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1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002F12d93550385645579927b82829e5b7e8~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792022866&x-signature=MtVHDXueQJNwxmIMI4ep4noPpeg%3D)\n河西走廊秋风起，永昌县新城子镇刘克庄村的马铃薯田绿浪翻涌。种植大户王泽俊站在地头，掏出手机轻点屏幕，远处出水阀门应声开启。“所有的截止阀、出水阀都是智慧农业，不管在什么地方都可以在手机上操作，省了人力，还省了钱。”王泽俊的话语里，透着新农人的从容与底气。\n\n这幅“手机管农田”的场景，正是永昌县以科技赋能现代农业的生动缩影。近年来，永昌县聚焦“省级乡村振兴样板县”目标，以科技破局、以产业提质、以融合增效，推动农业从“传统种植”向“现代高效”转型，在西北寒旱大地上蹚出一条可复制、可推广的高原现代农业新路。\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F68d73df7424bc320a29aa38fe598247f~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792022866&x-signature=%2BGfPKtrMcnwex6FY%2B7lnY2l%2Fatc%3D)\n**智慧节水**\n\n**让每一滴水都精准抵达根系**\n\n永昌地处河西走廊，蒸发量大、水资源紧缺，节水是农业绕不开的命题。\n\n在新城子镇刘克庄村，由泵房自控、水肥一体化、土壤监测、田间气象监测、物联网传输五大体系构成的智慧农业管理系统，全天候采集“四情”数据，水肥供给按需精准调控，彻底改变了昔日大水漫灌、施肥过量的粗放模式。而在东寨镇双桥村精准化农技创新试点，浅埋滴灌搭配可降解地膜穴播技术，将每亩用水量从常规的280至300立方米压减至200至220立方米，全生育期减少2至3次灌溉，每亩节水80立方米以上。铺设的生物可降解地膜120天后自然分解，收割后无需人工回收，杜绝了农田白色污染。\n\n245亩核心试点配齐北斗导航播种、水肥一体化管网、墒情监测仪和全域监控，单套系统可覆盖千亩耕地，仅需一人即可远程调控。节水与增绿，在这片戈壁灌区实现了统一。\n\n![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F9d756288bb0088de5cc517f6397175b9~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792022866&x-signature=zl4NtRNrjaX8PQ0B5%2BiRCLXUGqs%3D)\n**良种良法**\n\n**把试验田里的答案写进大田**\n\n科技增产，种子是芯片，方法是钥匙。永昌县在小麦种植技术上的探索，正是一条不断迭代、步步升级的路子。\n\n在东寨镇双桥村丰泽园农民种植专业合作社的小麦试验田里，地膜精量穴播、宽幅匀播试验田同步作业，播种机来回穿梭、精准播种。合作社长期钻研小麦种植新技术，从尝试浅埋滴灌小麦技术起步，如今已更新迭代为膜上穴播、膜下滴灌水肥一体化技术。今年采用的生物可降解地膜精量穴播膜下滴灌水肥一体化栽培模式，相比过去技术更加节省种子，一亩地用种量约40斤，用水量节省30%，产量增加20%，增产增收效果显著。在双桥村220亩小麦试验场所，引进小麦新品种12个，播量试验划分每亩60斤、70斤、80斤等梯度，农技人员用数据破除“播种越多产量越高”的旧观念，春小麦陇春44号高产创建“揭榜挂帅”试点同步推进，力争示范田亩产突破700公斤。\n\n在新城子镇邵家庄村千亩冬小麦试验示范基地，针对寒旱灌区水资源匮乏、低温干旱胁迫突出等痛点，核心示范种植济麦44号等品种，设置播期、播量、新品种筛选等多组梯度试验，将精量穴播、干播湿出、动态施肥、黑色地膜与品种筛选深度耦合，形成“种-播-水-肥-膜”一体化技术体系。其中“干播湿出”技术可减少水资源浪费40%，冬小麦越冬存活率提升至95%以上。\n\n在红山窑镇河沿子村，1830亩马铃薯现代农业科技试验示范基地里，30亩试验区引进甘农薯7号、克新等8个品种，开展29项次田间试验：密度试验区里5000株、6000株、7000株三个梯度次第排开，有机肥施用量在1000至3000公斤区间设置5个梯度，4项灌溉量梯度试验为节水精准灌溉积累数据。永昌县农技中心主任丁文庆说：“待9月中旬收获测产后，我们将形成一套适配本地的技术参数，为全县马铃薯生产技术升级提供科学依据。”\n\n从浅埋滴灌到膜上穴播、膜下滴灌水肥一体化，从单一品种到多梯度对比筛选，永昌的良种良法配套体系正日趋成熟。\n\n![Image 4](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F8dfcb7ea98f68df17b1b13778e93c153~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792022866&x-signature=SbZKMt%2FmRzhfTwum6tzSnthAfBs%3D)\n**服务下沉**\n\n**让技术从纸面走进田间**\n\n科技落地，关键在人。永昌县推行“县管乡用、下沉到村”服务机制，每名农技人员固定包联行政村、对接十余户种植大户。灌浆期的小麦田里，永昌县农业技术推广服务中心主任丁文庆带领技术小组穿行垄间，卷尺、测墒仪、记录本一刻不离，蹲身拨开麦株记录穗长、穗粒数和土壤湿度，现场为农户讲解“一喷三防”要点。全县累计组织150余人次农技人员下沉一线，指导检修各类农机具1.3万台（套），计划推广小麦浅埋滴灌20万亩以上、玉米宽窄行20万亩以上、马铃薯垄膜滴灌6万亩以上，目前已落实小麦浅埋滴灌9.2万亩。\n\n在红山窑镇高古城村，县科协把科普下乡活动办到田间地头，农技专家面对面讲解高原夏菜水肥管理与病虫害防控，本土种植户现场演示无人机植保作业，理论宣讲与实操实训深度融合，打通了农技科普服务“最后一公里”。丰泽园农民种植专业合作社负责人张琰忠感慨：“从前种地凭经验，如今农技人员常态化驻田，每一项管理措施都有数据支撑。”