[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3287":3,"related-3287":36},{"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":22,"tags":24,"search_phrases":30,"slug":33,"view_count":34,"doi":8,"paper":8,"created_at":35},3287,"2026年中国农民丰收节陕西省主场活动将于9月23日在靖边启幕——六展区集中展示新品种、新技术、新机具、智慧农业应用场景","http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794","9月23日，2026年中国农民丰收节陕西省主场活动在榆林市靖边县红墩界镇启幕。本次活动设置六大特色展区，涵盖省市特色农产品、现代农业机械与优良农种、乡村工匠与非遗、特色美食、陕北白绒山羊良种展示等板块，集中呈现新品种、新技术、新机具、智慧农业应用场景。靖边2025年全县农林牧渔业总产值达73.35亿元，农村居民人均可支配收入24026元；拥有马铃薯、羊肉、胡萝卜等7个国家地理标志保护产品；获评国家生态原产地产品保护示范区、全国粮食生产先进县等十余项国家级涉农荣誉。",null,"[MENU](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n*   [首页](http:\u002F\u002Fwww.zgxczxzz.com\u002F)\n*   [要闻资讯](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=1)\n*   [振兴动态](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=2)\n*   [振兴行动](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=4)\n*   [振兴论坛](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=3)\n*   [振兴看台](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=10)\n*   [人物故事](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=13)\n*   [学习园地](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=14)\n*   [中国乡村振兴杂志](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=15)\n\n*   国家乡村振兴局主管 《中国乡村振兴》杂志社主办\n*   2026年9月24日 星期四 0:4 \n\n[![Image 8](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Flogo.png)](http:\u002F\u002Fwww.zgxczxzz.com\u002F)\n\n弘扬脱贫攻坚精神  \n推进乡村全面振兴 \n\n[![Image 9](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Fweibo.png)](javascript:;)[![Image 10](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Fweixin.png)](javascript:;)[![Image 11](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Fphone.png)](javascript:;)\n\n[![Image 12](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20210225161418328499.jpg)_全面推进乡村振兴_](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n[![Image 13](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20210304161485023459.jpg)_脱贫攻坚精神_](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n[![Image 14](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20210301161456812369.jpg)_产业振兴_](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n[![Image 15](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20210225161418328499.jpg)_全面推进乡村振兴_](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n[![Image 16](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20210304161485023459.jpg)_脱贫攻坚精神_](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n[1](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n[2](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n[3](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n[Prev](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)[Next](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n*   [首页](http:\u002F\u002Fwww.zgxczxzz.com\u002F)\n*   [要闻资讯](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=1)\n*   [振兴动态](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=2)\n*   [振兴行动](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=4)\n*   [振兴论坛](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=3)\n*   [振兴看台](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=10)\n*   [人物故事](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=13)\n*   [学习园地](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=14)\n*   [中国乡村振兴杂志](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=15)\n\n![Image 17](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20210428161959613726.jpg)\n# 扫二维码，关注一下!\n\n![Image 18](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20240429171435888338.jpg)\n# 扫二维码，关注一下!\n\n![Image 19](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20190226155114549238.jpg)\n# 扫二维码，关注一下!\n\n[![Image 20](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Flogo_m.png)](http:\u002F\u002Fwww.zgxczxzz.com\u002F)\n\n弘扬脱贫攻坚精神  \n推进乡村全面振兴\n\n[](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794#menu)\n\n媒体关注\n\n[首页](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Index&c=Index&a=index)>[振兴动态](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=2)>[媒体关注](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=18)\n\n2026年中国农民丰收节陕西省主场活动将于9月23日在靖边启幕\n\n时间：2026-09-21 11:45:57 来源：[农民日报](http:\u002F\u002Fwww.zgxczxzz.com\u002Fwww.zgxczxzz.com)作者：胡明宝\n\n9月23日，2026年中国农民丰收节陕西省主场活动将在榆林市靖边县红墩界镇启幕。本次活动以“丰收开新局 实干促振兴”为主题，聚焦展示丰收成果、做好为农服务、弘扬农耕文化、提振乡村消费、做优节庆品牌五大方向，集中展示三秦大地“三农”发展新成效、和美乡村建设新风貌，凝聚全省乡村全面振兴奋进力量。\n\n![Image 21: 11_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996299061.jpg)\n\n本次活动坚持农民主体、务实惠民，现场设置六大特色展区，涵盖省市特色农产品、现代农业机械与优良农种、乡村工匠与非遗、特色美食、陕北白绒山羊良种展示等板块，集中呈现新品种、新技术、新机具、智慧农业应用场景，全方位展示陕西农业科技赋能、产业提质、乡村焕新的丰硕成果。活动同步发布惠农政策，开展科技下乡、普法宣传、义诊帮扶、走访慰问等惠民服务，把节日红利送到田间地头。\n\n![Image 22: 22_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996301141.jpg)\n\n活动兼顾专业性与群众性，内容丰富、亮点十足。将举办贴合陕北农事特色的农民趣味运动会，群众围绕收粮分拣、囤放转运等农事项目比拼竞技，尽显新时代农民实干风采。当日下午，陕北白绒山羊专场推介活动登场，通过五大特色单元，融合良种展示、美食体验、产业交流、良种拍卖等多元内容，擦亮陕北畜牧产业名片。\n\n![Image 23: 33_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996304131.jpg)\n\n![Image 24: 44_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996305451.jpg)\n\n此外，主舞台将上演“非遗赋能丰收、文艺点亮振兴”主题展演，同步开展非遗汇演、先进典型宣讲、农特产品推介认购，现场举行校地合作签约、产销对接举牌等活动，畅通产销渠道、搭建产学研合作平台，持续激活乡村消费、赋能产业升级。\n\n![Image 25: 55_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996308791.jpg)\n\n作为本次省级主场承办地，靖边农业基础扎实、产业特色鲜明，是陕北旱作现代农业高质量发展的典型县域。2025年全县农林牧渔业总产值达73.35亿元，农村居民人均可支配收入24026元。当地拥有马铃薯、羊肉、胡萝卜等7个国家地理标志保护产品，靖边马铃薯、胡萝卜、辣椒、荞麦、羊肉入选全国名特优新农产品名录，马铃薯获评中国特色农产品优势区，靖边白绒山羊达到国家特细型标准，打造形成“阜美靖边”“靖原康”区域品牌。