[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3222":3,"related-3222":37},{"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,"search_phrases":31,"slug":34,"view_count":35,"doi":8,"paper":8,"created_at":36},3222,"深化南北科技协作 共促智慧节水农业发展——河北省水资源研究与水利技术试验推广中心一行到江苏里下河所调研交流","https:\u002F\u002Fyz.jaas.ac.cn\u002Fxww\u002Fxwzx\u002Fart\u002F2026\u002Fart_685e5e43f9554e108a96b2b38a2110e2.html","9-21 河北省水资源研究与水利技术试验推广中心（河北省灌溉中心试验站）副主任贾志军一行3人来江苏里下河地区农业科学研究所调研交流。调研组一行在资源与环境研究室主任寇祥明等陪同下，实地考察樊川基地，现场观摩智慧灌溉、虫情监测及土壤墒情在线监测等智慧农业应用场景。双方围绕农业水资源高效利用、智慧灌溉技术研发及科研基地建设等主题进行深入交流，重点围绕深化南北区域农业节水科技协作达成共识，一致认为应充分发挥各自在农业水资源利用、稻麦栽培和智慧农业等方面的科研与平台优势，协同开展黄淮海地区和里下河地区稻麦高效节水智慧灌溉技术研究，探索构建适应不同生态区的智慧灌溉技术模式与技术标准。",null,"深化南北科技协作 共促智慧节水农业发展—河北省水资源研究与水利技术试验推广中心一行来我所调研交流\n\n作者：资源与环境研究室 文章来源：里下河所 点击数：次 更新时间：2026-09-21 18:02\n\n9月21日，河北省水资源研究与水利技术试验推广中心（河北省灌溉中心试验站）副主任贾志军一行3人来我所调研交流。扬州大学水利科学与工程学院副教授张超、江苏艺米科技产业有限公司王娟参加调研，我所资源与环境研究室相关科技人员参加交流。\n\n调研组一行在资源与环境研究室主任寇祥明等陪同下，实地考察我所樊川基地，现场观摩智慧灌溉、虫情监测及土壤墒情在线监测等智慧农业应用场景。座谈会上，双方围绕农业水资源高效利用、智慧灌溉技术研发及科研基地建设等主题进行深入交流，分别介绍了各自团队的科研方向、技术优势与试验基地建设情况，并结合黄淮海地区和里下河地区水资源条件及农业生产特点，就不同区域稻麦节水高效生产面临的关键问题展开探讨。双方重点围绕深化南北区域农业节水科技协作达成共识，一致认为应充分发挥各自在农业水资源利用、稻麦栽培和智慧农业等方面的科研与平台优势，协同开展黄淮海地区和里下河地区稻麦高效节水智慧灌溉技术研究，探索构建适应不同生态区的智慧灌溉技术模式与技术标准。\n\n[![Image 1: 2.jpg](https:\u002F\u002Fyz.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F99318008\u002Fpicture\u002F20268\u002FS7ab29cbc247748b8b1c3a335f0b41404-800.jpg)](https:\u002F\u002Fyz.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F99318008\u002Fpicture\u002F20268\u002F7ab29cbc247748b8b1c3a335f0b41404.jpg)[](https:\u002F\u002Fyz.jaas.ac.cn\u002Fxww\u002Fxwzx\u002Fart\u002F2026\u002Fart_685e5e43f9554e108a96b2b38a2110e2.html)\n\n[![Image 2: 1(1).jpg](https:\u002F\u002Fyz.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F99318008\u002Fpicture\u002F20268\u002FS080985d3c19546bcb9b4ed2013226f82-800.jpg)](https:\u002F\u002Fyz.jaas.ac.cn\u002Fcms_files\u002Ffilemanager\u002F99318008\u002Fpicture\u002F20268\u002F080985d3c19546bcb9b4ed2013226f82.jpg)[](https:\u002F\u002Fyz.jaas.ac.cn\u002Fxww\u002Fxwzx\u002Fart\u002F2026\u002Fart_685e5e43f9554e108a96b2b38a2110e2.html)","江苏里下河地区农业科学研究所","2026-09-21T00:00:00Z","报道",10,false,58,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},12,14,11,9,1,"省级科研机构间的南北节水协作调研，有实地观摩与共识方向，但属常规交流通稿，增量有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"农业水资源","智慧灌溉","节水农业","南北科技协作","稻麦生产",[32,33],"河北水资源中心 里下河所 智慧灌溉","黄淮海 里下河 