[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4003":3,"related-4003":100},{"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":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":72,"slug":75,"view_count":76,"doi":77,"paper":78,"created_at":99},4003,"Does rural digitalization improve food production security? Evidence from China’s digital village construction policy","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1914989","Introduction Food production security (FPS) remains a core challenge for developing economies. Although rural digitalization serves as a fundamental strategy to reshape agricultural systems in developing countries, its impact on food supply resilience remains underexplored. Methods This study investigates the impact of rural digitalization on regional FPS by exploiting China’s Digital Village Construction policy as a quasi-natural experiment. We employ the DID model on a panel dataset comprising 334 prefecture-level cities from 2015 to 2024. Results The empirical results demonstrate that rural digitalization significantly improves regional FPS. Specifically, the digital intervention increases the FPS of treated cities by an average of 8.2 percent. Regarding the mechanisms, we find that rural digitalization enhances FPS by facilitating smallholders’ food production viability and promoting food-oriented land reallocation. Furthermore, heterogeneity analyses reveal that the impact is more pronounced in regions equipped with superior agricultural socialized services, advanced agricultural industry structures, and major food producing area designations. Discussion These findings demonstrate that comprehensive rural digitalization strengthens the resilience of food production systems in developing economies and offer guidance for other Global South countries pursuing similar rural development paradigms.","引言 粮食生产安全（Food Production Security, FPS）仍是发展中经济体面临的核心挑战。尽管乡村数字化是发展中国家重塑农业体系的基础性战略，但其对粮食供给韧性的影响仍缺乏深入探讨。方法 本研究以中国数字乡村建设政策作为准自然实验，考察乡村数字化对区域粮食生产安全的影响。我们基于2015年至2024年334个地级市的面板数据集，采用双重差分（DID）模型进行实证分析。结果 实证结果表明，乡村数字化显著提升了区域粮食生产安全。具体而言，数字干预使处理组城市的粮食生产安全平均提高8.2%。在机制方面，我们发现乡村数字化通过促进小农户的粮食生产可行性和推动粮食导向的土地再配置来增强粮食生产安全。此外，异质性分析显示，在农业社会化服务较优、农业产业结构较先进以及被划定为粮食主产区的地区，该影响更为显著。讨论 这些发现表明，全面的乡村数字化增强了发展中经济体粮食生产体系的韧性，并为其他全球南方国家追求类似乡村发展范式提供了借鉴。",null,"Frontiers in Sustainable Food Systems","2026-10-01T00:00:00Z","论文",10,false,86,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},24,22,18,13,9,1,"基于中国数字乡村政策准自然实验，用DID方法量化农村数字化对粮食生产安全的提升效应，数据规模大、结论可靠，对数字乡村与粮食安全主题有较高参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"数字乡村","粮食安全","发展中国家","农业社会化服务","准自然实验",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,52,60,67],{"code":33,"score":46,"supported":47,"title":48,"abstract":50,"tags":51},15,true,[49],"digital village",[27,49],[27],{"code":53,"score":54,"supported":47,"title":55,"abstract":56,"tags":59},"G2",7,[],[57,58],"社会化服务","小农户",[30],{"code":61,"score":62,"supported":47,"title":63,"abstract":64,"tags":66},"G",3,[],[65],"rural development",[],{"code":68,"score":22,"supported":14,"title":69,"abstract":70,"tags":71},"A8",[],[],[28],[73,74],"数字乡村建设 