[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1838":3,"related-1838":65},{"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":30,"secondary_topics":36,"classification":37,"search_phrases":59,"slug":62,"view_count":63,"doi":8,"paper":8,"created_at":64},1838,"秋粮主产区分类施策 全力夺取丰收（《新闻联播》《中国政府网》2026-09-03）","https:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fyaowen\u002Fliebiao\u002F202609\u002Fcontent_7080093.htm","农业农村部最新农情调度显示，2026年全国秋粮播种面积预计稳中略增，大部分秋粮长势良好。山东推广水肥一体化930万亩，全国水肥一体化应用面积在2025年8800万亩基础上持续增加；黑龙江宝清县推行65厘米小垄拓宽为110厘米大垄；河南中部农田受灾地区用好9190万元中央农业生产救灾资金并派出6个专家组；漯河运用多光谱无人机开展飞防。",null,"[![Image 1](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fimages\u002Fgtrs_logo_lt.png)![Image 2](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fimages\u002Fgtrs_logo_rt.png)](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002F)\n\n*   [首頁](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002F)\n*   |\n*   [簡](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fyaowen\u002F)\n*   |\n*   [繁](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002F)\n*   |\n*   [EN](http:\u002F\u002Fenglish.www.gov.cn\u002F)\n*   |\n*   [登錄](javascript:void(0);)\n*   [](javascript:void(0);)\n    *   [個人中心](javascript:void(0);)\n    *   [退出](javascript:void(0);)\n\n*   |\n*   [郵箱](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fmail.www.gov.cn\u002Fnsmail\u002Findex.html)\n*   |\n*   [無障礙](javascript:;)\n\n[![Image 3](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fimages\u002Fnewlogo19ysp_lt.png)![Image 4](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fimages\u002Fnewlogo19ysp_rt.png)](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002F)[EN](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fenglish.www.gov.cn\u002F)[![Image 5](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fimages\u002Fgtrs_newsearch.png)![Image 6](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fimages\u002Fgtrs_newshouqi.png)](javascript:;)\n\nhttps:\u002F\u002Fwww.gov.cn\u002F\n\n# 秋糧主産區分類施策 全力奪取豐收\n\n 2026-09-03 15:40 來源： 央視網 \n\n字號：默認 大 超大|打印|\n\n[](https:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fyaowen\u002Fliebiao\u002F202609\u002Fcontent_7080093.htm \"新浪微博\")[](https:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fyaowen\u002Fliebiao\u002F202609\u002Fcontent_7080093.htm \"微信\")[](https:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fyaowen\u002Fliebiao\u002F202609\u002Fcontent_7080093.htm \"qq空間\")\n\n眼下，全國大部分秋糧正值灌漿期，主産區分類施策，加強田間管理，全力奪取豐收。\n\n農業農村部最新農情調度顯示，今年，全國秋糧播種面積預計穩中略增。目前，除局部地區受災外，大部分秋糧長勢良好。\n\n今年，山東大力推廣水肥一體化技術，面積達到930萬畝，增産趨勢明顯。\n\n作為糧油作物大面積單産提升的關鍵舉措，全國水肥一體化應用面積在去年達到8800萬畝的基礎上，今年持續增加。\n\n在黑龍江寶清縣，65厘米的小壟拓寬成了110厘米的大壟，不僅種得更多，分佈也更均勻。光、熱、水、肥利用率同步提升，作物長勢明顯優於周邊地塊。\n\n受前期降雨影響，河南中部部分農田受災。當地在用好9190萬元中央農業生産救災資金的基礎上，派出6個專家組指導農田恢復生産。在漯河，搭載高清成像的多光譜無人機對受災地塊進行了智慧“體檢”，隨後開展無人機飛防預防病蟲害滋生擴散。\n\n目前，距離全國秋糧大面積收穫還有不到一個月的時間，受颱風多發以及高溫高濕天氣的影響，南方水稻主産區、黃淮海主産區病蟲害發生風險增加，農業農村部指導各地做好病蟲害防治，並採取葉面噴施等防災減災穩産增産技術，全力以赴確保秋糧安全成熟。\n\n[【我要糾錯】](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Ffuwu\u002Fjiucuo.htm)責任編輯：潮孌\n\n相關稿件\n\n*   鏈結：\n*   [全國人大](http:\u002F\u002Fwww.npc.gov.cn\u002F)\n*   |\n*   [全國政協](http:\u002F\u002Fwww.cppcc.gov.cn\u002F)\n*   |\n*   [國家監察委員會](http:\u002F\u002Fwww.ccdi.gov.cn\u002F)\n*   |\n*   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[郵箱](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fmail.www.gov.cn\u002Fnsmail\u002Findex.html)\n\n*   ![Image 14](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fimages\u002FuserImg.png)[](javascript:;)\n*   [退出](javascript:;)\n*   [註冊](javascript:;)\n*   [登錄](javascript:;)\n*   [網站糾錯](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Ffuwu\u002Fjiucuopage.html)\n\n[![Image 15](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fimages\u002Fgtrs_red.png)](http:\u002F\u002Fbszs.conac.cn\u002Fsitename?method=show&id=081D1D6883441A53E053012819AC0DAA)\n\n主辦單位：國務院辦公廳 運行維護單位：中國政府網運行中心\n\n版權所有：中國政府網 中文域名：中国政府网.