稻麦节水","河北水资源中心里下河所智慧灌溉-3222",0,"2026-09-23T00:04:29.727008Z",{"total":38,"page":21,"page_size":38,"items":39},6,[40,63,114,152,182,223],{"id":41,"title":42,"url":43,"summary":44,"summary_zh":8,"content":45,"source_name":46,"source_url":8,"published_at":47,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":48,"score_detail":49,"sources":53,"tags":55,"search_phrases":58,"slug":61,"view_count":35,"doi":8,"paper":8,"created_at":62},1548,"内蒙古和林格尔县水口村千亩玉米田：手机一点\"一键喝饱\"——智慧水肥系统亩节水 30%","http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fc.html","内蒙古呼和浩特市和林格尔县舍必崖乡水口村种粮大户胡永平在千亩玉米田打开手机上的智慧管理平台，远处的智能灌溉系统便应声启动，土壤湿度传感器、自动控制器和无线传输模块实时同步数据。2026 年全县实施 20 万亩玉米单产提升工程，推广\"五统四控三提两增\"技术模式，示范区重点示范玉米密植高产精准调控、水肥一体化减肥增效、无膜浅埋滴灌等关键技术，亩均种植密度达到 6000 株以上、亩均增产 200 公斤。","[![Image 3](http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fc.html)](javascript:void(0))\n\n![Image 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手机点一点玉米喝饱水——和林格尔县水口村千亩玉米田智慧农业一线见闻- 新华网内蒙古频道 \n\n![Image 9](http:\u002F\u002Fwww.news.cn\u002Fdetail2020\u002Fimages\u002Fewm.png)\n\n[](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fc.html&title=%E6%89%8B%E6%9C%BA%E7%82%B9%E4%B8%80%E7%82%B9%E7%8E%89%E7%B1%B3%E5%96%9D%E9%A5%B1%E6%B0%B4%E2%80%94%E2%80%94%E5%92%8C%E6%9E%97%E6%A0%BC%E5%B0%94%E5%8E%BF%E6%B0%B4%E5%8F%A3%E6%9D%91%E5%8D%83%E4%BA%A9%E7%8E%89%E7%B1%B3%E7%94%B0%E6%99%BA%E6%85%A7%E5%86%9C%E4%B8%9A%E4%B8%80%E7%BA%BF%E8%A7%81%E9%97%BB)\n\n![Image 10](http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fzxcode_202609033ffa723d73e7463a9ecb948d469391bf.jpg)\n\n![Image 11](http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fc.html)\n\n![Image 12](http:\u002F\u002Fwww.news.cn\u002Fpolitics\u002Fnewpage2020\u002Fimages\u002Fqrcode-app.png)\n\n[新华网](http:\u002F\u002Fnmg.news.cn\u002F)>> 正文 \n\n_2026_ 09\u002F03 15:42:06\n\n来源：新华网 \n\n# 手机点一点玉米喝饱水——和林格尔县水口村千亩玉米田智慧农业一线见闻\n\n[Audio 2](http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fc.html)\n\n字体： 小 中 大\n\n 分享到：[](javascript:void(0))[](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fc.html&title=%E6%89%8B%E6%9C%BA%E7%82%B9%E4%B8%80%E7%82%B9%E7%8E%89%E7%B1%B3%E5%96%9D%E9%A5%B1%E6%B0%B4%E2%80%94%E2%80%94%E5%92%8C%E6%9E%97%E6%A0%BC%E5%B0%94%E5%8E%BF%E6%B0%B4%E5%8F%A3%E6%9D%91%E5%8D%83%E4%BA%A9%E7%8E%89%E7%B1%B3%E7%94%B0%E6%99%BA%E6%85%A7%E5%86%9C%E4%B8%9A%E4%B8%80%E7%BA%BF%E8%A7%81%E9%97%BB)[](javascript:void(0))[](javascript:void(0))\n\n![Image 13](http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fzxcode_202609033ffa723d73e7463a9ecb948d469391bf.jpg)\n\n![Image 14](http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fc.html)\n\n![Image 15](http:\u002F\u002Fwww.news.cn\u002Fpolitics\u002Fnewpage2020\u002Fimages\u002Fqrcode-app.png)\n\n# 手机点一点玉米喝饱水——和林格尔县水口村千亩玉米田智慧农业一线见闻\n\n 2026-09-03 15:42:06  来源：新华网 \n\n九月金秋，天高云淡。