获评“国家生态原产地产品保护示范区”“全国粮食生产先进县”等十余项国家级涉农荣誉，农业现代化、品牌化水平持续提升。\n\n![Image 26: 66_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996312636.jpg)\n\n![Image 27: 77_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996313912.jpg)\n\n此次丰收节落地靖边，将充分展现陕北现代农业发展活力与和美乡村建设成果，持续擦亮陕西丰收节品牌，为全省农业农村现代化、乡村全面振兴注入强劲动能。（农民日报全媒体记者 胡明宝）\n\n![Image 28](blob:http:\u002F\u002Flocalhost\u002Ffeacc695014297615862b05b3149554b)\n\n推荐阅读\n\n*   [球场不止于胜负：村BA映照苗山乡村振兴的内..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56716 \"球场不止于胜负：村BA映照苗山乡村振兴的内生力量\")\n*   [国新办举行新闻发布会 介绍2026年上半年..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56125 \"国新办举行新闻发布会 介绍2026年上半年农业农村经济运行情况\")\n*   [国新办举行新闻发布会 介绍东西部协作工..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55790 \"国新办举行新闻发布会 介绍东西部协作工作进展成效（实录）\")\n*   [关于全国乡村振兴奖拟表彰对象的公示..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55766 \"关于全国乡村振兴奖拟表彰对象的公示\")\n*   [国务院关于印发《加快农业农村现代化 “..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55752 \"国务院关于印发《加快农业农村现代化  “十五五”规划》的通知\")\n*   [“三农”题材新大众文艺作品开始征集啦！..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55640 \"“三农”题材新大众文艺作品开始征集啦！\")\n*   [“三农”题材新大众文艺作品征集展示活动..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55639 \"“三农”题材新大众文艺作品征集展示活动方案\")\n\n相关文章\n\n*   [山东临沭：社会力量协同创新 红薯地长出“..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56811 \"山东临沭：社会力量协同创新 红薯地长出“富美”\")\n*   [一屏连城乡 三路暖民心 万播兴荆楚 ——..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56797 \"一屏连城乡 三路暖民心 万播兴荆楚 ——湖北省“村播”培育纪实\")\n*   [2026年中国农民丰收节陕西省主场活动将于..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794 \"2026年中国农民丰收节陕西省主场活动将于9月23日在靖边启幕\")\n*   [海南省“十五五”槟榔产业规划解读研讨会..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56770 \"海南省“十五五”槟榔产业规划解读研讨会召开 聚焦规范发展与减害创新\")\n*   [安康岚皋：“袈裟梯田”涌金浪..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56747 \"安康岚皋：“袈裟梯田”涌金浪\")\n*   [宁夏特色产业产品宣传推介活动在北京举行..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56570 \"宁夏特色产业产品宣传推介活动在北京举行\")\n*   [文旅连心 家园可栖——台胞“第一家园”..](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56379 \"文旅连心 家园可栖——台胞“第一家园”的八闽实践\")\n\n振兴动态\n\n*   ![Image 29](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Flist\u002Ftag1.png)[部委省市](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=16)\n*   ![Image 30](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Flist\u002Ftag1.png)[地方声音](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=17)\n*   ![Image 31](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Flist\u002Ftag1.png)[媒体关注](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=18)\n*   ![Image 32](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Flist\u002Ftag1.png)[本刊特稿](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=19)\n\n 专题专栏 \n\n[更多>](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=52)\n\n[![Image 33](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260119176880512181.jpg)_2025年农业农村工作会_](https:\u002F\u002Fwww.moa.gov.cn\u002Fztzl\u002F2025zyncgzh\u002F)\n\n[![Image 34](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20250214173950439058.png)_巩固脱贫攻坚成果 全面推进乡村振兴典型案例集_](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=113)\n\n[![Image 35](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260119176880512181.jpg)_2025年农业农村工作会_](https:\u002F\u002Fwww.moa.gov.cn\u002Fztzl\u002F2025zyncgzh\u002F)\n\n[![Image 36](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20250214173950439058.png)_巩固脱贫攻坚成果 全面推进乡村振兴典型案例集_](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=113)\n\n[1](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n[2](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n[Prev](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)[Next](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794)\n\n*   [![Image 37: 2025年农业农村厅局长会议](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260119176878988864.png)](https:\u002F\u002Fwww.moa.gov.cn\u002Fztzl\u002F2025zyncgzh\u002F)\n*   [![Image 38: 巩固脱贫攻坚成果 全面推进乡村振兴典型案例集](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20250214173950222043.png)](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=113)\n\n*   ![Image 39](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[兴安盟好物](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=115 \"兴安盟好物\")\n*   ![Image 40](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[海南鲜品专栏](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=114 \"海南鲜品专栏\")\n*   ![Image 41](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[大学生“三下乡”活动](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=111 \"大学生“三下乡”活动\")\n*   ![Image 42](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[中央专项彩票公益金支持革命老区乡村振兴项目](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=110 \"中央专项彩票公益金支持革命老区乡村振兴项目\")\n*   ![Image 43](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[全国脱贫攻坚表彰大会](http:\u002F\u002Fwww.cpad.gov.cn\u002Fcol\u002Fcol4321\u002Findex.html \"全国脱贫攻坚表彰大会\")\n*   ![Image 44](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[宁夏扶贫专题](http:\u002F\u002Fwww.cnfpzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=70 \"宁夏扶贫专题\")\n*   ![Image 45](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[决胜脱贫攻坚 督战未摘帽贫困县](http:\u002F\u002Fwww.cnfpzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=81 \"决胜脱贫攻坚 督战未摘帽贫困县\")\n*   ![Image 46](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[扶志扶智](http:\u002F\u002Fwww.cnfpzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=74 \"扶志扶智\")\n*   ![Image 47](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[脱贫攻坚网络展](http:\u002F\u002Ffpzg.cpad.gov.cn\u002F \"脱贫攻坚网络展\")\n\n部委省市\n\n[更多>](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=16)\n\n[![Image 48: 吃住在村，入户访谈，海南省委书记冯飞在临高县和舍镇铺仔村蹲点调研乡村振兴工作](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260602178037436954.jpg)](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55740 \"吃住在村，入户访谈，海南省委书记冯飞在临高县和舍镇铺仔村蹲点调研乡村振兴工作\")\n\n[吃住在村，入户访谈，海南省委书记冯飞在临高县和舍镇铺仔村蹲点调研乡村振兴工作](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794 \"吃住在村，入户访谈，海南省委书记冯飞在临高县和舍镇铺仔村蹲点调研乡村振兴工作\")\n\n*   ![Image 49](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[吃住在村，入户访谈，海南省委书记冯飞在临高县和舍镇铺仔村蹲点调研乡村振兴工作](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55740 \"吃住在村，入户访谈，海南省委书记冯飞在临高县和舍镇铺仔村蹲点调研乡村振兴工作\")\n*   ![Image 50](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[中国侨联党组书记、主席王灵桂会见陕西省委书记赵一德、省长赵刚一行](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55401 \"中国侨联党组书记、主席王灵桂会见陕西省委书记赵一德、省长赵刚一行\")\n*   ![Image 51](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[人力资源社会保障部、农业农村部召开会议部署做好常态化防止返贫致贫就业帮扶工作](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55379 \"人力资源社会保障部、农业农村部召开会议部署做好常态化防止返贫致贫就业帮扶工作\")\n*   ![Image 52](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[陕西省委书记赵一德：扎实做好督察整改“后半篇文章” 推动美丽陕西建设取得更大成效](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55356 \"陕西省委书记赵一德：扎实做好督察整改“后半篇文章” 推动美丽陕西建设取得更大成效\")\n\n地方声音\n\n[更多>](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=17)\n\n*   [![Image 53: 片区化推进乡村振兴的山东实践丨山东省青岛市百果百福乡村振兴片区：连片聚合力 激活乡村文旅新动能](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260917178965806116.png) 片区化推进乡村振兴的山东实践丨山东省青岛市百果百福乡村振兴片区：连片聚合力 激活乡村文旅新动能](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56777 \"片区化推进乡村振兴的山东实践丨山东省青岛市百果百福乡村振兴片区：连片聚合力 激活乡村文旅新动能\")\n*   [![Image 54: 探访“中国石头第一村”的蝶变之路：六百年石村焕新生 十三载初心筑振兴](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260902178833315340.png) 探访“中国石头第一村”的蝶变之路：六百年石村焕新生 十三载初心筑振兴](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56614 \"探访“中国石头第一村”的蝶变之路：六百年石村焕新生 十三载初心筑振兴\")\n\n*   ![Image 55](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[云南西畴：推优培育闭环机制，让实干青年“被看见”](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56826 \"云南西畴：推优培育闭环机制，让实干青年“被看见”\")\n*   ![Image 56](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[山东枣庄：润育沃野特色品牌新发展](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56784 \"山东枣庄：润育沃野特色品牌新发展\")\n*   ![Image 57](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[河南固始：锚定目标全力冲刺 县域发展再谱新篇](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56783 \"河南固始：锚定目标全力冲刺 县域发展再谱新篇\")\n*   ![Image 58](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[片区化推进乡村振兴的山东实践丨山东省青岛市百果百福乡村振兴片区：连片聚合力 激活乡村文旅新动能](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56777 \"片区化推进乡村振兴的山东实践丨山东省青岛市百果百福乡村振兴片区：连片聚合力 激活乡村文旅新动能\")\n*   ![Image 59](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[甘肃陇西县：数字赋能农村“三资”监管 激活乡村振兴内生动力](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56698 \"甘肃陇西县：数字赋能农村“三资”监管 激活乡村振兴内生动力\")\n*   ![Image 60](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[探访“中国石头第一村”的蝶变之路：六百年石村焕新生 十三载初心筑振兴](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56614 \"探访“中国石头第一村”的蝶变之路：六百年石村焕新生 十三载初心筑振兴\")\n\n媒体关注\n\n[更多>](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArctype&a=index&t_id=18)\n\n*   [![Image 61: 一屏连城乡 三路暖民心 万播兴荆楚 ——湖北省“村播”培育纪实](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178999541618.png) 一屏连城乡 三路暖民心 万播兴荆楚 ——湖北省“村播”培育纪实](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56797 \"一屏连城乡 三路暖民心 万播兴荆楚 ——湖北省“村播”培育纪实\")\n*   [![Image 62: 11_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996299061.jpg) 2026年中国农民丰收节陕西省主场活动将于9月23日在靖边启幕](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794 \"2026年中国农民丰收节陕西省主场活动将于9月23日在靖边启幕\")\n\n*   ![Image 63](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[山东临沭：社会力量协同创新 红薯地长出“富美”](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56811 \"山东临沭：社会力量协同创新 红薯地长出“富美”\")\n*   ![Image 64](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[一屏连城乡 三路暖民心 万播兴荆楚 ——湖北省“村播”培育纪实](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56797 \"一屏连城乡 三路暖民心 万播兴荆楚 ——湖北省“村播”培育纪实\")\n*   ![Image 65](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[2026年中国农民丰收节陕西省主场活动将于9月23日在靖边启幕](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56794 \"2026年中国农民丰收节陕西省主场活动将于9月23日在靖边启幕\")\n*   ![Image 66](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[海南省“十五五”槟榔产业规划解读研讨会召开 聚焦规范发展与减害创新](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56770 \"海南省“十五五”槟榔产业规划解读研讨会召开 聚焦规范发展与减害创新\")\n*   ![Image 67](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[安康岚皋：“袈裟梯田”涌金浪](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56747 \"安康岚皋：“袈裟梯田”涌金浪\")\n*   ![Image 68](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Findex\u002Ftb2.png)[宁夏特色产业产品宣传推介活动在北京举行](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56570 \"宁夏特色产业产品宣传推介活动在北京举行\")\n\n参与互动\n\n![Image 69](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Flist\u002Fr_weibo.png)\n\n[http:\u002F\u002Fwww.sina.com.cn\u002F](http:\u002F\u002Fwww.sina.com.cn\u002F)\n\n![Image 70](http:\u002F\u002Fwww.zgxczxzz.com\u002Ftemplate\u002FIndex\u002FCommon\u002Fimages\u002Flist\u002Fe_phone.png)\n\n010—59195820\n\n公共微信\n\n![Image 71](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20210428161959613726.jpg)\n\n2026年中国农民丰收节陕西省主场活动将于9月23日在靖边启幕\n\n时间：2026-09-21 11:45:57\n\n来源：农民日报\n\n作者：胡明宝\n\n9月23日，2026年中国农民丰收节陕西省主场活动将在榆林市靖边县红墩界镇启幕。本次活动以“丰收开新局 实干促振兴”为主题，聚焦展示丰收成果、做好为农服务、弘扬农耕文化、提振乡村消费、做优节庆品牌五大方向，集中展示三秦大地“三农”发展新成效、和美乡村建设新风貌，凝聚全省乡村全面振兴奋进力量。