政务\n\n網站標識碼bm01000001\n\n京ICP備05070218號 京公網安備11010202000001號\n\n秋糧主産區分類施策 全力奪取豐收\n\n眼下，全國大部分秋糧正值灌漿期，主産區分類施策，加強田間管理，全力奪取豐收。\n\n![Image 16](http:\u002F\u002Fbig5.www.gov.cn\u002Fgate\u002Fbig5\u002Fwww.gov.cn\u002Fimages\u002F150.jpg)","《中国政府网》2026年09月03日","2026-09-03T12:00:00Z","报道",10,false,80,{"impact":17,"substance":18,"depth":19,"authority":19,"freshness":20,"relevant":21,"comment":22},25,20,15,5,1,"全国秋粮主产区分类施策，推广水肥一体化等关键技术，确保丰收，具有全国性影响和实质信息。",[24],{"name":10,"url":6},[26,27,28,29],"防灾减灾","秋粮生产","水肥一体化","田间管理",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",[],{"status":38,"locked":14,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":45},[43,49,54],{"code":31,"score":44,"supported":45,"title":46,"abstract":47,"tags":48},4,true,[],[28],[28],{"code":50,"score":21,"supported":14,"title":51,"abstract":52,"tags":53},"H7",[],[],[26],{"code":55,"score":21,"supported":14,"title":56,"abstract":57,"tags":58},"J4",[],[],[27],[60,61],"水肥一体化 田间管理 秋粮生产 防灾减灾","水肥一体化 田间管理","水肥一体化田间管理秋粮生产防灾减灾-1838",2,"2026-09-08T00:07:10.981842Z",{"total":66,"page":21,"page_size":66,"items":67},6,[68,118,160,216,297,355],{"id":69,"title":70,"url":71,"summary":72,"summary_zh":8,"content":73,"source_name":74,"source_url":8,"published_at":75,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":76,"score_detail":77,"sources":80,"tags":82,"primary_topic":84,"secondary_topics":85,"classification":86,"search_phrases":113,"slug":116,"view_count":63,"doi":8,"paper":8,"created_at":117},1839,"秋粮主产区打好田间管理组合拳 分类施策全力以赴确保粮食丰产归仓","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7681217168805052943\u002F","山东德州天衢新区赵虎镇1300亩玉米田铺设毛细血管般密集滴灌带，应用水肥一体化节水节肥均30%，预计亩均增产300斤；河南中部农田在9190万元救灾资金支撑下运用多光谱无人机进行智能体检和飞防；财政部和农业农村部已下达农业生产防灾救灾资金20.37亿元支持一喷多促。","## 秋粮主产区打好田间管理“组合拳” 分类施策全力以赴确保粮食丰产归仓\n\n2026-09-03 16:05·[北青网](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAkBInTefEXGPcS0avMIcyzcyDIb8T8hL6gUlrrWDJxIw\u002F?source=tuwen_detail)\n\n央视网消息：眼下，全国大部分秋粮正值灌浆期，主产区分类施策，加强田间管理，全力夺取丰收。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F65a56d2a6a6b4e34b08e7aea1684de39~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1789430857&x-signature=zP8NhPM%2B5KRq0Fsi%2BUZYNgzfw6A%3D)\n农业农村部最新农情调度显示，2026年，全国秋粮播种面积预计稳中略增。目前，除局部地区受灾外，大部分秋粮长势良好。 在山东德州天衢新区赵虎镇的高标准农田里，这片1300亩的玉米田里铺设着如毛细血管般密集的黑色滴灌带，在手机App上点开开关，滴灌带可以精准地将水肥送到玉米根系。 2026年，山东大力推广水肥一体化技术，面积达到930万亩，增产趋势明显。 山东省德州市天衢新区赵虎镇种植户刘杰超介绍，他们应用水肥一体化，节水节肥都在30%，预计产量每亩会增加300斤，整体收益大概会多收入39万元。 作为粮油作物大面积单产提升的关键举措，全国水肥一体化应用面积，在2025年达到8800万亩的基础上，2026年持续增加。\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fbed4b5aa6d903868be667ba1c533bd7e~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1789430857&x-signature=AkUhh%2Ffb4JUI87EPkj7z2nxvgns%3D)\n在黑龙江宝清县，65厘米的小垄拓宽成了110厘米的大垄，不仅种得更多，分布也更均匀，光、热、水、肥利用率同步提升，作物长势明显优于周边地块。 黑龙江省双鸭山市宝清县五九七农场有限公司农业发展部副部长李龙介绍，这块地每亩播量是6000株，保苗率在97%以上。 受前期降雨影响，河南中部部分农田受灾。当地在用好9190万元中央农业生产救灾资金的基础上，派出6个专家组指导农田恢复生产。在漯河，搭载高清成像的多光谱无 人机，对受灾地块进行了智能“体检”，随后开展无 人机飞防预防病虫害滋生扩散。\n\n![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fed7be700bf580f06660201a6cec4ae8c~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1789430857&x-signature=2Z5OzHZB9y%2FbccgnAd0pFkL6ufU%3D)\n目前，距离全国秋粮大面积收获还有不到一个月的时间。