走进呼和浩特市和林格尔县舍必崖乡水口村的千亩玉米田，微风拂过，青纱帐沙沙作响，丰收在望。田埂边却少见农户的身影，取而代之的是散落在田垄间的智能水阀和埋在地下的滴灌管网。\n\n![Image 16](http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002F202609033ffa723d73e7463a9ecb948d469391bf_20260902f559c657a87f421ea859f89f85ea6a28.jpg)\n\n**“一键手机变“遥控器” 千亩玉米“一键喝饱”**\n\n在水口村千亩玉米种植基地，种粮大户胡永平打开手机上的智慧管理平台，轻轻一点，远处的智能灌溉系统便应声启动。田埂边，水肥智能一体设备高效运转，将配比好的水肥输送到每一株玉米的根系。\n\n![Image 17](http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002F202609033ffa723d73e7463a9ecb948d469391bf_2026090221f136b59b6f45feaef5594b5bf9f87e.jpg)\n\n“以前浇地，得扛着铁锹追着水跑，不管白天黑夜，两三个人轮班倒，还得在地里来回巡查，怕跑水、怕浇不透，一忙就是好几天。”胡永平说。如今，土壤湿度传感器、自动控制器和无线传输模块实时同步数据，哪块地缺水、缺肥，在手机上看得一清二楚。用上智能水肥系统，每亩地用水量可降低30%，一个人就能轻松管理数百亩地。“过去浇地靠的是铁锹和脚板，现在靠的是手机和数据。”胡永平说。\n\n**良种良法有“良方” 万亩攻关创“吨粮”**\n\n从水口村放眼全县，类似的智慧场景正在和林格尔县全域铺开。2026年，全县实施20万亩玉米单产提升工程，涉及8个乡镇26个行政村。推广“五统四控三提两增”技术模式，即统一种植品种、统一肥水管理、统一病虫防控、统一技术指导、统一机械作业；控肥、控药、控水、控膜；提升化肥、农药和水资源利用效率；实现增产、增效。示范区重点示范玉米密植高产精准调控、水肥一体化减肥增效、无膜浅埋滴灌等关键技术，亩均种植密度达到6000株以上，亩均增产200公斤。\n\n水口村的丰收景象，是和林格尔县100多万亩玉米高质量发展的缩影。作为国家重要绿色农畜产品加工基地和国家级农业现代化示范区，和林格尔县正以智慧农业为引擎，推动玉米产业从“会种地”向“慧种地”加速迈进。（王效平 薛瑞敏 张成华）\n\n[【纠错】](javascript:void(0);)\n\n![Image 18](http:\u002F\u002Fwww.news.cn\u002Fimages\u002Fsyicon\u002Fspace.gif)\n\n 【责任编辑:徐红梅】 \n\n阅读下一篇：\n\n[](http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fc.html###)\n\nCopyright © 2000 - 2026 XINHUANET.com All Rights Reserved.\n\n制作单位：新华网股份有限公司 版权所有：新华网股份有限公司\n\n![Image 19](http:\u002F\u002Fnmg.xinhuanet.com\u002F20260903\u002F3ffa723d73e7463a9ecb948d469391bf\u002Fc.html)\n\n 手机点一点玉米喝饱水——和林格尔县水口村千亩玉米田智慧农业一线见闻","新华网内蒙古频道","2026-09-03T00:00:00Z",66,{"impact":50,"substance":51,"depth":17,"authority":17,"freshness":20,"relevant":21,"comment":52},15,18,"报道了内蒙古玉米田智慧水肥系统应用成效，数据具体，具有推广价值。",[54],{"name":46,"url":43},[56,27,28,57],"水肥一体化","玉米种植",[59,60],"水肥一体化 智慧灌溉 玉米种植 节水农业","水肥一体化 智慧灌溉","水肥一体化智慧灌溉玉米种植节水农业-1548","2026-09-04T00:05:30.128440Z",{"id":64,"title":65,"url":66,"summary":67,"summary_zh":68,"content":8,"source_name":69,"source_url":66,"published_at":11,"category":70,"cover_url":8,"hotness":13,"is_selected":14,"score":71,"score_detail":72,"sources":77,"tags":79,"search_phrases":84,"slug":87,"view_count":35,"doi":88,"paper":89,"created_at":113},3181,"Estimating groundwater abstraction for irrigation in a data-scarce semi-arid region