\n\n![Image 5](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002F74d5c638e987466d7506e20d5127fb24~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792022866&x-signature=mdDszQ0hXPFOFFBFJoIiBpl%2BLd0%3D)\n**产业融合**\n\n**从一粒种到一条链**\n\n科技的力量，不止于田间。在水源镇方沟村，翻新升级后的日光温室大棚里，西葫芦、小乳瓜挂满藤蔓，种植户利用部分温室开展育苗，多元种植搭配设施提质，还吸纳周边群众就近务工。永昌县重点发展宜机化钢架大棚与高标准日光温室，着力打造西河片区特色食用菌、城郊片区集约化育苗、东河片区反季节瓜菜、清河片区“春提早秋延后”高原夏菜四个设施种植业集群发展带。2026年计划新建日光温室353座、钢架大棚1064座，更新改造日光温室175座。\n\n在畜牧领域，甘肃元生农牧科技有限公司聚焦肉羊良种繁育，集成精液采集、稀释、保鲜、精准输精等关键技术，依托胚胎工程打通优质种源快速繁育通道。永昌县深挖“永昌肉羊”国家地理标志产品优势，整合养殖、繁育、加工、流通全产业链数据，搭建从“牧场到餐桌”的全程追溯体系，让优质肉羊凭借“甘味”品牌走向更广阔的市场。立足国家级现代农业产业园建设，永昌紧扣“世界奶绵羊之窗”定位，力争年底奶绵羊养殖规模达7万只，推动羊产业向全链条融合迈进。\n\n全县统筹推进生物育种产业化布局，在水源、六坝两镇规模化开展转基因玉米示范种植，形成小麦、马铃薯、玉米多元的粮食科技提升格局，丰富“牛羊菜果薯药粮种”八大产业科技支撑体系。\n\n从新城子镇的智慧薯田到双桥村的节水麦浪，从邵家庄村的冬小麦试验到河沿子村的马铃薯攻关，从方沟村的大棚四季到元生公司的良种繁育，永昌县以智慧农田建设为核心抓手，持续加大农业数字化基础设施投入，推广智能物联网管控模式，扩大智慧农业覆盖范围。站在“十五五”开局的新起点，这片曾经“靠天吃饭”的寒旱之地，正用科技重新定义耕耘——数据在云端奔跑，阀门在指尖开合，良种在试验田里比拼，农技人员的脚步丈量着每一块地头。农业强、农村美、农民富的振兴图景，正在永昌沃野上徐徐铺展。\n\n![Image 6: 图片](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-tjoges91tu\u002Fd0ce336604fc90ef9437d20b22b06d42~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1792022866&x-signature=0YjY2roixNeBRjKaS%2BUMSiIxed8%3D)\n来源：爱永昌客户端\n\n编辑：常远\n\n责编：刘欢欢\n\n审核：谢晓玲","今日头条 金昌发布 2026-10-04","2026-10-04T00:00:00Z",63,{"impact":17,"substance":85,"depth":17,"authority":73,"freshness":86,"relevant":19,"comment":87},20,5,"县域寒旱农业科技转型的扎实报道，节水、良种、农技下沉数据具体，但属地方动态，全国性影响有限。",[89],{"name":81,"url":78},[91,92,26,27,93,94],"智慧农业","种业振兴","可降解地膜","良种良法",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":98},{"candidates":99,"agricultural_evidence":44},[100,104,109,115,121,127],{"code":30,"score":43,"supported":44,"title":101,"abstract":102,"tags":103},[],[26],[26],{"code":105,"score":43,"supported":44,"title":106,"abstract":107,"tags":108},"I1",[],[91],[91],{"code":110,"score":50,"supported":44,"title":111,"abstract":112,"tags":114},"A2",[],[113],"小麦",[],{"code":116,"score":50,"supported":44,"title":117,"abstract":118,"tags":120},"H2",[],[119],"土壤",[],{"code":122,"score":50,"supported":44,"title":123,"abstract":124,"tags":126},"I5",[],[125],"物联网",[],{"code":128,"score":70,"supported":13,"title":129,"abstract":130,"tags":131},"F1",[],[],[92,94],[133,134],"永昌县 智慧节水 马铃薯","陇春44号 小麦 揭榜挂帅","永昌县智慧节水马铃薯-4401","2026-10-08T00:06:56.970004Z",{"id":138,"title":139,"url":140,"summary":141,"summary_zh":8,"content":142,"source_name":143,"source_url":8,"published_at":144,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":145,"score_detail":146,"sources":150,"tags":152,"primary_topic":157,"secondary_topics":158,"classification":159,"search_phrases":190,"slug":193,"view_count":194,"doi":8,"paper":8,"created_at":195},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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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":147,"substance