受台风多发以及高温高湿天气的影响，南方水稻主产区、黄淮海主产区病虫害发生风险增加，农业农村部指导各地做好病虫害防治，并采取叶面喷施等防灾减灾稳产增产技术，全力以赴确保秋粮安全成熟。","央视网\u002F北青网 2026-09-03","2026-09-03T08:05:00Z",77,{"impact":17,"substance":18,"depth":19,"authority":78,"freshness":20,"relevant":21,"comment":79},12,"全国秋粮主产区田间管理综合报道，涵盖水肥一体化、大垄密植等增产技术，数据详实，来源权威，时效性稍差。",[81],{"name":74,"url":71},[83,26,27,28,29],"智慧农业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":87},{"candidates":88,"agricultural_evidence":45},[89,93,100,104,109],{"code":31,"score":44,"supported":45,"title":90,"abstract":91,"tags":92},[],[28],[28],{"code":94,"score":95,"supported":45,"title":96,"abstract":97,"tags":99},"A3",3,[],[98],"玉米",[],{"code":50,"score":21,"supported":14,"title":101,"abstract":102,"tags":103},[],[],[26],{"code":105,"score":21,"supported":14,"title":106,"abstract":107,"tags":108},"I1",[],[],[83],{"code":55,"score":21,"supported":14,"title":110,"abstract":111,"tags":112},[],[],[27],[114,115],"水肥一体化 智慧农业 田间管理 秋粮生产","水肥一体化 智慧农业","水肥一体化智慧农业田间管理秋粮生产-1839","2026-09-08T00:07:11.044134Z",{"id":119,"title":120,"url":121,"summary":122,"summary_zh":8,"content":123,"source_name":124,"source_url":8,"published_at":125,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":126,"score_detail":127,"sources":129,"tags":131,"primary_topic":133,"secondary_topics":134,"classification":135,"search_phrases":155,"slug":158,"view_count":21,"doi":8,"paper":8,"created_at":159},1782,"秋粮主产区分类施策 全力夺取丰收——CCTV《新闻联播》9月2日报道","https:\u002F\u002Fnews.cctv.com\u002F2026\u002F09\u002F02\u002FARTI6Xkpawf9cLV328rm4gSZ260902.shtml","央视《新闻联播》报道：山东大力推广水肥一体化技术，面积达930万亩；全国水肥一体化应用面积在去年达8800万亩的基础上今年持续增加。黑龙江宝清县将65厘米小垄拓宽为110厘米大垄。河南中部部分农田受灾，在用好9190万元中央农业生产救灾资金基础上派出6个专家组下沉指导，漯河搭载多光谱成像的无人机对受灾地块进行\"体检\"并飞防病虫害。","[首页](https:\u002F\u002Fwww.cctv.com\u002F)\n\n[时政](javascript:;)\n\n[新闻](https:\u002F\u002Fnews.cctv.com\u002F)\n\n[评论](https:\u002F\u002Fopinion.cctv.com\u002F)\n\n[视频](https:\u002F\u002Fv.cctv.com\u002F)\n\n[财经](https:\u002F\u002Ffinance.cctv.com\u002Findex.shtml)\n\n[体育](https:\u002F\u002Fsports.cctv.com\u002F)\n\n[教育](https:\u002F\u002Fedu.cctv.com\u002F)\n\n[熊猫](https:\u002F\u002Fwww.ipanda.com\u002F)\n\n[直播中国](https:\u002F\u002Flivechina.cctv.com\u002F)\n\n[4K](https:\u002F\u002Ftv.cctv.com\u002F4K\u002Findex.shtml)\n\n[CCTV.直播](https:\u002F\u002Ftv.cctv.com\u002Findex.shtml)\n\n[中](https:\u002F\u002Fwww.cctv.com\u002Findex.shtml)\n\n[](https:\u002F\u002Faigc.cctv.com\u002Findex.shtml 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20:11:58\n\n###### 原标题：\n\n正在加载\n\n**央视网消息**（新闻联播）：眼下，全国大部分秋粮正值灌浆期，主产区分类施策，加强田间管理，全力夺取丰收。\n\n![Image 50](https:\u002F\u002Fp5.img.cctvpic.com\u002Fphotoworkspace\u002Fcontentimg\u002F2026\u002F09\u002F02\u002F2026090220092333398.jpg)\n\n农业农村部最新农情调度显示，今年，全国秋粮播种面积预计稳中略增。目前，除局部地区受灾外，大部分秋粮长势良好。\n\n今年，山东大力推广水肥一体化技术，面积达到930万亩，增产趋势明显。\n\n作为粮油作物大面积单产提升的关键举措，全国水肥一体化应用面积在去年达到8800万亩的基础上，今年持续增加。\n\n![Image 51](https:\u002F\u002Fp2.img.cctvpic.com\u002Fphotoworkspace\u002Fcontentimg\u002F2026\u002F09\u002F02\u002F2026090220111530550.jpg)\n\n在黑龙江宝清县，65厘米的小垄拓宽成了110厘米的大垄，不仅种得更多，分布也更均匀。光、热、水、肥利用率同步提升，作物长势明显优于周边地块。\n\n受前期降雨影响，河南中部部分农田受灾。当地在用好9190万元中央农业生产救灾资金的基础上，派出6个专家组指导农田恢复生产。在漯河，搭载高清成像的多光谱无人机对受灾地块进行了智能“体检”，随后开展无人机飞防预防病虫害滋生扩散。\n\n![Image 52](https:\u002F\u002Fnews.cctv.com\u002F2026\u002F09\u002F02\u002FARTI6Xkpawf9cLV328rm4gSZ260902.shtml)\n\n目前，距离全国秋粮大面积收获还有不到一个月的时间，受台风多发以及高温高湿天气的影响，南方水稻主产区、黄淮海主产区病虫害发生风险增加，农业农村部指导各地做好病虫害防治，并采取叶面喷施等防灾减灾稳产增产技术，全力以赴确保秋粮安全成熟。\n\n编辑：邢斯馨 责任编辑：刘亮\n\n*   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[近半个世纪过去，彼得·威尔逊仍清晰记得，当年在墨尔本首次观看福建木偶剧团赴澳演出时内心的震撼。“真是非常奇妙！”