粮食生产安全","农村数字化 粮食安全","数字乡村建设粮食生产安全-4003",2,"10.3389\u002Ffsufs.2026.1914989",{"doi":77,"openalex_id":79,"authors":80,"venue":10,"cited_by_count":91,"oa_url":6,"card":92,"direction":96,"ingested_from":98},"W7215123040",[81,84,86,89],{"name":82,"orcid":83},"Meng Zhao","https:\u002F\u002Forcid.org\u002F0000-0003-2049-9147",{"name":85,"orcid":9},"Jianhua Wang",{"name":87,"orcid":88},"Jiaqing Zhang","https:\u002F\u002Forcid.org\u002F0000-0003-4702-9495",{"name":90,"orcid":9},"Zixuan Ai",0,{"tldr":93,"method":94,"finding":95,"direction":96,"opportunity":97},"以中国数字乡村建设政策为准自然实验，评估农村数字化对区域粮食生产安全的影响。","基于334个地级市2015—2024年面板数据，采用双重差分（DID）模型。","农村数字化使处理组城市粮食生产安全平均提升8.2%，通过小农户生产可行性与耕地再配置实现。","数字乡村与农业信息化","可探究数字乡村政策对粮食安全的长期动态效应及社会化服务、产业结构的门槛机制。","openalex","2026-10-02T23:30:10.524948Z",{"total":101,"page":22,"page_size":101,"items":102},6,[103,203,251,299,358,422],{"id":104,"title":105,"url":106,"summary":107,"summary_zh":9,"content":108,"source_name":109,"source_url":9,"published_at":110,"category":111,"cover_url":9,"hotness":13,"is_selected":47,"score":112,"score_detail":113,"sources":117,"tags":119,"primary_topic":123,"secondary_topics":127,"classification":129,"search_phrases":198,"slug":201,"view_count":148,"doi":9,"paper":9,"created_at":202},3289,"专家解读：乘数而上向智而行——大力发展智慧农业 加快建设数字乡村 智慧农业与小农户有机衔接","https:\u002F\u002Fwww.thepaper.cn\u002FnewsDetail_forward_34116699","专家解读文章指出：近年来农机北斗终端实现快速规模化推广，截至2025年底累计推广超350万台套。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供菜单式服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户点单即享的标准化服务。十五五时期是基本实现农业农村现代化的关键时期，《加快农业农村现代化十五五规划》明确要推进人工智能运用和智慧农业发展；农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地。","习近平总书记高度重视数字乡村建设和智慧农业发展，作出重要指示强调，“瞄准农业现代化主攻方向，提高农业生产智能化、经营网络化水平，帮助广大农民增加收入”“要用好现代信息技术，创新乡村治理方式，提高乡村善治水平”。2019年，中共中央办公厅、国务院办公厅印发了《数字乡村发展战略纲要》。此后，中央一号文件连续八年对推进数字乡村和智慧农业作出重要部署。各地区各有关部门持续推进数字技术与农业生产、乡村生活日益融合，数字乡村建设和智慧农业发展取得重要阶段性成效。近日，国家互联网信息办公室、农业农村部联合发布《中国数字乡村发展报告（2019—2025年）》（以下简称《报告》），系统总结了七年来我国数字乡村发展的成就和经验。《报告》立足新形势新要求，展示了以信息基础设施为底座、数据资源体系为核心、智慧农业与乡村数字经济为重点、数字文化与数字治理为支撑、信息服务与智慧美丽乡村为拓展、政策机制与人才队伍为保障的体系化发展路径。该《报告》不仅为全面了解发展成效、科学谋划“十五五”数字乡村发展蓝图提供了重要参考，也积极回应各方关切，向国际社会展示了我国借助数字技术推动农业与乡村治理数智化转型的经验。回顾七年历程，智慧农业作为数字乡村建设的重要内容，已由试点探索转向快速起步、由点状突破迈向系统推进，正乘“数”而上，向“智”而行，为推进农业农村现代化提供有力支撑。\n\n一、智慧农业正从“盆景”走向“风景”\n\n数字乡村涵盖乡村经济、治理、文化、服务等多个维度，内涵丰富。《报告》提出，智慧农业是“农业新质生产力的重要内容，是乡村产业数字化的关键着力点”。智慧农业为数字乡村高质量发展提供了坚实的产业支撑，成为推动数字乡村发展的关键动能。《报告》显示，七年的探索推进和快速发展，推动智慧农业实现了“四个跨越”。\n\n第一，智慧农业基础设施实现从“基础覆盖”到“深化赋能”的跨越。完善的网络基础设施为智慧农业在田间地头、池塘圈舍的落地拓展提供了基础支撑。截至2025年底，农村地区互联网普及率达69.5%，较2018年底提升31.1个百分点。传统基础设施数字化为智慧农业提供了更加坚实的硬件底座和场景支撑，农村水利、农田、电网、公路及寄递物流等持续升级完善。农业数据资源日益丰富，为智慧农业落地应用提供了基础资源和创新引擎，“天空地一体化”监测网络等新型基础设施加快建设，全国农产品批发市场价格信息等涉农数据开发利用不断深入。\n\n第二，关键技术装备实现从“基础”到“核心”的跨越。智能农机装备研发应用取得重要进展，新一代信息技术与农业装备深度融合，正推动农业生产方式从“靠天吃饭”向“知天而作”加速转变。产学研用相衔接的智慧农业创新体系加快形成，支撑取得一批关键智慧农业技术装备创新成果。《报告》显示，截至2025年底，累计建设智慧农业创新中心、分中心34个，智慧农业创新应用项目116个，104项关键智慧农业技术和62项整机智能装备研发取得突破。智慧农业技术装备质量管控更加严格、应用推广不断拓展，布局建设国家农机装备产业计量测试中心，强化农机装备产业计算测试技术研究与应用。\n\n第三，主要产业数字化实现从“单点试验”到“面上推广”的跨越。大田种植领域，天空地一体化农情感知与数据驱动模式初步构建，实现水稻、小麦、玉米苗情长势动态监测。截至2025年底，累计推广应用各类农机北斗终端超350万台套，农用无人机保有量超过30万架、年作业面积突破4.6亿亩。智能农机共享租赁加速普及。畜禽养殖领域，精准饲喂、环境控制、行为分析等智能技术广泛应用于生猪养殖和家禽立体高效养殖中。