。","2026-10-19T00:07:48.767992Z",{"id":394,"title":395,"url":396,"summary":397,"summary_zh":398,"content":8,"source_name":140,"source_url":396,"published_at":399,"category":76,"cover_url":8,"hotness":295,"is_selected":14,"score":400,"score_detail":401,"sources":403,"tags":408,"primary_topic":412,"secondary_topics":416,"classification":417,"search_phrases":438,"slug":441,"view_count":434,"doi":442,"paper":443,"created_at":454},5073,"INCREASING REGIONAL ADDED VALUE THROUGH THE PROCESSING OF AGRICULTURAL PRODUCTS IN THE REPUBLIC OF KARAKALPAKSTAN","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23383466","This article examines the economic and environmental significance of using digital innovations to develop green agriculture in the Republic of Karakalpakstan. It analyzes challenges related to water scarcity, soil salinity, production costs, and the efficiency of natural resource utilization. The article highlights the potential of digital monitoring, smart irrigation, remote sensing, and data-driven management to improve agricultural production outcomes.","本文探讨了在卡拉卡尔帕克斯坦共和国利用数字创新发展绿色农业的经济与环境意义。文章分析了与水资源短缺、土壤盐渍化、生产成本以及自然资源利用效率相关的挑战。文章强调了数字监测、智能灌溉、遥感以及数据驱动管理在改善农业生产成效方面的潜力。","2026-10-15T00:00:00Z",63,{"impact":79,"substance":41,"depth":163,"authority":79,"freshness":144,"relevant":21,"comment":402},"聚焦乌兹别克斯坦卡拉卡尔帕克斯坦地区数字农业与盐碱地治理，属区域案例研究，对国内智慧农业与盐碱地改良有参考价值，但影响层级与信息增量有限。",[404,405],{"name":140,"url":396},{"name":406,"url":407},"SAMARALI TA’LIM VA BARQAROR INNOVATSIYALAR JURNALI","https:\u002F\u002Finnovativepublication.uz\u002Findex.php\u002Fjelsi\u002Farticle\u002Fview\u002F6404",[26,27,409,410,411],"智能灌溉","盐碱地治理","遥感监测",{"code":266,"slug":413,"name":414,"path":415,"parent_code":228},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",[],{"status":96,"locked":14,"version":35,"method":36,"evidence":418},{"candidates":419,"agricultural_evidence":42},[420,425,429,433],{"code":266,"score":13,"supported":42,"title":421,"abstract":422,"tags":424},[],[423,269,413],"灌溉",[409],{"code":247,"score":20,"supported":42,"title":426,"abstract":427,"tags":428},[],[250,251],[410],{"code":254,"score":20,"supported":42,"title":430,"abstract":431,"tags":432},[],[257,258],[411],{"code":40,"score":434,"supported":14,"title":435,"abstract":436,"tags":437},2,[],[],[26,27],[439,440],"卡拉卡尔帕克斯坦 数字农业","咸海地区 盐碱地 智能灌溉","卡拉卡尔帕克斯坦数字农业-5073","10.5281\u002Fzenodo.23383466",{"doi":442,"openalex_id":444,"authors":445,"venue":140,"cited_by_count":122,"oa_url":396,"card":448,"direction":204,"ingested_from":205},"W7221970206",[446],{"name":447,"orcid":8},"Sholpan Eshimova",{"tldr":449,"method":450,"finding":451,"direction":452,"opportunity":453},"研究卡拉卡尔帕克斯坦通过农产品加工与数字创新提升区域附加值。","分析水资源短缺、土壤盐渍化等挑战，评估数字监测、智能灌溉、遥感和数据管理潜力。","数字创新可提高农业生产效率并促进绿色农业发展。","农业绿色发展与碳","可量化数字技术对盐碱地农业附加值及资源效率的贡献，探索适配干旱区的智慧农业模式。","2026-10-16T23:30:07.817464Z"]