":18,"depth":147,"authority":147,"freshness":148,"relevant":19,"comment":149},12,9,"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。",[151],{"name":143,"url":140},[153,26,154,155,156],"院县共建","农技培训","密植高产","玉米大豆",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":160},{"candidates":161,"agricultural_evidence":44},[162,168,174,180,185],{"code":30,"score":163,"supported":44,"title":164,"abstract":165,"tags":167},7,[],[166,26],"施肥",[26],{"code":169,"score":43,"supported":44,"title":170,"abstract":171,"tags":173},"A3",[],[172],"玉米",[156],{"code":175,"score":50,"supported":44,"title":176,"abstract":177,"tags":179},"A4",[],[178],"大豆",[],{"code":181,"score":19,"supported":13,"title":182,"abstract":183,"tags":184},"A8",[],[],[155],{"code":186,"score":19,"supported":13,"title":187,"abstract":188,"tags":189},"G1",[],[],[154],[191,192],"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":197,"title":198,"url":199,"summary":200,"summary_zh":201,"content":8,"source_name":202,"source_url":199,"published_at":203,"category":204,"cover_url":8,"hotness":12,"is_selected":13,"score":205,"score_detail":206,"sources":209,"tags":211,"primary_topic":215,"secondary_topics":216,"classification":217,"search_phrases":249,"slug":252,"view_count":194,"doi":8,"paper":253,"created_at":271},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":207,"substance":17,"depth":18,"authority":147,"freshness":43,"relevant":19,"comment":208},8,"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。",[210],{"name":202,"url":199},[91,212,26,213,214],"农业物联网","精准灌溉","光伏农业",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":218},{"candidates":219,"agricultural_evidence":44},[220,228,234,239,244],{"code":30,"score":221,"supported":44,"title":222,"abstract":224,"tags":227},18,[223],"fertigation",[166,225,26,226,223],"肥料","fertilizer",[26],{"code":105,"score":163,"supported":44,"title":229,"abstract":230,"tags":233},[],[231,232],"精准农业","precision agriculture",[91],{"code":122,"score":163,"supported":44,"title":235,"abstract":236,"tags":238},[],[125,237],"IoT",[212],{"code":116,"score":73,"supported":44,"title":240,"abstract":241,"tags":243},[],[119,242],"soil",[],{"code":245,"score":19,"supported":13,"title":246,"abstract":247,"tags":248},"H3",[],[],[213],[250,251],"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":254,"authors":255,"venue":202,"cited_by_count":194,"oa_url":199,"card":264,"direction":268,"ingested_from":270},"W7221424039",[256,258,260,262],{"name":257,"orcid":8},"Niharika Bodake",{"name":259,"orcid":8},"Akshata Gaurkar",{"name":261,"orcid":8},"Vaishnavi