using optical and InSAR time-series analysis: the Tensift catchment, Morocco","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffrwa.2026.1917387","In Morocco, the expansion of irrigated agriculture has intensified groundwater abstraction and increased pressure on overexploited aquifer systems. Moreover, the substantial lack of pumping measurement data represents a critical limitation for water resources management. To address this gap, the present study quantifies groundwater abstraction at the perimeter scale during agricultural season (2015–2016) in the Tensift catchment, using an integrated methodology combining optical and radar remote sensing (Sentinel-1,-2) with field-based observations. The results show that the total groundwater abstraction reached 4.13 × 10 6 m 3 with a monthly average of 344,515 m 3 . During the April–August period, groundwater supplied 36.1% of crop water requirements, while dam releases contributed 63.9%. These estimates were validated against pumping records from monitoring wells, where field measurements quantified groundwater and dam release contributions of 45% and 55%, respectively. The water balance assessment indicated a total agricultural water supply of 18.8 × 10 6 m 3 .yr −1 , consistent with crop water requirements estimated at 17.8 × 10 6 m 3 .yr −1 . InSAR-derived land subsidence analysis revealed marked spatial heterogeneity, with maximum subsidence rates reaching 6.5 mm.yr −1 , concentrated in the northern sector and isolated central clusters. Overlap analysis showed a co-occurrence rate of 70.6% between high-abstraction and subsidence zones. The spatial Pearson correlation between land subsidence and groundwater abstraction ranges from 0.39 to 0.71. This study demonstrates that the proposed approach provides a robust and scalable framework for groundwater abstraction monitoring in data-scarce environments.","在摩洛哥，灌溉农业的扩张加剧了地下水开采，并增加了对过度开采含水层系统的压力。此外，抽水计量数据的大量缺失是水资源管理的一个关键限制。为弥补这一空白，本研究采用结合光学与雷达遥感（Sentinel-1、-2）及实地观测的综合方法，量化了Tensift流域农业季（2015—2016年）周边尺度的地下水开采量。结果表明，地下水总开采量达4.13 × 10⁶ m³，月均344,515 m³。在4月至8月期间，地下水满足了作物需水量的36.1%，而水库放水贡献了63.9%。这些估算结果经监测井抽水记录验证，实地测量量化地下水与水库放水的贡献分别为45%和55%。水量平衡评估表明，农业总供水量为18.8 × 10⁶ m³·yr⁻¹，与估算的作物需水量17.8 × 10⁶ m³·yr⁻¹一致。基于InSAR的地面沉降分析揭示了显著的空间异质性，最大沉降速率达6.5 mm·yr⁻¹，集中于北部区域和孤立的中部簇群。重叠分析显示，高开采区与沉降区的共现率为70.6%。地面沉降与地下水开采之间的空间Pearson相关系数范围为0.39至0.71。