这位澳大利亚知名导演、编剧、木偶艺术家不禁感慨。](https:\u002F\u002Fnews.cctv.com\u002F2026\u002F09\u002F07\u002FARTIADQFrXIPOrvlihXahhpc260907.shtml) 2026-09-06 23:27[十二生肖](https:\u002F\u002Fsearch.cctv.com\u002Fsearch.php?qtext=%E5%8D%81%E4%BA%8C%E7%94%9F%E8%82%96)[导演](https:\u002F\u002Fsearch.cctv.com\u002Fsearch.php?qtext=%E5%AF%BC%E6%BC%94)[中国儿童艺术剧院](https:\u002F\u002Fsearch.cctv.com\u002Fsearch.php?qtext=%E4%B8%AD%E5%9B%BD%E5%84%BF%E7%AB%A5%E8%89%BA%E6%9C%AF%E5%89%A7%E9%99%A2)   \n*   [![Image 57](https:\u002F\u002Fp1.img.cctvpic.com\u002Fphotoworkspace\u002F2026\u002F09\u002F07\u002F2026090707134557317.jpg)](https:\u002F\u002Fnews.cctv.com\u002F2026\u002F09\u002F07\u002FARTIaxRhhQvKeArpg9KqEsNL260907.shtml) [量子科技如何从实验室飞向“寻常百姓家”？](https:\u002F\u002Fnews.cctv.com\u002F2026\u002F09\u002F07\u002FARTIaxRhhQvKeArpg9KqEsNL260907.shtml) 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","央视网2026年9月2日","2026-09-02T12:00:00Z",72,{"impact":17,"substance":19,"depth":78,"authority":19,"freshness":20,"relevant":21,"comment":128},"央视报道秋粮主产区分类施策，强调防灾减灾与科技支撑，具有全国性指导意义。",[130],{"name":124,"url":121},[132,26,27,28],"粮食安全",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":136},{"candidates":137,"agricultural_evidence":45},[138,142,147,151],{"code":31,"score":44,"supported":45,"title":139,"abstract":140,"tags":141},[],[28],[28],{"code":143,"score":21,"supported":14,"title":144,"abstract":145,"tags":146},"A8",[],[],[132],{"code":50,"score":21,"supported":14,"title":148,"abstract":149,"tags":150},[],[],[26],{"code":55,"score":21,"supported":14,"title":152,"abstract":153,"tags":154},[],[],[27],[156,157],"水肥一体化 秋粮生产 粮食安全 防灾减灾","水肥一体化 秋粮生产","水肥一体化秋粮生产粮食安全防灾减灾-1782","2026-09-07T00:04:37.274763Z",{"id":161,"title":162,"url":163,"summary":164,"summary_zh":8,"content":165,"source_name":166,"source_url":8,"published_at":167,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":168,"score_detail":169,"sources":173,"tags":175,"primary_topic":180,"secondary_topics":181,"classification":182,"search_phrases":210,"slug":213,"view_count":214,"doi":8,"paper":8,"created_at":215},4774,"桦川专家田间把脉测产 农技培训精准高效","https:\u002F\u002Fhlj.cnr.cn\u002Fdsdt\u002F20261012\u002Ft20261012_527839996.shtml","10月11日至12日,中国农业科学院与黑龙江省农业科学院专家团队赴佳木斯桦川县开展主粮作物密植高产精准调控关键技术田间课堂培训。专家实地采集玉米、大豆水肥一体化滴灌、大垄密植等核心技术的测产数据。桦川县自2019年起与中国农科院开展深度院县共建合作,精准变量施肥等成果入选全国典型。","![Image 2](https:\u002F\u002Fwww.cnr.cn\u002F2021\u002Fshare20210521.png)\n\n[](https:\u002F\u002Fwww.cnr.cn\u002F)[](https:\u002F\u002Fm.cnr.cn\u002F)\n\n*   [首页](https:\u002F\u002Fwww.cnr.cn\u002F)\n*   [时政](https:\u002F\u002Fwww.cnr.cn\u002Fsyk\u002F)\n*   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[深圳](https:\u002F\u002Fsz.cnr.cn\u002F)\n\n[首页](https:\u002F\u002Fwww.cnr.cn\u002F)>[黑龙江频道](https:\u002F\u002Fhlj.cnr.cn\u002F)>[地市资讯](https:\u002F\u002Fhlj.cnr.cn\u002Fdsdt\u002F)\n\n# 桦川：专家田间“把脉测产” 农技培训精准高效\n\n2026-10-12 22:02:10 来源：央广网\n\n[](https:\u002F\u002Fnews.cnr.cn\u002Fspecial\u002Fnewsapp\u002Findex.html)\n\n[](javascript: void(0); \"分享到微信\")[](javascript: void(0); \"分享到新浪微博\")[](javascript: void(0); \"分享到QQ空间\")\n\n[Audio 2](https:\u002F\u002Fhlj.cnr.cn\u002Fdsdt\u002F20261012\u002Ft20261012_527839996.shtml)\n\n“水肥滴灌时机抓准了，玉米大豆才能既省肥又增产，大垄密植不是简单把苗种密，配套管理一定要跟上。”10月11日至12日，主粮作物密植高产精准调控关键技术田间课堂培训会在佳木斯市桦川县举办。来自中国农业科学院、黑龙江省农业科学院的专家团队深入田间地头，面对面授课、手把手指导，把农技课堂搬到玉米大豆地块里，让科研成果直面种粮农户。\n\n![Image 3](https:\u002F\u002Fmediabluk.cnr.cn\u002Fimg\u002Fcnr\u002FCNRCDP\u002F2026\u002F1012\u002F71d560b4c3274d4899273fdd4968707110.png?auth=7923e4006ce070c024349b489e42de08&scale=1.33)\n\n培训现场（桦川县委宣传部供图）\n\n本次培训会吸引了10多位来自中国农业科学院、黑龙江省农业科学院的科研专家，还有50多位本地种粮大户、合作社农户齐聚现场。培训立足桦川本地种植实际，围绕玉米、大豆水肥一体化滴灌、大垄密植等核心技术开展现场教学。没有晦涩的专业术语讲解，专家用老百姓听得懂的语言，结合农作物的长势存在的问题，拆解技术要点，解答农户在日常种植中遇到的施肥、灌溉、田间管护难题，通俗易懂的讲解让在场农户听得明白、记得住。\n\n理论培训结束后，专家组一行来到专家示范田，开展现场实收实测，实地采集测产数据。收割、去杂、称重、测含水量，计算单产，高效衔接。实打实的产量数据，直观展现密植高产精准调控技术的应用成效，让农户亲眼看见新技术带来的增产潜力。\n\n桦川县自2019年起与中国农科院开展深度院县共建合作。多年来，科研团队持续扎根桦川田间，常态化开展优良品种试验、新技术落地推广和全程农技指导，四双工程的开展，促进粮食大面积单产提升，为县域农业转型升级注入强劲科创动力。其中，精准变量施肥技术，便是院县共建的典型成果。专家团队针对玉米和大豆生长多个关键节点，精准把控水肥变量参数，实现精细化、科学化田间管理，有效减少农资投入、降低种植成本，同时显著提升粮食产量和品质，为本地绿色高效种植树立了标杆。\n\n“以前种地凭经验，现在跟着专家学技术，种地也讲究精细化管理。”现场一位合作社社员感慨，新技术落地田间，不仅让农户学到实打实的种田本事，更看到粮食增产增收的新路径。（来源：桦川县委宣传部）\n\n编辑:庞淼\n\n更多精彩资讯请在应用市场下载“央广网”客户端。欢迎提供新闻线索，24小时报料热线400-800-0088；消费者也可通过央广网“啄木鸟消费者投诉平台”线上投诉。