\n\n![Image 72: 11_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996299061.jpg)\n\n本次活动坚持农民主体、务实惠民，现场设置六大特色展区，涵盖省市特色农产品、现代农业机械与优良农种、乡村工匠与非遗、特色美食、陕北白绒山羊良种展示等板块，集中呈现新品种、新技术、新机具、智慧农业应用场景，全方位展示陕西农业科技赋能、产业提质、乡村焕新的丰硕成果。活动同步发布惠农政策，开展科技下乡、普法宣传、义诊帮扶、走访慰问等惠民服务，把节日红利送到田间地头。\n\n![Image 73: 22_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996301141.jpg)\n\n活动兼顾专业性与群众性，内容丰富、亮点十足。将举办贴合陕北农事特色的农民趣味运动会，群众围绕收粮分拣、囤放转运等农事项目比拼竞技，尽显新时代农民实干风采。当日下午，陕北白绒山羊专场推介活动登场，通过五大特色单元，融合良种展示、美食体验、产业交流、良种拍卖等多元内容，擦亮陕北畜牧产业名片。\n\n![Image 74: 33_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996304131.jpg)\n\n![Image 75: 44_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996305451.jpg)\n\n此外，主舞台将上演“非遗赋能丰收、文艺点亮振兴”主题展演，同步开展非遗汇演、先进典型宣讲、农特产品推介认购，现场举行校地合作签约、产销对接举牌等活动，畅通产销渠道、搭建产学研合作平台，持续激活乡村消费、赋能产业升级。\n\n![Image 76: 55_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996308791.jpg)\n\n作为本次省级主场承办地，靖边农业基础扎实、产业特色鲜明，是陕北旱作现代农业高质量发展的典型县域。2025年全县农林牧渔业总产值达73.35亿元，农村居民人均可支配收入24026元。当地拥有马铃薯、羊肉、胡萝卜等7个国家地理标志保护产品，靖边马铃薯、胡萝卜、辣椒、荞麦、羊肉入选全国名特优新农产品名录，马铃薯获评中国特色农产品优势区，靖边白绒山羊达到国家特细型标准，打造形成“阜美靖边”“靖原康”区域品牌。获评“国家生态原产地产品保护示范区”“全国粮食生产先进县”等十余项国家级涉农荣誉，农业现代化、品牌化水平持续提升。\n\n![Image 77: 66_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996312636.jpg)\n\n![Image 78: 77_副本.jpg](http:\u002F\u002Fwww.zgxczxzz.com\u002Fupload\u002Fother\u002Fimage\u002F20260921178996313912.jpg)\n\n此次丰收节落地靖边，将充分展现陕北现代农业发展活力与和美乡村建设成果，持续擦亮陕西丰收节品牌，为全省农业农村现代化、乡村全面振兴注入强劲动能。（农民日报全媒体记者 胡明宝）\n\n 推荐阅读 \n\n*   [球场不止于胜负：村BA映照苗山乡村振兴的内生力量](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56716)\n*   [国新办举行新闻发布会 介绍2026年上半年农业农村经济运行情况](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56125)\n*   [国新办举行新闻发布会 介绍东西部协作工作进展成效（实录）](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55790)\n*   [关于全国乡村振兴奖拟表彰对象的公示](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55766)\n*   [国务院关于印发《加快农业农村现代化 “十五五”规划》的通知](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55752)\n*   [“三农”题材新大众文艺作品开始征集啦！](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55640)\n*   [“三农”题材新大众文艺作品征集展示活动方案](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=55639)\n\n 相关文章 \n\n*   [山东临沭：社会力量协同创新 红薯地长出“富美”](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56811)\n*   [一屏连城乡 三路暖民心 万播兴荆楚 ——湖北省“村播”培育纪实](http:\u002F\u002Fwww.zgxczxzz.com\u002Findex.php?m=Archives&c=IndexArchives&a=index&a_id=56797)\n*   [2026年中国农民丰收节陕西省主场活动将于9月23日在靖边启幕](http:\u002F\u002Fwww.zgxczxzz","中国乡村振兴网 2026年09月23日","2026-09-23T00:00:00Z","报道",10,false,56,{"impact":17,"substance":18,"depth":13,"authority":19,"freshness":19,"relevant":20,"comment":21},16,12,9,1,"省级丰收节主场活动预告，含六展区与智慧农业应用场景，时效性强但信息增量有限，可作为区域农业科技展示动态收录。",[23],{"name":10,"url":6},[25,26,27,28,29],"智慧农业","中国农民丰收节","陕西靖边","白绒山羊","农业新机具",[31,32],"靖边 中国农民丰收节 陕西主场","靖边 智慧农业 新品种 新机具","靖边中国农民丰收节陕西主场-3287",0,"2026-09-24T00:03:56.777058Z",{"total":37,"page":20,"page_size":37,"items":38},6,[39,99,142,183,244,289],{"id":40,"title":41,"url":42,"summary":43,"summary_zh":44,"content":8,"source_name":45,"source_url":42,"published_at":11,"category":46,"cover_url":8,"hotness":13,"is_selected":14,"score":47,"score_detail":48,"sources":54,"tags":56,"search_phrases":61,"slug":64,"view_count":34,"doi":65,"paper":66,"created_at":98},3371,"Optimizing nitrogen fertilization in mustard through GreenSeeker-based precision agriculture: Impacts on productivity, economics, and environmental sustainability","https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pone.0358762","Excessive nitrogen (N) fertilization is a major challenge to sustainable agriculture, adversely affecting crop productivity, soil quality, and environmental health, emits a potent greenhouse gas nitrous oxide (N 2 O), and nearly 80% of sectoral emissions linked to nutrient inputs applied during crop production. The escalating use of N fertilizers further amplifies N 2 O emissions, undermining soil sustainability and contributing to environmental degradation. So, the hypothesis used behind the study is increasing nitrogen use efficiency from its current level (approx. 30–40%) would reduce the need for N fertilizer requirement, resulting in more cost-effective and environmentally sustainable production system with no yield penalty. With this objective, a field study was executed in rabi 2021–2024, consisting of nine N management treatments and one unfertilized treatment as control, randomized in complete block design in three replicates. To overcome this problem, first we standardized NDVI based N application and developed a Nitrogen Estimation Rate Chart (NERC) for precision N management in real time for specific set target yield. Results showed that sensor based N application enhanced growth and yield attributes, registered 22.75% seed yield enhancement with 18.7% N saving over RDF and 34.4 & 30.2% increment in NMR and BCR. This treatment augmented AE N and PFP N by 14.18 to 124.7% and 1.78 to 51.1%, respectively achieved higher NRE (35–69.5%). The per cent enrichment in SOC content was found superior in RDN 100 + 2% Urea FS (52.6%) followed by RDN 100 + 1.5% KNO 3 FS (39.4%) statistically comparable to RDF (38.1%). The fertilizers contributed largest share of total carbon emissions, accounting for 45.6–52.3%. NDVI based N management reduced GHGs emissions by approximately 11.23% over RDF. The mean biological yield (seed + stover) unveiled positive correlation to total nitrogen (r 2 = 98), total phosphorus (r 2 = 95) and total potassium (r 2 = 98) uptake. This innovative technology enables farmers to prevent excessive N fertilization, thereby reducing resource wastage and minimizing nitrous oxide emission. This technology provides insight on N need of crop in real time in right quantity.","过量施氮是可持续农业面临的一项重大挑战，会对作物生产力、土壤质量和环境健康产生不利影响，并排放强效温室气体氧化亚氮（N₂O），而该领域近80%的排放与作物生产过程中投入的养分有关。