全国659个动物防疫通道纳入信息化管理，动物检疫监督更加智能化、便捷化和高效化。渔业领域，数字技术持续赋能多元化养殖模式，智能化网箱设备、投料机器人等智能装备加速迭代，海洋养殖智能化水平不断提升。\n\n第四，粮食安全保障实现从“人工管控”到“数智赋能”的跨越。粮食安全是“国之大者”，数智技术正在为其构筑起坚实保障。在耕地保护方面，“三区三线”等“一张图”相关基础数据库进一步完善，让“藏粮于地”有了更坚实的数据底座，助力守牢18亿亩耕地红线。在种业振兴方面，中国种业大数据平台建成运行，全国农作物种质资源信息平台已上线58.8万份国家级库圃种质资源信息，为育种创新提供了坚实的资源基础。在防灾减损领域，气象预警信息全面接入全国123万个应急广播终端并在16个省份386个市县试行开展“闪信”技术应用，以气象预警为先导的应急响应联动机制更加健全。在仓储方面，借助数字化仓储技术，粮库储粮周期内综合损耗率控制在1%以内，支撑节粮减损效果明显。从种到收、从田间到粮仓，数智技术正在全链条赋能国家粮食安全保障体系。\n\n二、智慧农业发展需要坚定走好符合国情农情的路子\n\n七年来，在信息革命加速农业深刻变革的进程中，智慧农业加快发展、数字乡村建设深入推进，推动农业成为更有奔头的产业、农村成为更加宜居宜业的家园，为网络强国、农业强国建设贡献了重要力量。回顾七年实践，我们进一步深化了对智慧农业发展的规律性认识。\n\n一是政府引导与市场机制协同发力。党中央、国务院印发的《加快建设农业强国规划（2024—2035年）》、农业农村部印发的《关于大力发展智慧农业的指导意见》《全国智慧农业行动计划（2024—2028年）》等文件构建了智慧农业“四梁八柱”。七年来，从智慧农业创新中心布局到创新应用项目建设实施，从主推技术遴选、典型案例推介到智慧农业创新大赛，政府的“有形之手”在搭建平台、降低门槛、推动产业化等方面发挥了重要作用。同时，平台经济等推动拓展创业空间，返乡青年、家庭农场、农民合作社和农村个体商户以平台化方式进入市场、链接消费和重构经营模式，农村电商、数字服务等新业态加速发展，市场的“无形之手”进一步增强了智慧农业发展的动力活力。\n\n二是技术创新与农情农艺深度结合。农业不同于工业、农村不同于城市，发展智慧农业、建设数字乡村必须坚持问题导向、应用导向，走适宜化、低成本、易操作的技术路线。近年来，农机北斗终端实现快速规模化推广，在于其有效契合了播种、收获等关键环节的实际生产需求，让农民“用得上、用得起、用得好”。\n\n三是智慧农业与小农户有机衔接。“大国小农”的基本国情农情决定了智慧农业要实现大规模落地应用，必须坚持让小农户共享数字红利的现实路径。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供“菜单式”服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户“点单即享”的标准化服务，有效破解小农户“买不起、用不好”的难题。以社会化服务为纽带，智慧农业正成为促进小农户与现代农业发展有机衔接的重要手段。\n\n三、奋力推进“十五五”时期智慧农业建设\n\n“十五五”时期是基本实现农业农村现代化的关键时期。展望未来五年，数字乡村将加快迈向数智乡村，智慧农业建设将进入创新发展、落地见效的关键阶段。《加快农业农村现代化“十五五”规划》明确，要“推进人工智能运用和智慧农业发展”。这要求我们既要总结运用好实践中积累形成的宝贵经验，又要准确把握未来数智技术和农业发展新趋势。\n\n当前，人工智能等数智技术加速演进，深刻重塑农业发展的底层逻辑，为智慧农业发展带来了前所未有的新机遇。一是数据产业加快培育，释放要素价值潜能。数据从支撑农业农村发展的辅助性工具，逐步发展为具有独立价值、可市场化运营的新型生产要素，其基础资源和创新引擎作用日渐显现，数智技术加速内化成为农业农村领域的发展动能，要抓实数据这个根本，进一步加快“统筹部署农业农村数据基础设施”“发展农业农村领域数据产业”。二是应用场景全链拓展，场景驱动成为重要引擎。农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地，场景驱动技术迭代的效能日益凸显，要打造丰富多样的应用场景，“加快农业人工智能应用场景拓展”。三是新兴产业加快培育，拓展农业发展新空间。智能设计育种、新能源农机、农业低空经济等先导性产业规模化发展，开辟智慧农业高质量发展全新赛道，要从智能育种等产业急需领域做起，加快“培育发展乡村新产业新业态”。\n\n《报告》的发布既是阶段性总结，更是新征程的动员。面向“十五五”，我们要坚决贯彻党中央、国务院关于大力推进“人工智能+”农业的部署要求，在基础设施上强基固本，在关键技术装备上聚力攻坚，在产业数智化上扩面提效，在粮食安全保障上筑牢数字防线，加快推动智慧农业从“点上突破”迈向“面上成势”，从“量的积累”转向“质的跃升”。以智慧农业的创新发展，推动数字乡村高质量发展，为加快农业农村现代化、扎实推进乡村全面振兴注入更加澎湃的数智动能。\n\n作者：李韶民 农业农村部信息中心副主任\n\n原标题：《专家解读｜乘“数”而上 向“智”而行——大力发展智慧农业 加快建设数字乡村》\n\n[阅读原文](https:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg2ODA4MDIwNg==&mid=2247812104&idx=2&sn=0d26f89082d00b4df0d545a746ae8920&chksm=cf86c6565a4df065b13c07ba7a865f15b705b1f5daea9595cb732f4e76ca7a07f6080524f4d7&scene=7)","澎湃新闻 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向'智'而行——《中国数字乡村发展报告(2019—2025年)》发布","https:\u002F\u002Fwww.ztnews.net\u002Farticle\u002Fshow-496095.html","国家互联网信息办公室、农业农村部联合发布《中国数字乡村发展报告(2019—2025年)》。报告指出,七年来,智慧农业实现了'四个跨越',从'基础覆盖'到'深化赋能',从'试点探索'到'快速起步',从'点状突破'到'系统推进',从'盆景'走向'风景'。截至2025年底,农村地区互联网普及率达69.5%,较2018年底提升31.1个百分点。报告全面展示我国借助数字技术推动农业与乡村治理数智化转型的经验。","![Image 1](https:\u002F\u002Fwww.ztnews.net\u002FnewsImage\u002F202510\u002F507474e9510ac7c2.jpg)\n\n![Image 2](https:\u002F\u002Fwww.ztnews.net\u002FnewsImage\u002F202609\u002F28c83f013022f584.jpg)\n\n![Image 3](https:\u002F\u002Fwww.ztnews.net\u002FnewsImage\u002F202610\u002Ff0a75ae49ce17c47.gif)\n\n习近平总书记高度重视数字乡村建设和智慧农业发展，作出重要指示强调，“瞄准农业现代化主攻方向，提高农业生产智能化、经营网络化水平，帮助广大农民增加收入”“要用好现代信息技术，创新乡村治理方式，提高乡村善治水平”。