版权声明：本文章版权归属央广网所有，未经授权不得转载。转载请联系：cnrbanquan@cnr.cn，不尊重原创的行为我们将追究责任。\n\n[热榜](https:\u002F\u002Fhlj.cnr.cn\u002Fdsdt\u002F20261012\u002Ft20261012_527839996.shtml)\n\n* 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中国新质造·国品崛起](https:\u002F\u002Fwww.cnr.cn\u002Fzhuanti\u002Fnews\u002F20251027\u002FW020251229700484009039.jpg)](https:\u002F\u002Fauto.cnr.cn\u002Frdzt\u002Fzgxzz\u002F)\n\n[![Image 8](https:\u002F\u002Fwww.cnr.cn\u002Ferwen\u002Fewtp\u002F20211206\u002FW020250402495151844326.jpg)](http:\u002F\u002Fwww.cnr.cn\u002Ferwen\u002F)\n\n[](https:\u002F\u002Fwww.cnr.cn\u002Fyanjian\u002F)\n\n[](javascript: void(0);)\n\n[![Image 9](https:\u002F\u002Fmediabluk.cnr.cn\u002Fimg\u002Fcnr\u002FCNRCDP\u002F2026\u002F1012\u002Fcd92d8c7cee34acc981db6c159bf3b0c10.jpg?auth=bd5e5884f29ebf6187116c15826e06fa?width=1000)非法收受财物4364万余元 胡幼桃一审被判十三年](https:\u002F\u002Fwww.cnr.cn\u002Fyanjian\u002Fyanjian3.html?id=30945856&type=2&title=%E9%9D%9E%E6%B3%95%E6%94%B6%E5%8F%97%E8%B4%A2%E7%89%A94364%E4%B8%87%E4%BD%99%E5%85%83%20%E8%83%A1%E5%B9%BC%E6%A1%83%E4%B8%80%E5%AE%A1%E8%A2%AB%E5%88%A4%E5%8D%81%E4%B8%89%E5%B9%B4)\n\n[![Image 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logo](https:\u002F\u002Fwww.cnr.cn\u002F2021\u002Fimages\u002Fxwgg.png?v=1)象舞广告](https:\u002F\u002Fwww.cmgadx.com\u002F)\n\n# 桦川：专家田间“把脉测产” 农技培训精准高效\n\n10月11日至12日，主粮作物密植高产精准调控关键技术田间课堂培训会在佳木斯市桦川县举办。\n\n00:00\u002F00:00","央广网黑龙江频道 2026-10-12","2026-10-12T00:00:00Z",59,{"impact":78,"substance":170,"depth":78,"authority":78,"freshness":171,"relevant":21,"comment":172},14,9,"央媒报道的县域院县共建农技落地案例，有现场测产与精准施肥等实质内容，但属地方动态，影响力有限。",[174],{"name":166,"url":163},[176,28,177,178,179],"院县共建","农技培训","密植高产","玉米大豆",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":183},{"candidates":184,"agricultural_evidence":45},[185,191,195,201,205],{"code":31,"score":186,"supported":45,"title":187,"abstract":188,"tags":190},7,[],[189,28],"施肥",[28],{"code":94,"score":44,"supported":45,"title":192,"abstract":193,"tags":194},[],[98],[179],{"code":196,"score":95,"supported":45,"title":197,"abstract":198,"tags":200},"A4",[],[199],"大豆",[],{"code":143,"score":21,"supported":14,"title":202,"abstract":203,"tags":204},[],[],[178],{"code":206,"score":21,"supported":14,"title":207,"abstract":208,"tags":209},"G1",[],[],[177],[211,212],"桦川 院县共建 密植高产","黑龙江农科院 玉米大豆 测产","桦川院县共建密植高产-4774",0,"2026-10-13T00:08:36.091335Z",{"id":217,"title":218,"url":219,"summary":220,"summary_zh":221,"content":8,"source_name":222,"source_url":219,"published_at":223,"category":224,"cover_url":8,"hotness":13,"is_selected":14,"score":225,"score_detail":226,"sources":230,"tags":232,"primary_topic":236,"secondary_topics":237,"classification":238,"search_phrases":274,"slug":277,"view_count":214,"doi":8,"paper":278,"created_at":296},4673,"RESULT ON RENEWABLE ENERGY-BASED SMART FERTIGATION CONTROLLER USING NPK SENSOR","https:\u002F\u002Fijmert.com\u002Findex.php\u002Fijmert\u002Farticle\u002Fview\u002F301","Agriculture needs good control over water, fertilizers, and energy to make crops grow better and help farming stay sustainable. Old ways of using fertilizers usually relied on looking at the fields by hand and sticking to set times, which often led to wrong use of nutrients, unbalanced soil, and using too much fertilizer. Smart fertigation systems help fix these problems by using IoT, soil nutrient sensors, and real-time tracking. This review looked at NPK-based soil checks and IoT-enabled fertigation, especially focusing on monitoring nitrogen, phosphorus, and potassium to make farming more precise. The system used an ESP32 microcontroller, an NPK sensor, a soil moisture sensor, and a DHT11 sensor to constantly monitor soil nutrients and environmental conditions. The data was shown on an