氮肥用量的不断攀升进一步加剧了N₂O排放，削弱土壤可持续性并导致环境退化。因此，本研究提出的假设是：将氮利用效率从当前水平（约30%–40%）提高，可减少对氮肥的需求，从而在不造成产量损失的前提下，实现更具成本效益和环境可持续性的生产体系。基于此目标，于2021—2024年rabi季开展了一项田间研究，包括9个氮管理处理和1个不施肥对照处理，采用完全随机区组设计，3次重复。为解决上述问题，首先标准化了基于NDVI的氮肥施用方法，并开发了氮估算速率表（NERC），用于针对特定目标产量进行实时精准氮管理。结果表明，基于传感器的氮肥施用促进了生长和产量性状，种子产量较推荐施肥量（RDF）提高22.75%，节省氮肥18.7%，净收益（NMR）和效益成本比（BCR）分别提高34.4%和30.2%。该处理使氮农学效率（AE N）和氮偏生产力（PFP N）分别提高14.18%–124.7%和1.78%–51.1%，并实现了更高的氮回收效率（NRE，35%–69.5%）。土壤有机碳（SOC）含量的提升幅度以RDN 100 + 2%尿素叶面喷施（52.6%）最优，其次为RDN 100 + 1.5% KNO₃叶面喷施（39.4%），与RDF（38.1%）在统计上相当。肥料对总碳排放的贡献最大，占45.6%–52.3%。基于NDVI的氮管理较RDF减少温室气体排放约11.23%。平均生物产量（种子+秸秆）与总氮（r² = 98）、总磷（r² = 95）和总钾（r² = 98）吸收量呈正相关。这项创新技术使农民能够避免过量施氮，从而减少资源浪费并降低氧化亚氮排放。该技术可实时提供作物氮需求信息，并指导适宜用量的施用。","PLoS ONE","论文",79,{"impact":49,"substance":50,"depth":49,"authority":51,"freshness":52,"relevant":20,"comment":53},18,22,13,8,"基于NDVI传感器的实时精准施氮研究，四年田间试验数据扎实，兼具增产、节肥与减排价值，对智慧农业施肥决策有参考意义。",[55],{"name":45,"url":42},[25,57,58,59,60],"精准施肥","氮肥管理","NDVI遥感","绿色低碳农业",[62,63],"GreenSeeker NDVI 氮肥管理","芥菜型油菜 精准施氮","GreenSeekerNDVI氮肥管理-3371","10.1371\u002Fjournal.pone.0358762",{"doi":65,"openalex_id":67,"authors":68,"venue":45,"cited_by_count":34,"oa_url":42,"card":90,"direction":96,"ingested_from":97},"W7214115167",[69,72,74,76,78,80,82,84,86,88],{"name":70,"orcid":71},"V. D. Meena","https:\u002F\u002Forcid.org\u002F0000-0001-9528-4832",{"name":73,"orcid":8},"M.L. Dotaniya",{"name":75,"orcid":8},"M.D. Meena",{"name":77,"orcid":8},"R. S. Jat",{"name":79,"orcid":8},"MK Meena",{"name":81,"orcid":8},"R. L. Choudhary",{"name":83,"orcid":8},"H. V. Singh",{"name":85,"orcid":8},"HS MEENA",{"name":87,"orcid":8},"B.L. Meena",{"name":89,"orcid":8},"V. V. Singh",{"tldr":91,"method":92,"finding":93,"direction":94,"opportunity":95},"基于GreenSeeker的NDVI实时氮肥管理优化芥菜施氮，提升产量并减少氮肥与温室气体排放。","2021-2024年田间试验，9个氮处理+对照，用GreenSeeker NDV","传感器施氮使种子产量增22.75%、节氮18.7%，NRE达35-69.5%，温室气体减排约11.2","智慧农业 \u002F 农业物联网","可将NDVI实时氮管理扩展至其他作物与区域，并结合碳足迹模型量化减排经济价值。","农业绿色发展与碳","openalex","2026-09-24T23:30:41.022035Z",{"id":100,"title":101,"url":102,"summary":103,"summary_zh":104,"content":8,"source_name":105,"source_url":102,"published_at":11,"category":46,"cover_url":8,"hotness":13,"is_selected":14,"score":47,"score_detail":106,"sources":109,"tags":111,"search_phrases":116,"slug":119,"view_count":34,"doi":120,"paper":121,"created_at":141},3368,"A PCA-based deep feature optimization framework for explainable orange fruit disease classification","https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12870-026-09984-8","Accurate classification of orange fruit diseases is important for precision agriculture and yield protection. This study develops and rigorously benchmarks a hybrid deep-feature framework for classifying Black Spot, Canker, Fresh, and Greening oranges (1,090 images), combining deep feature extraction, PCA-based dimensionality reduction, and classical machine-learning classification. Eight backbones (seven CNNs and a Vision Transformer, ViT) and four classifiers (32 configurations in total) were evaluated under 5 × 5 repeated stratified cross-validation, with PCA fitted exclusively on training-fold features in every iteration to eliminate data leakage. The proposed ViT + PCA+SVM configuration achieved the highest mean accuracy, 99.12%±0.71%, significantly outperforming every CNN-based backbone, including DenseNet201 + PCA + SVM (98.48%±0.81%, p \u003C 0.001). A dedicated variance-retention sensitivity analysis justifies the 98% threshold used throughout, and ablation experiments confirm that PCA substantially reduces feature dimensionality (by ~ 55.7% for ViT and ~ 76.6% for DenseNet201) without a significant loss of accuracy for either backbone. Explainability analysis — occlusion sensitivity and SHAP for the proposed ViT model, and Grad-CAM and SHAP for the DenseNet201 comparison model — shows that both configurations base predictions on biologically relevant, disease-affected regions of the fruit rather than spurious cues. These results identify ViT + PCA+SVM as the most accurate configuration evaluated, with DenseNet201 + PCA + SVM as a closely competitive, more compact convolutional alternative for intelligent orchard disease-monitoring systems.","橙类果实病害的准确分类对精准农业和产量保护具有重要意义。本研究开发并严格基准测试了一种混合深度特征框架，用于对黑斑病、溃疡病、新鲜和黄龙病橙类（1，090张图像）进行分类，该框架结合了深度特征提取、基于PCA的降维和经典机器学习分类。在5×5重复分层交叉验证下评估了八种骨干网络（七种CNN和一种视觉Transformer，ViT）和四种分类器（共32种配置），每次迭代中PCA仅在训练折特征上拟合以消除数据泄漏。所提出的ViT + PCA+SVM配置取得了最高平均准确率，为99.12%±0.71%，显著优于所有基于CNN的骨干网络，包括DenseNet201 + PCA + SVM（98.48%±0.81%，p \u003C 0.001）。专门的方差保留敏感性分析证明了全程使用的98%阈值是合理的，消融实验证实PCA大幅降低了特征维度（ViT约降低55.7%，DenseNet201约降低76.6%），且两种骨干网络均无显著准确率损失。可解释性分析——对所提出的ViT模型采用遮挡敏感性和SHAP，对DenseNet201对比模型采用Grad-CAM和SHAP——表明两种配置均基于果实中生物学相关的病害影响区域而非虚假线索进行预测。