2019年，中共中央办公厅、国务院办公厅印发了《数字乡村发展战略纲要》。此后，中央一号文件连续八年对推进数字乡村和智慧农业作出重要部署。各地区各有关部门持续推进数字技术与农业生产、乡村生活日益融合，数字乡村建设和智慧农业发展取得重要阶段性成效。近日，国家互联网信息办公室、农业农村部联合发布《中国数字乡村发展报告（2019—2025年）》（以下简称《报告》），系统总结了七年来我国数字乡村发展的成就和经验。《报告》立足新形势新要求，展示了以信息基础设施为底座、数据资源体系为核心、智慧农业与乡村数字经济为重点、数字文化与数字治理为支撑、信息服务与智慧美丽乡村为拓展、政策机制与人才队伍为保障的体系化发展路径。该《报告》不仅为全面了解发展成效、科学谋划“十五五”数字乡村发展蓝图提供了重要参考，也积极回应各方关切，向国际社会展示了我国借助数字技术推动农业与乡村治理数智化转型的经验。回顾七年历程，智慧农业作为数字乡村建设的重要内容，已由试点探索转向快速起步、由点状突破迈向系统推进，正乘“数”而上，向“智”而行，为推进农业农村现代化提供有力支撑。\n\n一、智慧农业正从“盆景”走向“风景”\n\n数字乡村涵盖乡村经济、治理、文化、服务等多个维度，内涵丰富。《报告》提出，智慧农业是“农业新质生产力的重要内容，是乡村产业数字化的关键着力点”。智慧农业为数字乡村高质量发展提供了坚实的产业支撑，成为推动数字乡村发展的关键动能。《报告》显示，七年的探索推进和快速发展，推动智慧农业实现了“四个跨越”。\n\n第一，智慧农业基础设施实现从“基础覆盖”到“深化赋能”的跨越。完善的网络基础设施为智慧农业在田间地头、池塘圈舍的落地拓展提供了基础支撑。截至2025年底，农村地区互联网普及率达69.5%，较2018年底提升31.1个百分点。传统基础设施数字化为智慧农业提供了更加坚实的硬件底座和场景支撑，农村水利、农田、电网、公路及寄递物流等持续升级完善。农业数据资源日益丰富，为智慧农业落地应用提供了基础资源和创新引擎，“天空地一体化”监测网络等新型基础设施加快建设，全国农产品批发市场价格信息等涉农数据开发利用不断深入。\n\n第二，关键技术装备实现从“基础”到“核心”的跨越。智能农机装备研发应用取得重要进展，新一代信息技术与农业装备深度融合，正推动农业生产方式从“靠天吃饭”向“知天而作”加速转变。产学研用相衔接的智慧农业创新体系加快形成，支撑取得一批关键智慧农业技术装备创新成果。《报告》显示，截至2025年底，累计建设智慧农业创新中心、分中心34个，智慧农业创新应用项目116个，104项关键智慧农业技术和62项整机智能装备研发取得突破。智慧农业技术装备质量管控更加严格、应用推广不断拓展，布局建设国家农机装备产业计量测试中心，强化农机装备产业计算测试技术研究与应用。\n\n第三，主要产业数字化实现从“单点试验”到“面上推广”的跨越。大田种植领域，天空地一体化农情感知与数据驱动模式初步构建，实现水稻、小麦、玉米苗情长势动态监测。截至2025年底，累计推广应用各类农机北斗终端超350万台套，农用无人机保有量超过30万架、年作业面积突破4.6亿亩。智能农机共享租赁加速普及。畜禽养殖领域，精准饲喂、环境控制、行为分析等智能技术广泛应用于生猪养殖和家禽立体高效养殖中。全国659个动物防疫通道纳入信息化管理，动物检疫监督更加智能化、便捷化和高效化。渔业领域，数字技术持续赋能多元化养殖模式，智能化网箱设备、投料机器人等智能装备加速迭代，海洋养殖智能化水平不断提升。\n\n第四，粮食安全保障实现从“人工管控”到“数智赋能”的跨越。粮食安全是“国之大者”，数智技术正在为其构筑起坚实保障。在耕地保护方面，“三区三线”等“一张图”相关基础数据库进一步完善，让“藏粮于地”有了更坚实的数据底座，助力守牢18亿亩耕地红线。在种业振兴方面，中国种业大数据平台建成运行，全国农作物种质资源信息平台已上线58.8万份国家级库圃种质资源信息，为育种创新提供了坚实的资源基础。在防灾减损领域，气象预警信息全面接入全国123万个应急广播终端并在16个省份386个市县试行开展“闪信”技术应用，以气象预警为先导的应急响应联动机制更加健全。在仓储方面，借助数字化仓储技术，粮库储粮周期内综合损耗率控制在1%以内，支撑节粮减损效果明显。从种到收、从田间到粮仓，数智技术正在全链条赋能国家粮食安全保障体系。\n\n二、智慧农业发展需要坚定走好符合国情农情的路子\n\n七年来，在信息革命加速农业深刻变革的进程中，智慧农业加快发展、数字乡村建设深入推进，推动农业成为更有奔头的产业、农村成为更加宜居宜业的家园，为网络强国、农业强国建设贡献了重要力量。回顾七年实践，我们进一步深化了对智慧农业发展的规律性认识。\n\n一是政府引导与市场机制协同发力。党中央、国务院印发的《加快建设农业强国规划（2024—2035年）》、农业农村部印发的《关于大力发展智慧农业的指导意见》《全国智慧农业行动计划（2024—2028年）》等文件构建了智慧农业“四梁八柱”。七年来，从智慧农业创新中心布局到创新应用项目建设实施，从主推技术遴选、典型案例推介到智慧农业创新大赛，政府的“有形之手”在搭建平台、降低门槛、推动产业化等方面发挥了重要作用。同时，平台经济等推动拓展创业空间，返乡青年、家庭农场、农民合作社和农村个体商户以平台化方式进入市场、链接消费和重构经营模式，农村电商、数字服务等新业态加速发展，市场的“无形之手”进一步增强了智慧农业发展的动力活力。\n\n二是技术创新与农情农艺深度结合。农业不同于工业、农村不同于城市，发展智慧农业、建设数字乡村必须坚持问题导向、应用导向，走适宜化、低成本、易操作的技术路线。近年来，农机北斗终端实现快速规模化推广，在于其有效契合了播种、收获等关键环节的实际生产需求，让农民“用得上、用得起、用得好”。\n\n三是智慧农业与小农户有机衔接。“大国小农”的基本国情农情决定了智慧农业要实现大规模落地应用，必须坚持让小农户共享数字红利的现实路径。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供“菜单式”服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户“点单即享”的标准化服务，有效破解小农户“买不起、用不好”的难题。以社会化服务为纽带，智慧农业正成为促进小农户与现代农业发展有机衔接的重要手段。\n\n三、奋力推进“十五五”时期智慧农业建设\n\n“十五五”时期是基本实现农业农村现代化的关键时期。展望未来五年，数字乡村将加快迈向数智乡村，智慧农业建设将进入创新发展、落地见效的关键阶段。《加快农业农村现代化“十五五”规划》明确，要“推进人工智能运用和智慧农业发展”。这要求我们既要总结运用好实践中积累形成的宝贵经验，又要准确把握未来数智技术和农业发展新趋势。\n\n当前，人工智能等数智技术加速演进，深刻重塑农业发展的底层逻辑，为智慧农业发展带来了前所未有的新机遇。一是数据产业加快培育，释放要素价值潜能。