LCD screen and sent via Wi-Fi to the Blynk IoT platform for remote viewing. Based on the real-time NPK levels, the right amount of fertilizer was decided, and the correct fertilizer pump was turned on manually. Solar power was added with a solar charge controller and a battery to cut down on using regular electricity and support eco-friendly farming. The studies showed that combining NPK sensors, IoT, fertigation, and renewable energy offers a great way to use fertilizers better, save resources, cut down on manual work, and help make precision agriculture more sustainable.","农业需要对水、肥料和能源进行良好控制，以使作物生长更好并帮助农业保持可持续性。传统的施肥方式通常依赖人工观察田地并遵循固定时间，这往往导致养分使用不当、土壤失衡以及施肥过量。智能水肥一体化系统通过物联网（IoT）、土壤养分传感器和实时追踪帮助解决这些问题。本综述考察了基于氮磷钾（NPK）的土壤检测和物联网支持的水肥一体化，尤其关注对氮、磷、钾的监测，以使农业更加精准。该系统使用ESP32微控制器、NPK传感器、土壤湿度传感器和DHT11传感器持续监测土壤养分和环境条件。数据在LCD屏幕上显示，并通过Wi-Fi发送到Blynk物联网平台进行远程查看。根据实时NPK水平，确定合适的肥料用量，并手动开启正确的肥料泵。系统还加入了太阳能供电，配有太阳能充电控制器和电池，以减少常规电力使用并支持生态友好型农业。研究表明，将NPK传感器、物联网、水肥一体化和可再生能源相结合，为更好地利用肥料、节约资源、减少人工劳动以及帮助精准农业实现更可持续发展提供了一种极佳途径。","International Journal of Mechanical Engineering Research and Technology","2026-10-08T00:00:00Z","论文",54,{"impact":227,"substance":228,"depth":170,"authority":78,"freshness":44,"relevant":21,"comment":229},8,16,"综述性论文，将NPK传感、物联网与光伏供电结合于水肥一体化控制，方法集成有参考价值，但属实验室\u002F综述层面，公共影响有限且时效偏旧。",[231],{"name":222,"url":219},[83,233,28,234,235],"农业物联网","精准灌溉","光伏农业",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":239},{"candidates":240,"agricultural_evidence":45},[241,249,255,262,269],{"code":31,"score":242,"supported":45,"title":243,"abstract":245,"tags":248},18,[244],"fertigation",[189,246,28,247,244],"肥料","fertilizer",[28],{"code":105,"score":186,"supported":45,"title":250,"abstract":251,"tags":254},[],[252,253],"精准农业","precision agriculture",[83],{"code":256,"score":186,"supported":45,"title":257,"abstract":258,"tags":261},"I5",[],[259,260],"物联网","IoT",[233],{"code":263,"score":66,"supported":45,"title":264,"abstract":265,"tags":268},"H2",[],[266,267],"土壤","soil",[],{"code":270,"score":21,"supported":14,"title":271,"abstract":272,"tags":273},"H3",[],[],[234],[275,276],"ESP32 NPK传感器 水肥一体化","太阳能 智能灌溉 控制器","ESP32NPK传感器水肥一体化-4673",{"doi":8,"openalex_id":279,"authors":280,"venue":222,"cited_by_count":214,"oa_url":219,"card":289,"direction":293,"ingested_from":295},"W7221424039",[281,283,285,287],{"name":282,"orcid":8},"Niharika Bodake",{"name":284,"orcid":8},"Akshata Gaurkar",{"name":286,"orcid":8},"Vaishnavi Chavan",{"name":288,"orcid":8},"S. K. Godase",{"tldr":290,"method":291,"finding":292,"direction":293,"opportunity":294},"综述基于NPK传感器、物联网与太阳能的智能水肥一体化控制器，实现精准施肥与远程监控。","ESP32、NPK\u002F土壤湿度\u002FDHT11传感器、Blynk物联网平台与太阳能供电","融合NPK传感、物联网、水肥一体化与可再生能源可优化施肥、节约资源并减少人工。","智慧农业 \u002F 农业物联网","可研究基于实时NPK数据的自动施肥决策算法与闭环控制，替代当前手动开启施肥泵。","openalex","2026-10-11T23:30:16.530895Z",{"id":298,"title":299,"url":300,"summary":301,"summary_zh":302,"content":8,"source_name":222,"source_url":300,"published_at":223,"category":224,"cover_url":8,"hotness":13,"is_selected":14,"score":303,"score_detail":304,"sources":306,"tags":308,"primary_topic":310,"secondary_topics":311,"classification":312,"search_phrases":338,"slug":341,"view_count":63,"doi":8,"paper":342,"created_at":354},4669,"REVIEW ON RENEWABLE ENERGY-BASED SMART FERTIGATION CONTROLLER USING NPK SENSOR","https:\u002F\u002Fijmert.com\u002Findex.php\u002Fijmert\u002Farticle\u002Fview\u002F302","Agriculture will require efficient management of water, fertilizers, and energy to improve crop productivity and support sustainable farming practices. Traditional fertilizer application methods will often depend on manual observation and fixed schedules, which will lead to improper nutrient management, nutrient imbalance, and unnecessary fertilizer usage. Smart