这些结果确定ViT + PCA+SVM为所评估的最准确配置，而DenseNet201 + PCA + SVM则是一种竞争力接近且更紧凑的卷积替代方案，可用于智能果园病害监测系统。","BMC Plant Biology",{"impact":17,"substance":50,"depth":49,"authority":107,"freshness":19,"relevant":20,"comment":108},14,"方法严谨、数据与消融实验充分，对果园智能病害监测有实用参考价值，但属细分技术论文，产业影响有限。",[110],{"name":105,"url":102},[25,112,113,114,115],"农业人工智能","可解释AI","病害识别","柑橘种植",[117,118],"柑橘病害 深度学习 分类","ViT PCA SVM 病害识别","柑橘病害深度学习分类-3368","10.1186\u002Fs12870-026-09984-8",{"doi":120,"openalex_id":122,"authors":123,"venue":105,"cited_by_count":34,"oa_url":102,"card":135,"direction":139,"ingested_from":97},"W7214068709",[124,126,128,130,133],{"name":125,"orcid":8},"Amruta Hingmire",{"name":127,"orcid":8},"Avinash Golande",{"name":129,"orcid":8},"Vinodkumar Bhutnal",{"name":131,"orcid":132},"Sagar Dhanraj Pande","https:\u002F\u002Forcid.org\u002F0000-0003-4506-6997",{"name":134,"orcid":8},"Tanuja Pande",{"tldr":136,"method":137,"finding":138,"direction":139,"opportunity":140},"提出PCA深度特征优化框架，用ViT+SVM分类橙子病害，准确率达99.12%。","8种骨干网络提取特征，PCA降维，4种分类器，5×5交叉验证。","ViT+PCA+SVM最优，PCA降维超55%且精度不降，可解释性验证有效。","农业人工智能与决策模型","可探索轻量化模型在移动端或边缘设备的实时病害检测与多作物泛化。","2026-09-24T23:30:34.116938Z",{"id":143,"title":144,"url":145,"summary":146,"summary_zh":147,"content":8,"source_name":148,"source_url":145,"published_at":149,"category":46,"cover_url":8,"hotness":13,"is_selected":14,"score":150,"score_detail":151,"sources":155,"tags":157,"search_phrases":161,"slug":164,"view_count":34,"doi":165,"paper":166,"created_at":182},3367,"Digital Technology Adoption Conditioning Analysis Model in Agriculture","https:\u002F\u002Fdoi.org\u002F10.20944\u002Fpreprints202609.1880.v1","Technological advancements have been responsible for a significant part of the growth in agricultural productivity in recent years. Digital technologies have a high potential to enable the development of the agricultural sector, reshape value chains, and significantly contribute to more productive, resilient, and transparent food systems; however, their adoption in Brazil remains uneven due to regional disparities and structural bottlenecks. The research investigated this problem to build and validate the Digital Technology Adoption Conditioning Analysis Model (MAC-AgriTech), through a case study with Brazilian agricultural data, encompassing the identification of conditioning factors, their territorial evaluation, and the proposition of actions, while providing structured data collection and analysis instruments. The spatial analysis revealed deep territorial asymmetries, concentrating resources and infrastructure in the South and Southeast regions. Econometric modeling demonstrated that digital adoption is primarily driven by the producer’s digital familiarity, connectivity quality, and property scale, with 77% of producers identifying acquisition and maintenance costs as the primary barrier. The transition to digital agriculture in Brazil requires targeted, multidimensional public policies—such as expanded rural connectivity, technical training, and subsidized credit—to overcome regional gaps, and to increase agricultural competitiveness, efficiency, and sustainability.","近年来，技术进步对农业生产力增长贡献显著。数字技术具有巨大潜力，能够推动农业部门发展、重塑价值链，并为构建更高产、更具韧性且更透明的粮食体系作出重要贡献；然而，由于区域差异和结构性瓶颈，其在巴西的采用仍不均衡。本研究针对这一问题，通过一项基于巴西农业数据的案例研究，构建并验证了数字技术采用条件分析模型（MAC-AgriTech），涵盖条件因素的识别、其区域性评估以及行动建议的提出，同时提供了结构化的数据收集与分析工具。空间分析揭示了深刻的区域不对称性，资源和基础设施集中在南部和东南部地区。计量经济建模表明，数字采用主要受生产者数字熟悉度、连接质量和财产规模的驱动，其中77%的生产者将购置和维护成本视为主要障碍。巴西向数字农业的转型需要有针对性的、多维度的公共政策——如扩大农村连接、技术培训和补贴信贷——以克服区域差距，并提高农业竞争力、效率和可持续性。","Preprints.org","2026-09-22T00:00:00Z",67,{"impact":17,"substance":152,"depth":153,"authority":37,"freshness":52,"relevant":20,"comment":154},20,17,"基于巴西农业数据的数字技术采纳条件分析模型研究，方法系统、结论有实证支撑，但属预印本且聚焦巴西，对国内参考价值有限。",[156],{"name":148,"url":145},[158,25,112,159,160],"数字农业","巴西农业","农村数字化",[162,163],"巴西 数字农业 技术采纳","MAC-AgriTech 模型","巴西数字农业技术采纳-3367","10.20944\u002Fpreprints202609.1880.v1",{"doi":165,"openalex_id":167,"authors":168,"venue":148,"cited_by_count":34,"oa_url":145,"card":176,"direction":180,"ingested_from":97},"W7214109425",[169,172,174],{"name":170,"orcid":171},"Isabela Santos","https:\u002F\u002Forcid.org\u002F0009-0002-3659-2020",{"name":173,"orcid":8},"Eduardo Dias",{"name":175,"orcid":8},"Lidia Scoton",{"tldr":177,"method":178,"finding":179,"direction":180,"opportunity":181},"构建并验证MAC-AgriTech模型，分析巴西农业数字技术采纳的条件因素与区域差异。","巴西农业数据案例研究，空间分析与计量经济建模。","采纳主要由数字熟悉度、连接质量和农场规模驱动，77%生产者视成本为首要障碍。","数字乡村与农业信息化","可延伸至中国等发展中国家，探究数字素养、基础设施与政策组合对技术采纳的因果效应。","2026-09-24T23:30:27.046035Z",{"id":184,"title":185,"url":186,"summary":187,"summary_zh":188,"content":8,"source_name":189,"source_url":186,"published_at":11,"category":46,"cover_url":8,"hotness":13,"is_selected":14,"score":190,"score_detail":191,"sources":193,"tags":195,"search_phrases":199,"slug":202,"view_count":34,"doi":203,"paper":204,"created_at":243},3366,"Brazilian Insect Survey: A Platform for Pest Management","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13744-026-01426-2","Abstract Modern agriculture faces significant challenges in integrated pest management, where collecting, connecting, and processing monitoring data in real time are essential. This study presents the Brazilian Insect Survey (BIS), a web-based platform designed to centralize and streamline phytosanitary data management, enabling the integration of computer vision, field experimentation, and population modeling within a unified digital ecosystem. The platform is organized into functional modules that support experimental data management (TrapSystem and AgroExperiment), automated insect detection and counting from digital images (InsectCV and AphidCV), and simulation of aphid population dynamics (ABISM). These components operate in synergy, supported by distributed processing infrastructure, to ensure scalable data handling and efficient analytical workflows. Multi-year field applications demonstrate that integrating field data acquisition and automated image analysis with mechanistic population modeling enables timely, model-driven interventions that reduce aphid infestation levels and protect crop yield potential under variable environmental conditions, providing empirical evidence for queryPlease check if the captured keywords are correct.the effectiveness of combining AI-based insect detection with population dynamics modeling in operational integrated pest management. The case studies presented here demonstrate that the BIS platform successfully integrates computer vision, field experimentation, and population modeling within a modular digital ecosystem, highlighting its potential to enhance decision-making and advance data-driven integrated pest management.","摘要 现代农业在有害生物综合治理方面面临重大挑战，其中实时采集、连接和处理监测数据至关重要。