本研究表明，所提出的方法为数据稀缺环境下的地下水开采监测提供了一个稳健且可扩展的框架。","Frontiers in Water","论文",78,{"impact":73,"substance":74,"depth":51,"authority":75,"freshness":20,"relevant":21,"comment":76},16,22,13,"结合光学与InSAR遥感估算数据稀缺区灌溉地下水开采量，方法新颖、结论可靠，对农业水资源信息化管理有参考价值。",[78],{"name":69,"url":66},[26,80,81,82,83],"遥感监测","半干旱农业","地下水灌溉","InSAR",[85,86],"Tensift 流域 地下水 灌溉","Sentinel-1 Sentinel-2 灌溉 遥感","Tensift流域地下水灌溉-3181","10.3389\u002Ffrwa.2026.1917387",{"doi":88,"openalex_id":90,"authors":91,"venue":69,"cited_by_count":35,"oa_url":66,"card":106,"direction":110,"ingested_from":112},"W7213955905",[92,94,97,99,102,104],{"name":93,"orcid":8},"Youssef Hajhouji",{"name":95,"orcid":96},"Abdelhakim Amazirh","https:\u002F\u002Forcid.org\u002F0000-0002-6665-3843",{"name":98,"orcid":8},"Wassim Mohamed Baba",{"name":100,"orcid":101},"Marieme Seif-Ennasr","https:\u002F\u002Forcid.org\u002F0009-0005-8205-265X",{"name":103,"orcid":8},"M Serraj",{"name":105,"orcid":8},"Salah Er-Raki",{"tldr":107,"method":108,"finding":109,"direction":110,"opportunity":111},"结合光学与InSAR遥感估算摩洛哥半干旱区灌溉地下水开采量。","Sentinel-1\u002F2时序遥感、实地观测与InSAR沉降分析。","地下水满足36.1%作物需水，高开采区与沉降区重叠达70.6%。","农业遥感与作物表型","可迁移至其他数据稀缺区，融合多源遥感与机器学习提升开采量估算精度。","openalex","2026-09-22T23:30:24.043679Z",{"id":115,"title":116,"url":117,"summary":118,"summary_zh":119,"content":8,"source_name":120,"source_url":117,"published_at":11,"category":70,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":121,"sources":124,"tags":126,"search_phrases":131,"slug":134,"view_count":35,"doi":135,"paper":136,"created_at":151},3158,"Internet of things-based smart irrigation system using soil moisture and weather data","https:\u002F\u002Fdoi.org\u002F10.12928\u002Ftelkomnika.v24i5.27889","Water wastage in agriculture remains a significant challenge due to irrigation practices that often rely on fixed schedules rather than actual field conditions. This study presents an internet of things (IoT)-based smart irrigation system designed to improve water-use efficiency through real-time monitoring and automated irrigation control. The system integrates a capacitive soil moisture sensor with weather information obtained from an online application programming interface (API), while all data processing is performed locally on a Raspberry Pi edge device. A rule-based decision mechanism is used to classify soil conditions into dry, optimal, and wet categories and to determine appropriate irrigation actions based on soil moisture levels and rainfall forecasts. The system was implemented using low-cost and readily available components and tested under controlled conditions with soil moisture levels ranging from approximately 0% to