数据从支撑农业农村发展的辅助性工具，逐步发展为具有独立价值、可市场化运营的新型生产要素，其基础资源和创新引擎作用日渐显现，数智技术加速内化成为农业农村领域的发展动能，要抓实数据这个根本，进一步加快“统筹部署农业农村数据基础设施”“发展农业农村领域数据产业”。二是应用场景全链拓展，场景驱动成为重要引擎。农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地，场景驱动技术迭代的效能日益凸显，要打造丰富多样的应用场景，“加快农业人工智能应用场景拓展”。三是新兴产业加快培育，拓展农业发展新空间。智能设计育种、新能源农机、农业低空经济等先导性产业规模化发展，开辟智慧农业高质量发展全新赛道，要从智能育种等产业急需领域做起，加快“培育发展乡村新产业新业态”。\n\n《报告》的发布既是阶段性总结，更是新征程的动员。面向“十五五”，我们要坚决贯彻党中央、国务院关于大力推进“人工智能+”农业的部署要求，在基础设施上强基固本，在关键技术装备上聚力攻坚，在产业数智化上扩面提效，在粮食安全保障上筑牢数字防线，加快推动智慧农业从“点上突破”迈向“面上成势”，从“量的积累”转向“质的跃升”。以智慧农业的创新发展，推动数字乡村高质量发展，为加快农业农村现代化、扎实推进乡村全面振兴注入更加澎湃的数智动能。（作者：李韶民农业农村部信息中心副主任）\n\n* * *\n\n来源：中国网信网\n\n![Image 4](https:\u002F\u002Fwww.ztnews.net\u002FnewsImage\u002F202609\u002F0946bb54de14ff91.jpg)\n\n![Image 5](https:\u002F\u002Fwww.ztnews.net\u002FnewsImage\u002F202610\u002Fe74b87da1aae8515.gif)\n\n![Image 6](https:\u002F\u002Fwww.ztnews.net\u002FnewsImage\u002F202411\u002F5630c109c52e879c.jpg)","昭通新闻网 2026 年 10 月 14 日","2026-10-14T00:00:00Z",91,{"impact":114,"substance":261,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":262},23,"国家网信办与农业农村部联合发布的七年期权威报告解读，含农村互联网普及率69.5%、农机北斗终端350万台套等系统数据，政策与产业价值突出，值得进入每日精选。",[264],{"name":257,"url":254},[27,120,121,28,266],"农业农村数据",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":270},{"candidates":271,"agricultural_evidence":47},[272,276,280,286,290],{"code":33,"score":138,"supported":47,"title":273,"abstract":274,"tags":275},[27],[27],[27],{"code":137,"score":148,"supported":47,"title":277,"abstract":278,"tags":279},[],[120],[120],{"code":281,"score":62,"supported":47,"title":282,"abstract":283,"tags":285},"G5",[],[284],"乡村治理",[],{"code":68,"score":22,"supported":14,"title":287,"abstract":288,"tags":289},[],[],[28],{"code":147,"score":22,"supported":14,"title":291,"abstract":292,"tags":293},[],[],[121],[295,296],"中国数字乡村发展报告 2019—2025","国家互联网信息办公室 农业农村部 数字乡村","中国数字乡村发展报告2019—2025-4928","2026-10-15T00:05:53.301569Z",{"id":300,"title":301,"url":302,"summary":303,"summary_zh":9,"content":9,"source_name":304,"source_url":9,"published_at":305,"category":12,"cover_url":9,"hotness":306,"is_selected":14,"score":210,"score_detail":307,"sources":309,"tags":313,"primary_topic":317,"secondary_topics":318,"classification":319,"search_phrases":334,"slug":337,"view_count":76,"doi":338,"paper":339,"created_at":357},4406,"Extreme Temperature, Digital Rural Development, and Grain Production Resilience in the Yellow River Basin","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1912640\u002Ffull","王、于、杨、张基于 2013-2022 年黄河流域 9 省面板数据,构建包含抵抗力、恢复力、转型力的粮食生产韧性指数,实施双向固定效应模型、稳健性检验、内生性检验、异质性分析与调节效应模型;研究发现极端温度事件对粮食生产韧性具有显著负向影响,在非粮食主产区和农业低消费地区负相关性更明显;数字乡村发展在极端温度事件与粮食生产韧性之间发挥正向调节作用。","Frontiers in Sustainable Food Systems 2026-10-05 接受","2026-10-05T00:00:00Z",25,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":308},"基于黄河流域9省十年面板数据的实证研究，方法规范、结论明确，对数字乡村应对气候风险的决策有参考价值。",[310,311],{"name":304,"url":302},{"name":10,"url":312},"https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1912640",[27,28,314,315,316],"农业韧性","黄河流域","极端气候",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":320},{"candidates":321,"agricultural_evidence":47},[322,326,330],{"code":61,"score":212,"supported":47,"title":323,"abstract":324,"tags":325},[65],[],[],{"code":33,"score":148,"supported":47,"title":327,"abstract":328,"tags":329},[],[27],[27],{"code":68,"score":22,"supported":14,"title":331,"abstract":332,"tags":333},[],[],[28],[335,336],"黄河流域 