本研究提出了巴西昆虫调查平台（Brazilian Insect Survey，BIS），这是一个基于网络的平台，旨在集中化和简化植物检疫数据管理，使计算机视觉、田间试验和种群建模能够整合在一个统一的数字生态系统中。该平台按功能模块组织，支持实验数据管理（TrapSystem和AgroExperiment）、基于数字图像的昆虫自动检测与计数（InsectCV和AphidCV），以及蚜虫种群动态模拟（ABISM）。这些组件在分布式处理基础设施的支持下协同运行，以确保可扩展的数据处理和高效的分析工作流。多年田间应用表明，将田间数据采集和自动图像分析与机制性种群建模相结合，能够实现及时的、模型驱动的干预，从而在多变的环境条件下降低蚜虫侵染水平并保护作物产量潜力，为将基于人工智能的昆虫检测与种群动态建模相结合在实际有害生物综合治理中的有效性提供了经验证据。本文所呈现的案例研究表明，BIS平台成功地将计算机视觉、田间试验和种群建模整合在一个模块化数字生态系统中，凸显了其在增强决策能力和推进数据驱动有害生物综合治理方面的潜力。","Neotropical Entomology",80,{"impact":49,"substance":50,"depth":49,"authority":107,"freshness":52,"relevant":20,"comment":192},"巴西昆虫调查平台将计算机视觉与种群动态模型整合进IPM实践，方法新颖、多年田间验证，对智慧农业病虫害监测有参考价值。",[194],{"name":189,"url":186},[25,112,196,197,198],"计算机视觉","病虫害监测","种群模型",[200,201],"Brazil 蚜虫 监测平台","农业人工智能 病虫害监测 计算机视觉 智慧农业","Brazil蚜虫监测平台-3366","10.1007\u002Fs13744-026-01426-2",{"doi":203,"openalex_id":205,"authors":206,"venue":189,"cited_by_count":34,"oa_url":186,"card":238,"direction":180,"ingested_from":97},"W7214074071",[207,210,212,215,218,220,223,226,229,232,235],{"name":208,"orcid":209},"Telmo De Cesaro Júnior","https:\u002F\u002Forcid.org\u002F0000-0002-2886-229X",{"name":211,"orcid":8},"Bárbara Stella Wehrmann",{"name":213,"orcid":214},"Alexandre Tagliari Lazzaretti","https:\u002F\u002Forcid.org\u002F0009-0004-8345-8216",{"name":216,"orcid":217},"Roberto Wiest","https:\u002F\u002Forcid.org\u002F0000-0001-7982-6603",{"name":219,"orcid":8},"Jorge Luis Boeira Bavaresco",{"name":221,"orcid":222},"Brenda Slongo Taca","https:\u002F\u002Forcid.org\u002F0009-0000-6408-5523",{"name":224,"orcid":225},"Nicolas Welfer Kirinus","https:\u002F\u002Forcid.org\u002F0009-0003-5260-3161",{"name":227,"orcid":228},"Crislaine Sartori Suzana Milan","https:\u002F\u002Forcid.org\u002F0000-0003-0562-7286",{"name":230,"orcid":231},"Jayme Garcia Arnal Barbedo","https:\u002F\u002Forcid.org\u002F0000-0002-1156-8270",{"name":233,"orcid":234},"Douglas Lau","https:\u002F\u002Forcid.org\u002F0000-0001-8648-0102",{"name":236,"orcid":237},"Rafael Rieder","https:\u002F\u002Forcid.org\u002F0000-0002-7435-9054",{"tldr":239,"method":240,"finding":241,"direction":94,"opportunity":242},"巴西昆虫调查平台整合计算机视觉、田间试验与种群建模，实现害虫实时监测与治理。","构建BIS网络平台，集成InsectCV\u002FAphidCV图像识别、TrapSys","AI昆虫检测与种群动态建模结合可降低蚜虫侵害并保护作物产量。","可探索多害虫跨区域监测数据标准化与模型迁移，构建开放植保决策生态。","2026-09-24T23:30:25.977846Z",{"id":245,"title":246,"url":247,"summary":248,"summary_zh":249,"content":8,"source_name":250,"source_url":247,"published_at":11,"category":46,"cover_url":8,"hotness":13,"is_selected":14,"score":251,"score_detail":252,"sources":255,"tags":257,"search_phrases":261,"slug":264,"view_count":34,"doi":265,"paper":266,"created_at":288},3360,"Quantum Machine Learning for Hyperspectral Soil Nutrient Estimation in Precision Agriculture: A Review and Roadmap","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fagriculture16192069","Accurate soil nutrient estimation underpins fertility assessment, precision agriculture, and sustainable land management, yet conventional laboratory analysis is slow, costly, and impractical at scale. Hyperspectral imaging (HSI) captures detailed spectral signatures linked to soil properties, but its high dimensionality and limited ground truth samples strain classical machine learning. This review examines quantum machine learning (QML) as an emerging rather than established direction for high-dimensional, low-sample hyperspectral soil analysis. We outline where classical machine learning and deep learning fall short and then assess how quantum kernel methods, variational quantum circuits, and hybrid quantum–classical architectures might improve feature representation and nonlinear modeling. Of the 150 studies reviewed, 26 report quantum machine learning results of any kind, five use soil data, and only one evaluates soil spectra directly for nutrient or property estimation. The remainder contribute transferable evidence from adjacent soil and remote sensing tasks, together with soil applications that remain proposals. Accordingly, the review weighs both the promise and the practical constraints of QML on current noisy intermediate-scale quantum hardware, including the encoding cost, measurement overhead, circuit depth, and trainability limits. Future research priorities are identified: quantum-ready hyperspectral soil datasets, reproducible benchmarking against well-tuned classical baselines, scalable hybrid pipelines, hardware-aware reporting, and field validation. Pairing QML with hyperspectral soil sensing may eventually support soil fertility assessment, variable-rate fertilization, and sustainable precision agriculture, but any such benefit must be demonstrated experimentally rather than inferred and will depend on continued progress in quantum hardware.","准确的土壤养分估算是肥力评估、精准农业和可持续土地管理的基础，然而传统实验室分析速度慢、成本高，难以大规模应用。高光谱成像（HSI）能够捕获与土壤属性相关的精细光谱特征，但其高维度和有限的真实标注样本给经典机器学习带来了挑战。本综述将量子机器学习（QML）视为面向高维、小样本高光谱土壤分析的一个新兴而非成熟的方向。我们梳理了经典机器学习和深度学习的不足之处，进而评估量子核方法、变分量子电路以及量子—经典混合架构如何可能改进特征表示与非线性建模。在综述的150项研究中，26项报告了某种形式的量子机器学习结果，5项使用了土壤数据，仅1项直接评估土壤光谱以估算养分或属性。其余研究提供了来自相邻土壤和遥感任务的可迁移证据，以及仍处于提案阶段的土壤应用。据此，本综述权衡了QML在当前含噪中等规模量子硬件上的前景与实际约束，包括编码成本、测量开销、电路深度和可训练性限制。未来研究重点包括：量子就绪的高光谱土壤数据集、针对精心调优的经典基线的可复现基准测试、可扩展的混合流程、硬件感知的报告以及田间验证。