Chavan",{"name":263,"orcid":8},"S. K. Godase",{"tldr":265,"method":266,"finding":267,"direction":268,"opportunity":269},"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":273,"title":274,"url":275,"summary":276,"summary_zh":277,"content":8,"source_name":202,"source_url":275,"published_at":203,"category":204,"cover_url":8,"hotness":12,"is_selected":13,"score":278,"score_detail":279,"sources":281,"tags":283,"primary_topic":285,"secondary_topics":286,"classification":287,"search_phrases":313,"slug":316,"view_count":70,"doi":8,"paper":317,"created_at":329},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":207,"substance":18,"depth":147,"authority":73,"freshness":73,"relevant":19,"comment":280},"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。",[282],{"name":202,"url":275},[91,125,231,26,284],"可再生能源",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":288},{"candidates":289,"agricultural_evidence":44},[290,295,299,303,307],{"code":30,"score":221,"supported":44,"title":291,"abstract":292,"tags":294},[223],[166,225,26,293,226,223],"养分管理",[26],{"code":105,"score":207,"supported":44,"title":296,"abstract":297,"tags":298},[],[231,232],[91,231],{"code":122,"score":163,"supported":44,"title":300,"abstract":301,"tags":302},[],[125,237],[125],{"code":116,"score":73,"supported":44,"title":304,"abstract":305,"tags":306},[],[119,242],[],{"code":308,"score":50,"supported":44,"title":309,"abstract":310,"tags":312},"H8",[],[311],"可持续农业",[],[314,315],"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":318,"authors":319,"venue":202,"cited_by_count":194,"oa_url":275,"card":324,"direction":268,"ingested_from":270},"W7221368129",[320,321,322,323],{"name":257,"orcid":8},{"name":259,"orcid":8},{"name":261,"orcid":8},{"name":263,"orcid":8},{"tldr":325,"method":326,"finding":327,"direction":268,"opportunity":328},"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":331,"title":332,"url":333,"summary":334,"summary_zh":335,"content":8,"source_name":336,"source_url":333,"published_at":337,"category":204,"cover_url":8,"hotness":12,"is_selected":13,"score":83,"score_detail":338,"sources":341,"tags":343,"primary_topic":347,"secondary_topics":348,"classification":349,"search_phrases":377,"slug":380,"view_count":19,"doi":381,"paper":382,"created_at":397},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",{"impact":207,"substance":221,"depth":339,"authority":18,"freshness":207,"relevant":19,"comment":340},15,"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。",[342],{"name":336,"url":333},[91,344,26,345,346],"机器学习","养分预测","无土栽培",{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":350},{"candidates":351,"agricultural_evidence":44},[352,357,361,367,372],{"code":105,"score":148,"supported":44,"title":353,"abstract":355,"tags":356},[354],"smart