fertigation systems will provide an effective approach for addressing these limitations by integrating IoT, soil nutrient sensing, and real-time monitoring technologies. In this review, NPK-based soil monitoring and IoT-enabled fertigation approaches will be studied with emphasis on nitrogen, phosphorus, and potassium monitoring for precision agriculture. The proposed system will use an ESP32 microcontroller, NPK sensor, soil moisture sensor, and DHT11 sensor to monitor soil nutrient and environmental conditions in real time. The collected data will be displayed on an LCD and transmitted through Wi-Fi to the Blynk IoT platform for remote monitoring. Based on real-time NPK readings, the fertilizer requirement will be determined, and the appropriate fertilizer-supply motor will be manually operated. Solar energy will be integrated with a solar charge controller and rechargeable battery to reduce dependence on conventional electricity and support sustainable operation. The reviewed approaches will indicate that the integration of NPK sensors, IoT monitoring, fertigation, and renewable energy will provide a promising solution for improving fertilizer utilization, reducing resource wastage, minimizing manual effort, and supporting sustainable precision agriculture.","农业需要高效管理水、肥料和能源，以提高作物生产力并支持可持续农业实践。传统施肥方法往往依赖人工观察和固定日程，这会导致养分管理不当、养分失衡和不必要的肥料使用。智能水肥一体化系统通过整合物联网（IoT）、土壤养分传感和实时监测技术，为解决这些局限提供了一种有效途径。本文综述了基于氮磷钾（NPK）的土壤监测和物联网水肥一体化方法，重点关注精准农业中的氮、磷、钾监测。所提出的系统将使用ESP32微控制器、NPK传感器、土壤湿度传感器和DHT11传感器实时监测土壤养分和环境条件。采集的数据将显示在LCD上，并通过Wi-Fi传输至Blynk物联网平台进行远程监测。根据实时NPK读数确定肥料需求量，并手动操作相应的供肥电机。将太阳能与太阳能充电控制器和可充电电池集成，以减少对传统电力的依赖并支持可持续运行。综述的方法表明，将NPK传感器、物联网监测、水肥一体化和可再生能源相结合，为提高肥料利用率、减少资源浪费、降低人工投入和支持可持续精准农业提供了一种有前景的解决方案。",46,{"impact":227,"substance":170,"depth":78,"authority":66,"freshness":66,"relevant":21,"comment":305},"综述性论文，提出基于ESP32与NPK传感器的太阳能智能水肥一体化方案，有一定技术参考价值，但属常规技术集成，非重大突破，且期刊权威性一般。",[307],{"name":222,"url":300},[83,259,252,28,309],"可再生能源",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":313},{"candidates":314,"agricultural_evidence":45},[315,320,324,328,332],{"code":31,"score":242,"supported":45,"title":316,"abstract":317,"tags":319},[244],[189,246,28,318,247,244],"养分管理",[28],{"code":105,"score":227,"supported":45,"title":321,"abstract":322,"tags":323},[],[252,253],[83,252],{"code":256,"score":186,"supported":45,"title":325,"abstract":326,"tags":327},[],[259,260],[259],{"code":263,"score":66,"supported":45,"title":329,"abstract":330,"tags":331},[],[266,267],[],{"code":333,"score":95,"supported":45,"title":334,"abstract":335,"tags":337},"H8",[],[336],"可持续农业",[],[339,340],"ESP32 NPK传感器 智能灌溉","太阳能 水肥一体化 控制器","ESP32NPK传感器智能灌溉-4669",{"doi":8,"openalex_id":343,"authors":344,"venue":222,"cited_by_count":214,"oa_url":300,"card":349,"direction":293,"ingested_from":295},"W7221368129",[345,346,347,348],{"name":282,"orcid":8},{"name":284,"orcid":8},{"name":286,"orcid":8},{"name":288,"orcid":8},{"tldr":350,"method":351,"finding":352,"direction":293,"opportunity":353},"综述基于NPK传感器与物联网的可再生能源智能水肥一体化控制器方案。","ESP32、NPK\u002F土壤湿度\u002FDHT11传感器、Blynk平台与太阳能供电。","NPK传感+物联网+水肥一体化+可再生能源可提升肥料利用率并减少浪费。","肥料供给仍靠手动，可研究基于实时NPK的自动决策与闭环变量施肥控制。","2026-10-11T23:30:16.034599Z",{"id":356,"title":357,"url":358,"summary":359,"summary_zh":360,"content":8,"source_name":361,"source_url":358,"published_at":362,"category":224,"cover_url":8,"hotness":13,"is_selected":14,"score":363,"score_detail":364,"sources":366,"tags":368,"primary_topic":372,"secondary_topics":373,"classification":374,"search_phrases":402,"slug":405,"view_count":21,"doi":406,"paper":407,"created_at":422},4559,"Comparative analysis of gradient boosting and random forest regressors for nutrient prediction in smart agriculture","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-74825-5","Accurate