将QML与高光谱土壤传感相结合，最终可能支持土壤肥力评估、变量施肥和可持续精准农业，但任何此类收益都必须通过实验证明而非推断，并将取决于量子硬件的持续进步。","Agriculture",77,{"impact":17,"substance":253,"depth":49,"authority":51,"freshness":19,"relevant":20,"comment":254},21,"系统梳理量子机器学习用于高光谱土壤养分估算的现状与路线图，指出仅1项研究直接验证土壤光谱，兼具前沿性与现实约束，值得进入每日精选。",[256],{"name":250,"url":247},[25,112,258,259,260],"高光谱遥感","土壤养分","量子计算",[262,263],"量子机器学习 高光谱 土壤养分","精准农业 变量施肥 土壤肥力","量子机器学习高光谱土壤养分-3360","10.3390\u002Fagriculture16192069",{"doi":265,"openalex_id":267,"authors":268,"venue":250,"cited_by_count":34,"oa_url":247,"card":282,"direction":286,"ingested_from":97},"W7214101561",[269,272,274,277,280],{"name":270,"orcid":271},"Dristi Datta","https:\u002F\u002Forcid.org\u002F0000-0002-9426-9750",{"name":273,"orcid":8},"Dipti Biswas",{"name":275,"orcid":276},"Uttam Sinha Mahapatra","https:\u002F\u002Forcid.org\u002F0009-0001-0619-0381",{"name":278,"orcid":279},"Manoranjan Paul","https:\u002F\u002Forcid.org\u002F0000-0001-6870-5056",{"name":281,"orcid":8},"Davina White",{"tldr":283,"method":284,"finding":285,"direction":286,"opportunity":287},"综述量子机器学习用于高光谱土壤养分估算，指出其尚处早期并给出研究路线图。","综述150项研究，评估量子核方法、变分量子电路与混合量子-经典架构。","仅1项研究直接评估土壤光谱养分估算，QML优势尚未实验证实。","农业遥感与作物表型","构建量子就绪高光谱土壤数据集，并与调优经典基线做可复现基准对比。","2026-09-24T23:30:20.797372Z",{"id":290,"title":291,"url":292,"summary":293,"summary_zh":294,"content":8,"source_name":148,"source_url":292,"published_at":11,"category":46,"cover_url":8,"hotness":13,"is_selected":14,"score":295,"score_detail":296,"sources":300,"tags":302,"search_phrases":306,"slug":309,"view_count":34,"doi":310,"paper":311,"created_at":338},3358,"One Toolchain, Six Domains: A Multiple-Case, Document-Based Study of Rapid IoT Prototypes Built in a One-Week Immersive Course on a Master’s Program in Applied Artificial Intelligence","https:\u002F\u002Fdoi.org\u002F10.20944\u002Fpreprints202609.2011.v1","This paper reports a document-based, multiple-case study of six Internet-of-Things (IoT) prototypes designed and simulated during a one-week immersive course, “IoT for Data Intelligence,” delivered in July 2026 within the professional Master in Applied Artificial Intelligence (Maestría en Inteligencia Artificial Aplicada, MNA) at Tecnológico de Monterrey. Six teams followed the same five-day toolchain IoT theory; Oracle Application Express (APEX), SQL, and REST service design; MIT App Inventor; ESP32\u002FWokwi simulation; and generative-AI integration and produced Wokwi-simulated prototypes spanning industrial energy monitoring, agricultural hazard response, residential automation, cardiovascular telemonitoring, industrial waste reduction, and precision agriculture. A fixed coding framework was applied across architecture, AI-integration pattern, platform-level failure modes, security debt, and Sustainable Development Goal alignment, distinguishing findings that the course structure itself prescribes from findings the teams introduced independently. The six cases converged on a shared five-layer architecture and, in a pattern only partly prescribed by the course, on keeping generative AI in an advisory or fail-safe-wrapped role. Deposited results were also compared, for illustrative purposes only, against the course’s internal competency rubric. An observed proposal from a Pontifical Catholic University of Chile’s collaboration is discussed as an informal reference point rather than as evidence for generalization. This paper discusses the implications and limits of this small, single-institution, single-cohort, simulation-only case set.","本文报告了一项基于文档的多案例研究，研究对象为六项物联网（Internet of Things, IoT）原型，这些原型是在2026年7月于蒙特雷理工学院（Tecnológico de Monterrey）应用人工智能专业硕士（Maestría en Inteligencia Artificial Aplicada, MNA）项目内开设的一周沉浸式课程“面向数据智能的物联网”（IoT for Data Intelligence）中设计与仿真的。六个团队遵循了相同的五日工具链——物联网理论；Oracle Application Express（APEX）、SQL与REST服务设计；MIT App Inventor；ESP32\u002FWokwi仿真；以及生成式AI集成——并产出了基于Wokwi仿真的原型，涵盖工业能源监测、农业灾害响应、住宅自动化、心血管远程监护、工业减废和精准农业。研究采用固定编码框架，从架构、AI集成模式、平台级失效模式、安全债务和可持续发展目标对齐五个维度进行分析，并区分了课程结构本身所规定的发现与各团队独立引入的发现。六个案例收敛于一个共享的五层架构，并在一种仅部分由课程规定的模式中，将生成式AI保持在顾问性或故障安全包裹的角色中。所提交的成果还仅出于示例目的与课程内部能力量规进行了比较。智利天主教大学一项合作中提出的方案作为非正式参照点加以讨论，而非作为可推广的证据。本文讨论了这一小型、单一机构、单一批次、仅仿真案例集的启示与局限。",50,{"impact":37,"substance":17,"depth":297,"authority":298,"freshness":19,"relevant":20,"comment":299},15,4,"单校单期小样本的预印本教学案例研究，含农业物联网原型与生成式AI集成经验，但样本与仿真局限明显，公共价值有限。",[301],{"name":148,"url":292},[25,112,303,304,305],"农业物联网","精准农业","农业教育",[307,308],"Tecnológico de Monterrey 物联网 课程","ESP32 Wokwi 农业物联网 原型","TecnológicodeMonterrey物联网课程-3358","10.20944\u002Fpreprints202609.2011.v1",{"doi":310,"openalex_id":312,"authors":313,"venue":148,"cited_by_count":34,"oa_url":292,"card":332,"direction":94,"ingested_from":97},"W7214071608",[314,317,320,323,326,329],{"name":315,"orcid":316},"Antonio Carlos Bento","https:\u002F\u002Forcid.org\u002F0000-0001-8264-4771",{"name":318,"orcid":319},"Alexandro Ortiz","https:\u002F\u002Forcid.org\u002F0000-0002-3945-6908",{"name":321,"orcid":322},"Grettel Barceló-Alonso","https:\u002F\u002Forcid.org\u002F0009-0004-3373-6441",{"name":324,"orcid":325},"Jose Reinaldo Silva","https:\u002F\u002Forcid.org\u002F0000-0003-2796-1613",{"name":327,"orcid":328},"Luis E. Falcón-Morales","https:\u002F\u002Forcid.org\u002F0000-0001-8760-5640",{"name":330,"orcid":331},"Sérgio Camacho-León","https:\u002F\u002Forcid.org\u002F0000-0002-5996-9997",{"tldr":333,"method":334,"finding":335,"direction":336,"opportunity":337},"基于六组一周IoT课程原型文档，分析其架构、AI集成与安全模式。","文档多案例研究，固定编码框架，Wokwi仿真与生成式AI集成。","六案例收敛于五层架构，生成式AI多限于建议或故障保护角色。","其他","可探究仿真原型向真实农田部署时，安全债务与AI角色如何演变。","2026-09-24T23:30:13.353443Z"]