agriculture",[],[91],{"code":30,"score":163,"supported":44,"title":358,"abstract":359,"tags":360},[],[166,223],[26],{"code":362,"score":43,"supported":44,"title":363,"abstract":364,"tags":366},"B7",[],[365],"hydroponic",[346],{"code":122,"score":50,"supported":44,"title":368,"abstract":369,"tags":371},[],[370],"农业传感",[],{"code":373,"score":19,"supported":13,"title":374,"abstract":375,"tags":376},"I2",[],[],[344],[378,379],"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":381,"openalex_id":383,"authors":384,"venue":336,"cited_by_count":194,"oa_url":333,"card":392,"direction":268,"ingested_from":270},"W7221072509",[385,388,390],{"name":386,"orcid":387},"Shaista Farhat","https:\u002F\u002Forcid.org\u002F0009-0008-9348-8370",{"name":389,"orcid":8},"Dr. Chokka Anuradha",{"name":391,"orcid":8},"Dawit Tafesse Gebreyohannes",{"tldr":393,"method":394,"finding":395,"direction":268,"opportunity":396},"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",{"id":399,"title":400,"url":401,"summary":402,"summary_zh":403,"content":8,"source_name":404,"source_url":401,"published_at":405,"category":204,"cover_url":8,"hotness":12,"is_selected":13,"score":406,"score_detail":407,"sources":410,"tags":412,"primary_topic":415,"secondary_topics":419,"classification":426,"search_phrases":485,"slug":488,"view_count":50,"doi":489,"paper":490,"created_at":545},3759,"Synergistic interaction effects of precision phosphorus fertigation and residue management on productivity, profitability, and resource-use efficiency of wheat under conservation agriculture","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1944629","Phosphorus (P) management under conventional surface-broadcast application in calcareous soils of the Indo-Gangetic Plains (IGP) suffers from severe fixation losses, limiting phosphorus-use efficiency (PUE) to 10–25% and contributing to yield gaps in wheat, a globally important food security crops. A two-year (2023–24 and 2024–25) split-plot field experiment was conducted within a mid-term conservation agriculture (CA)-based maize-wheat-greengram system to evaluate nine phosphorus fertigation levels and split application schedules through subsurface drip fertigation (SSDF), combined with two residue management practices (retention: R+, no-retention: R-), on growth, yield, water productivity, economics, and resource-use efficiency and post-harvest available phosphorus of wheat (cv. HD 2967). Treatments included no-P (control), SSDF of P as DAP at 50, 75, and 100% of the recommended dose (RDP; 60 kg P 2 O 5 ha −1 ) applied either fully as basal (10 DAS) or split (10 and 25 DAS), along with a nano-DAP foliar spray, compared against conventional CA with flood irrigation and basal broadcast P (CA-FI-100% RDP-B). SSDF treatments consumed only 178–275 mm of total water input against 437–452 mm under flood irrigation. Among SSDF treatments, 100% RDP applied in two splits (100% RDP-2S) consistently recorded the highest growth attributes, grain yield (6.23 and 6.31 t ha −1 ), and economic returns (BCR: 1.8–2) across both years, improving grain yield by 10.6–11.5% and net returns by 