粮食生产韧性 数字乡村","极端温度 粮食韧性 调节效应","黄河流域粮食生产韧性数字乡村-4406","10.3389\u002Ffsufs.2026.1912640\u002Ffull",{"doi":338,"openalex_id":340,"authors":341,"venue":10,"cited_by_count":91,"oa_url":312,"card":351,"direction":355,"ingested_from":98},"W7222684710",[342,345,347,349],{"name":343,"orcid":344},"Wenwen Wang","https:\u002F\u002Forcid.org\u002F0000-0003-1547-5714",{"name":346,"orcid":9},"Yanru Yu",{"name":348,"orcid":9},"Yuanyi Yang",{"name":350,"orcid":9},"Yanwei Zhang",{"tldr":352,"method":353,"finding":354,"direction":355,"opportunity":356},"基于黄河流域9省面板数据，研究极端温度对粮食生产韧性的影响及数字乡村的调节作用。","2013-2022年黄河流域9省面板数据，双向固定效应模型与调节效应模型。","极端温度显著降低粮食生产韧性，非主产区更明显；数字乡村发展起正向调节作用。","农业绿色发展与碳","可探究数字乡村通过哪些具体路径（如信息获取、保险、技术采纳）缓解极端温度对粮食韧性的冲击。","2026-10-08T00:07:47.198797Z",{"id":359,"title":360,"url":361,"summary":362,"summary_zh":9,"content":9,"source_name":363,"source_url":9,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":47,"score":364,"score_detail":365,"sources":368,"tags":370,"primary_topic":374,"secondary_topics":379,"classification":387,"search_phrases":410,"slug":413,"view_count":148,"doi":9,"paper":414,"created_at":421},4194,"数字乡村建设的代价？数字乡村战略对粮食安全和农业碳循环的非对称影响——来自中国的证据","https:\u002F\u002Fideas.repec.org\u002Fa\u002Fspr\u002Fagfoec\u002Fv14y2026i1d10.1186_s40100-026-00503-9.html","Weilong Gao、Qian Zhang、Ying Peng（吉林大学国家发展与安全研究院、大连理工大学商学院、长春工业大学经济管理学院）。发表于Agricultural and Food Economics 2026, 14(1): 1-22。基于989个县和1835户农户的多层次数据，将县级数字乡村发展指数与家庭层面数字采纳指数链接，运用固定效应和两阶段最小二乘法模型。结果显示：农村数字化与粮食产量显著正相关，与农业碳排放显著负相关，但对作物生物量碳吸收或净碳足迹无显著改善。机制分析表明生产收益与土地利用集约化（特别是双季种植扩张）相关，减排与减少劳动力和农药使用一致。异质性分析显示数字基础设施驱动生产率增长，数字治理和数字生活与减排关联更密切。","Agricultural and Food Economics 2026, 14(1)",88,{"impact":18,"substance":17,"depth":366,"authority":115,"freshness":21,"relevant":22,"comment":367},19,"基于989县1835户的全国性实证研究，揭示数字乡村对粮食安全与农业碳循环的非对称影响，数据规模大、结论有政策参考价值，值得进入每日精选。",[369],{"name":363,"url":361},[27,371,28,372,373],"数字基础设施","农业碳排放","农户数字化",{"code":68,"slug":375,"name":376,"path":377,"parent_code":378},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[380,386],{"code":381,"slug":382,"name":383,"path":384,"parent_code":385},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":388},{"candidates":389,"agricultural_evidence":47},[390,397,401,405],{"code":381,"score":19,"supported":47,"title":391,"abstract":393,"tags":396},[392],"农业碳",[394,392,395],"碳排放","碳足迹",[372],{"code":33,"score":20,"supported":47,"title":398,"abstract":399,"tags":400},[27],[27],[27,371],{"code":68,"score":21,"supported":47,"title":402,"abstract":403,"tags":404},[28],[],[28],{"code":166,"score":62,"supported":47,"title":406,"abstract":407,"tags":409},[],[408],"农药",[],[411,412],"数字乡村 粮食安全 农业碳循环","吉林大学 数字乡村 