estimation of nutrient concentrations can support monitoring in hydroponic systems. This study compares Random Forest Regressor (RFR) and Gradient Boosting Regressor (GBR) for predicting nitrogen, phosphorus, and potassium from pH, electrical conductivity, temperature, and relative humidity in a precompiled agricultural sensor dataset. The framework uses mean imputation, correlation-based feature selection, and ensemble regression. Observations were randomly divided into 80% training and 20% test partitions; preprocessing, feature selection, and grid-search optimization with five-fold cross-validation were confined to the training partition. On the held-out test partition, GBR achieved lower MAE and RMSE and higher R² than RFR for all three nutrients. Unweighted arithmetic means of the reported nutrient-specific test metrics were MAE 3.60 versus 4.06, mean nutrient RMSE 4.22 versus 4.90, and mean nutrient R² 0.89 versus 0.84 for GBR and RFR, respectively. These summaries were calculated from the rounded nutrient-specific entries and are not pooled metrics. The comparison rests on one train–test split without quantified variability because fold-level scores were not retained and repeated-seed evaluations were unavailable. Missing acquisition metadata and unverified nutrient units further limit interpretation. The findings support GBR as a candidate for nutrient estimation within this dataset; external validation and operational evaluation are required before use in automated fertigation.","在水培系统中，准确估算养分浓度有助于实现有效监测。本研究基于一个预编译的农业传感器数据集，比较了随机森林回归器（Random Forest Regressor, RFR）与梯度提升回归器（Gradient Boosting Regressor, GBR）在利用pH、电导率、温度和相对湿度预测氮、磷、钾方面的性能。该框架采用均值插补、基于相关性的特征选择和集成回归。观测数据被随机划分为80%的训练集和20%的测试集；预处理、特征选择以及基于五折交叉验证的网格搜索优化均仅限于训练集内进行。在留出的测试集上，GBR对三种养分的预测均取得了比RFR更低的MAE和RMSE以及更高的R²。对报告中各养分测试指标取未加权算术平均值，GBR和RFR的结果分别为：MAE 3.60对4.06，平均养分RMSE 4.22对4.90，平均养分R² 0.89对0.84。这些汇总值系根据四舍五入后的各养分指标计算得出，并非合并指标。该比较仅基于一次训练-测试划分，且未量化变异性，因为未保留折级评分，也无法进行重复随机种子评估。缺失的采集元数据和未经核实的养分单位进一步限制了结果解读。研究结果表明，在该数据集内GBR可作为养分估算的候选方法；在用于自动化施肥之前，仍需进行外部验证和运行评估。","Scientific Reports","2026-10-09T00:00:00Z",63,{"impact":227,"substance":242,"depth":19,"authority":170,"freshness":227,"relevant":21,"comment":365},"方法对比扎实但仅单次划分、缺乏外部验证，属细分领域技术进展，未达每日精选门槛。",[367],{"name":361,"url":358},[83,369,28,370,371],"机器学习","养分预测","无土栽培",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":14,"version":39,"method":40,"evidence":375},{"candidates":376,"agricultural_evidence":45},[377,382,386,392,397],{"code":105,"score":171,"supported":45,"title":378,"abstract":380,"tags":381},[379],"smart agriculture",[],[83],{"code":31,"score":186,"supported":45,"title":383,"abstract":384,"tags":385},[],[189,244],[28],{"code":387,"score":44,"supported":45,"title":388,"abstract":389,"tags":391},"B7",[],[390],"hydroponic",[371],{"code":256,"score":95,"supported":45,"title":393,"abstract":394,"tags":396},[],[395],"农业传感",[],{"code":398,"score":21,"supported":14,"title":399,"abstract":400,"tags":401},"I2",[],[],[369],[403,404],"随机森林 梯度提升 养分预测","水培 氮磷钾 传感器","随机森林梯度提升养分预测-4559","10.1038\u002Fs41598-026-74825-5",{"doi":406,"openalex_id":408,"authors":409,"venue":361,"cited_by_count":214,"oa_url":358,"card":417,"direction":293,"ingested_from":295},"W7221072509",[410,413,415],{"name":411,"orcid":412},"Shaista Farhat","https:\u002F\u002Forcid.org\u002F0009-0008-9348-8370",{"name":414,"orcid":8},"Dr. Chokka Anuradha",{"name":416,"orcid":8},"Dawit Tafesse Gebreyohannes",{"tldr":418,"method":419,"finding":420,"direction":293,"opportunity":421},"比较梯度提升与随机森林回归器，用水培传感器数据预测氮磷钾浓度。","预处理、相关性特征选择、网格搜索五折交叉验证，对比GBR与RFR。","GBR在三种养分预测上MAE、RMSE更低、R²更高，但仅单次划分且缺变异量化。","可开展多源传感器融合、重复种子评估与外部验证，提升养分预测稳健性并接入自动施肥。","2026-10-10T23:30:07.557842Z"]