13.7% over CA-FI-100% RDP-B. Notably, 75% RDP-2S was statistically comparable to 100% RDP-2S for yield and profitability, demonstrating that a 25% reduction in P dose under precision SSDF does not compromise productivity. Total and irrigation water productivity improved by 127.7 and 156.7%, respectively, under 100% RDP-2S over CA-FI-100% RDP-B. Residue retention further enhanced productivity, increasing grain yield by 14.0–15.0% and net returns by 26.4–27.5%. Post-harvest soil available P was 18.0 and 43.3% higher under SSDF than under CA-FI-100% RDP-B at 0–15 and 15–30 cm, respectively. The interaction of split P fertigation and residue retention was consistently superior for grain yield and water productivity. These findings establish 75–100% RDP delivered through split SSDF, combined with residue retention, as an agronomically superior, water-efficient, economically viable strategy for sustainable wheat intensification in the semi-arid IGPs.","在印度河-恒河平原（IGP）石灰性土壤上，常规地表撒施条件下的磷（P）管理面临严重的固定损失，导致磷利用效率（PUE）仅为10–25%，并造成小麦——一种全球重要的粮食安全作物——的产量差距。在中期保护性农业（CA）为基础的玉米-小麦-绿豆轮作体系中，开展了一项为期两年（2023–24和2024–25）的裂区田间试验，评估九种磷肥滴灌水平和分次施用方案通过地下滴灌施肥（SSDF）对小麦（品种HD 2967）生长、产量、水分生产力、经济效益、资源利用效率及收获后土壤有效磷的影响，并结合两种秸秆管理方式（还田：R+，不还田：R-）。处理包括：无磷（对照）、以DAP形式通过SSDF施用推荐施磷量（RDP；60 kg P₂O₅ ha⁻¹）的50%、75%和100%，分别以全部基施（播种后10天）或分次施用（播种后10天和25天），同时配合纳米DAP叶面喷施，并与常规保护性农业配合漫灌和基施撒施磷（CA-FI-100% RDP-B）进行比较。SSDF处理的总水分投入仅为178–275 mm，而漫灌条件下为437–452 mm。在SSDF处理中，100% RDP分两次施用（100% RDP-2S）在两年中均持续表现出最高的生长指标、籽粒产量（6.23和6.31 t ha⁻¹）和经济效益（BCR：1.8–2），较CA-FI-100% RDP-B分别提高籽粒产量10.6–11.5%和净收益13.7%。值得注意的是，75% RDP-2S在产量和盈利能力上与100% RDP-2S无统计学差异，表明在精准SSDF下减少25%的磷用量不会影响生产力。与CA-FI-100% RDP-B相比，100% RDP-2S处理下总水分生产力和灌溉水分生产力分别提高了127.7%和156.7%。秸秆还田进一步提高了生产力，使籽粒产量增加14.0–15.0%，净收益增加26.4–27.5%。收获后土壤有效磷在0–15 cm和15–30 cm土层中，SSDF较CA-FI-100% RDP-B分别高出18.0%和43.3%。分次磷肥滴灌与秸秆还田的交互作用在籽粒产量和水分生产力方面始终表现最优。这些研究结果表明，通过分次SSDF施用75–100% RDP并结合秸秆还田，是一种农艺上优越、水分高效、经济可行的策略，可用于半干旱印度河-恒河平原小麦的可持续集约化生产。","Frontiers in Sustainable Food Systems","2026-09-28T00:00:00Z",80,{"impact":221,"substance":16,"depth":221,"authority":408,"freshness":148,"relevant":19,"comment":409},13,"两年田间试验证实分次地下滴灌施磷配合秸秆还田可减磷25%并显著提升小麦产量与水肥利用效率，数据扎实、结论可靠，对半干旱地区精准水肥管理有直接参考价值。",[411],{"name":404,"url":401},[91,413,113,414,26],"精准施肥","保护性耕作",{"code":110,"slug":416,"name":113,"path":417,"parent_code":418},"wheat","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[420,421],{"code":30,"slug":31,"name":32,"path":33,"parent_code":34},{"code":308,"slug":422,"name":423,"path":424,"parent_code":425},"sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture","H",{"status":37,"locked":13,"version":38,"method":39,"evidence":427},{"candidates":428,"agricultural_evidence":44},[429,433,437,442,447,453,457,463,469,475,481],{"code":30,"score":17,"supported":44,"title":430,"abstract":431,"tags":432},[223],[166,223],[26,413],{"code":110,"score":339,"supported":44,"title":434,"abstract":435,"tags":436},[416],[113,416],[113],{"code":308,"score":147,"supported":44,"title":438,"abstract":440,"tags":441},[439],"conservation