农户","数字乡村粮食安全农业碳循环-4194",{"doi":9,"openalex_id":9,"authors":415,"venue":9,"cited_by_count":91,"oa_url":9,"card":416,"direction":96,"ingested_from":249},[],{"tldr":417,"method":418,"finding":419,"direction":96,"opportunity":420},"基于中国县级与农户数据，评估数字乡村战略对粮食安全和农业碳循环的非对称影响。","989县与1835户多层次数据，固定效应和两阶段最小二乘法。","数字化提升粮食产量并减少碳排放，但未改善作物碳吸收或净碳足迹。","可探究数字乡村对碳吸收无显著影响的原因，并优化数字治理以协同减排与固碳。","2026-10-05T00:04:55.880239Z",{"id":423,"title":424,"url":425,"summary":426,"summary_zh":427,"content":9,"source_name":10,"source_url":425,"published_at":428,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":429,"sources":431,"tags":433,"primary_topic":437,"secondary_topics":438,"classification":439,"search_phrases":460,"slug":463,"view_count":62,"doi":464,"paper":465,"created_at":477},3457,"Social service accessibility and Green Agricultural Development Intensity as pathways to Rural Elderly Welfare: panel evidence from China’s underserved regions","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1863204","Background The elderly population in the rural areas of China, defined as 60 years or older, is over 121 million, representing 23.8% of the total rural population. The elderly population is growing rapidly and is characterized by the triple burden of poor access to healthcare, reduced agricultural income, and being digitally excluded. Although numerous national programs to expand social services and promote green agricultural transformation have been developed, the overall impact of these two policy streams on elderly wellbeing remains an untested area. This study aims to examine the independent and combined effects of social service accessibility (SSA) and Green Agricultural Development Intensity (GADI) on Rural Elderly Welfare (REW), while considering livelihood resilience (LR) as the mediating variable and the digital divide index (DDI) as the moderating condition. Both SSA and GADI are operationalized as province-level composite indices of service provision and agricultural development intensity, respectively, rather than as direct measures of individual elderly residents’ service use or farming behavior; this measurement level is made explicit throughout. Methods A panel data set was created, with the data collected at the provincial level and covering 30 provinces in China from 2013 to 2022 ( N = 268). Three province-year cells are missing because Tibet and Hainan entered the relevant statistical series after 2013, and a further 29 cells were dropped through listwise deletion of province-years with incomplete sub-indicators. The data was collected from the China Statistical Yearbooks, CNNIC internet reports, and the China Health and Retirement Longitudinal Study. The estimation results were based on two-way fixed-effects regression with interaction terms, and a bootstrap mediation analysis with 5,000 replications. The results were also checked for robustness through IV-2SLS estimation, winsorization, alternative specification for the dependent variable, excluding municipalities, and dynamic panel (system-GMM) estimation. Results SSA exerted a significant positive effect on REW ( β = 0.27, p \u003C 0.05), as did GADI ( β = 0.18, p \u003C 0.10). The SSA × GADI interaction was significant and positive ( β = 0.14, p \u003C 0.05), implying that the combined effect exceeds the additive effect of individual