agriculture",[439],[414],{"code":169,"score":73,"supported":44,"title":443,"abstract":444,"tags":446},[],[172,445],"maize",[],{"code":181,"score":73,"supported":44,"title":448,"abstract":449,"tags":452},[],[450,451],"粮食安全","food security",[],{"code":116,"score":73,"supported":44,"title":454,"abstract":455,"tags":456},[],[119,242],[],{"code":245,"score":73,"supported":44,"title":458,"abstract":459,"tags":462},[],[460,461],"灌溉","irrigation",[],{"code":464,"score":50,"supported":44,"title":465,"abstract":466,"tags":468},"A7",[],[467],"轮作",[],{"code":470,"score":50,"supported":44,"title":471,"abstract":472,"tags":474},"H5",[],[473],"秸秆还田",[],{"code":476,"score":50,"supported":44,"title":477,"abstract":478,"tags":480},"H7",[],[479],"干旱",[],{"code":105,"score":19,"supported":13,"title":482,"abstract":483,"tags":484},[],[],[91],[486,487],"地下滴灌 磷肥 小麦","保护性耕作 秸秆还田 小麦","地下滴灌磷肥小麦-3759","10.3389\u002Ffsufs.2026.1944629",{"doi":489,"openalex_id":491,"authors":492,"venue":404,"cited_by_count":194,"oa_url":401,"card":540,"direction":268,"ingested_from":270},"W7214579192",[493,495,498,500,502,504,506,509,511,513,515,517,519,522,524,526,529,532,535,538],{"name":494,"orcid":8},"Kadagonda Nithinkumar",{"name":496,"orcid":497},"Anchal Dass","https:\u002F\u002Forcid.org\u002F0000-0003-3909-1803",{"name":499,"orcid":8},"Devika A. R.",{"name":501,"orcid":8},"Arjun Singh",{"name":503,"orcid":8},"Susama Sudhishri",{"name":505,"orcid":8},"Vinod Kumar Singh",{"name":507,"orcid":508},"Sanjay Singh Rathore","https:\u002F\u002Forcid.org\u002F0000-0001-6725-1478",{"name":510,"orcid":8},"Sarvendra Kumar",{"name":512,"orcid":8},"Teekam Singh",{"name":514,"orcid":8},"Jitendra Rajput",{"name":516,"orcid":8},"Pravin Kumar Upadhyaya",{"name":518,"orcid":8},"R. N. Sahoo",{"name":520,"orcid":521},"ARPULA SAIRAM","https:\u002F\u002Forcid.org\u002F0009-0009-9034-6032",{"name":523,"orcid":8},"Aye Aye San",{"name":525,"orcid":8},"K. S. Sachin",{"name":527,"orcid":528},"Mummasani Asritha","https:\u002F\u002Forcid.org\u002F0009-0002-4619-9943",{"name":530,"orcid":531},"Ramanjit Kaur","https:\u002F\u002Forcid.org\u002F0000-0001-5117-050X",{"name":533,"orcid":534},"Mona Nagargade","https:\u002F\u002Forcid.org\u002F0000-0003-1062-512X",{"name":536,"orcid":537},"Vishal Tyagi","https:\u002F\u002Forcid.org\u002F0000-0001-5593-3076",{"name":539,"orcid":8},"Subhash Babu",{"tldr":541,"method":542,"finding":543,"direction":268,"opportunity":544},"研究保护性农业下精准磷肥滴灌与秸秆还田对小麦产量、收益和资源效率的协同效应。","两年裂区田间试验，地下滴灌分次施磷与秸秆还田处理，测产量、水生产力与经济指标。","75–100%推荐磷量分次滴灌配秸秆还田可增产10%以上、节水超一倍且不减产。","可探索基于土壤磷素实时监测的变量施磷决策模型，并与秸秆还田互作机制结合优化。","2026-09-29T23:30:06.859116Z"]