components. Livelihood resilience partially mediated both the SSA–REW pathway (indirect effect = 0.09, 95% CI [0.03, 0.16]) and the GADI–REW pathway (indirect effect = 0.06, 95% CI [0.01, 0.12]). Contrary to expectations, DDI failed to significantly moderate the relationship between GADI and REW ( β = −0.023, p = 0.412). Conclusion Coordinating social services with green agriculture was associated with wellbeing gains modestly but significantly greater than the sum of the two policy streams implemented in isolation. The synergy premium was estimated at 6% over the additive prediction (approximately 1–11% based on the 95% CI of the interaction coefficient), a pattern consistent with partial transmission through livelihood resilience. Interventions in the underserved rural areas should focus on integrated packages consisting of improved access to healthcare services and subsidies in green agriculture, rather than the two policy streams in isolation.","背景 中国农村60岁及以上老年人口超过1.21亿，占农村总人口的23.8%。老年人口增长迅速，且呈现出三重负担特征：医疗服务可及性差、农业收入减少以及被数字排斥。尽管国家已制定多项扩大社会服务和推动绿色农业转型的计划，但这两类政策对老年人福祉的总体影响仍是一个未经检验的领域。本研究旨在考察社会服务可及性（SSA）与绿色农业发展强度（GADI）对农村老年人福祉（REW）的独立效应和联合效应，同时将生计韧性（LR）作为中介变量、数字鸿沟指数（DDI）作为调节条件纳入考量。SSA和GADI分别被操作化为省级层面的服务供给和农业发展强度综合指数，而非个体老年居民服务使用或耕作行为的直接测量指标；这一测量层次在全文中有明确说明。方法 本研究构建了一个面板数据集，数据在省级层面收集，覆盖中国30个省份2013年至2022年（N = 268）。由于西藏和海南在2013年之后才进入相关统计序列，有3个省份-年份单元缺失；另有29个单元因省份-年份子指标不完整而通过列表删除法被剔除。数据来源于《中国统计年鉴》、CNNIC互联网报告和中国健康与养老追踪调查。估计结果基于带交互项的双向固定效应回归，以及重复5,000次的Bootstrap中介分析。研究还通过IV-2SLS估计、缩尾处理、因变量替代设定、剔除直辖市以及动态面板（系统GMM）估计对结果进行了稳健性检验。结果 SSA对REW具有显著正向效应（β = 0.27，p \u003C 0.05），GADI亦然（β = 0.18，p \u003C 0.10）。SSA × GADI交互项显著且为正（β = 0.14，p \u003C 0.05），表明联合效应超过各组成部分的加性效应。生计韧性部分中介了SSA–REW路径（间接效应 = 0.09，95% CI [0.03, 0.16]）和GADI–REW路径（间接效应 =","2026-09-24T00:00:00Z",{"impact":18,"substance":261,"depth":19,"authority":115,"freshness":21,"relevant":22,"comment":430},"基于30省十年面板数据，首次量化社会服务可及性与绿色农业发展强度对农村老年福祉的协同效应，方法扎实、结论有政策参考价值，值得进入每日精选。",[432],{"name":10,"url":425},[27,434,435,30,436],"绿色农业","数字鸿沟","农村养老",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":440},{"candidates":441,"agricultural_evidence":47},[442,447,451,455],{"code":33,"score":212,"supported":47,"title":443,"abstract":444,"tags":446},[],[435,445],"digital divide",[27,435],{"code":53,"score":22,"supported":14,"title":448,"abstract":449,"tags":450},[],[],[30],{"code":281,"score":22,"supported":14,"title":452,"abstract":453,"tags":454},[],[],[436],{"code":456,"score":22,"supported":14,"title":457,"abstract":458,"tags":459},"H8",[],[],[434],[461,462],"农村老年福祉 绿色农业 社会服务","中国农村 数字鸿沟 面板数据","农村老年福祉绿色农业社会服务-3457","10.3389\u002Ffsufs.2026.1863204",{"doi":464,"openalex_id":466,"authors":467,"venue":10,"cited_by_count":91,"oa_url":425,"card":472,"direction":96,"ingested_from":98},"W7214194964",[468,470],{"name":469,"orcid":9},"Linxin Wang",{"name":471,"orcid":9},"Fengyi Wang",{"tldr":473,"method":474,"finding":475,"direction":96,"opportunity":476},"用中国30省面板数据检验社会服务可及性与绿色农业发展强度对农村老年人福利的影响。","2013-2022年省级面板数据，双向固定效应、交互项与bootstrap中介检","两者均显著提升农村老年福利，且存在正向交互，生计韧性起部分中介作用。","可下沉到个体或村级数据，检验数字鸿沟调节下服务与绿色农业协同的微观福利机制。","2026-09-25T23:30:06.791118Z"]