above 85%. Experimental results showed consistent classification of critical dry, optimal, and critical wet conditions, enabling appropriate irrigation responses under different scenarios. In addition, email notifications were generated only during critical conditions, while no alerts were triggered under optimal moisture levels, demonstrating stable and reliable operation. The proposed system provides a practical and cost-effective solution for supporting efficient irrigation management and sustainable agricultural practices.","农业中的水资源浪费仍然是一项重大挑战，因为灌溉实践往往依赖固定时间表，而非实际田间条件。本研究提出了一种基于物联网（IoT）的智能灌溉系统，旨在通过实时监测和自动灌溉控制来提高用水效率。该系统将电容式土壤湿度传感器与从在线应用程序编程接口（API）获取的天气信息相结合，同时所有数据处理均在Raspberry Pi边缘设备上本地完成。系统采用基于规则的决策机制，将土壤状况分为干燥、适宜和湿润三类，并根据土壤湿度水平和降雨预报确定适当的灌溉措施。该系统使用低成本和易于获取的组件实现，并在受控条件下进行了测试，土壤湿度水平范围约为0%至85%以上。实验结果表明，系统能够一致地分类临界干燥、适宜和临界湿润状况，从而在不同情景下实现适当的灌溉响应。此外，电子邮件通知仅在临界状况下生成，而在适宜湿度水平下未触发任何警报，表明系统运行稳定可靠。所提出的系统为支持高效灌溉管理和可持续农业实践提供了一种实用且具有成本效益的解决方案。","TELKOMNIKA (Telecommunication Computing Electronics and Control)",{"impact":122,"substance":73,"depth":18,"authority":17,"freshness":122,"relevant":21,"comment":123},8,"低成本物联网智能灌溉系统，方法清晰、结论可靠，对节水农业有实用参考价值，但属常规技术验证类论文，影响范围有限。",[125],{"name":120,"url":117},[127,128,129,130,28],"智慧农业","物联网","智能灌溉","土壤墒情",[132,133],"IoT 智能灌溉 土壤湿度","Raspberry Pi 边缘计算 灌溉","IoT智能灌溉土壤湿度-3158","10.12928\u002Ftelkomnika.v24i5.27889",{"doi":135,"openalex_id":137,"authors":138,"venue":120,"cited_by_count":35,"oa_url":117,"card":145,"direction":149,"ingested_from":112},"W7213907872",[139,141,143],{"name":140,"orcid":8},"Zakarie Abdi Mohamud",{"name":142,"orcid":8},"Rozeha Binti A. Rashid",{"name":144,"orcid":8},"Yazid Abubakar Sufyan",{"tldr":146,"method":147,"finding":148,"direction":149,"opportunity":150},"基于物联网与土壤湿度及天气数据，实现低成本自动灌溉决策系统。","电容式土壤湿度传感器、天气API、Raspberry Pi边缘计算与规则决策。","系统能准确分类干、适宜、湿状态，仅在临界条件触发灌溉与邮件通知。","智慧农业 \u002F 农业物联网","可引入机器学习预测土壤湿度动态，优化规则阈值并扩展至多作物多区域验证。","2026-09-22T23:30:10.956765Z",{"id":153,"title":154,"url":155,"summary":156,"summary_zh":8,"content":8,"source_name":157,"source_url":8,"published_at":158,"category":70,"cover_url":8,"hotness":13,"is_selected":14,"score":159,"score_detail":160,"sources":162,"tags":164,"search_phrases":169,"slug":172,"view_count":35,"doi":8,"paper":173,"created_at":181},3049,"土壤压实与灌溉管理：对精准农业中土壤水力变化的启示","https:\u002F\u002Fwww.mdpi.com\u002F2073-4395\u002F16\u002F18\u002F1853","意大利帕多瓦大学A.C.与L.B.评估土壤压实通过改变土壤水力特性对精准农业灌溉管理的综合影响。研究维护土壤结构作为维持土壤水力功能、提升灌溉效率与农业系统长期可持续性最有效途径，使用HYPROP水力特性分析仪测定田间持水量（FC）、永久萎蔫点（PWP）、饱和水力传导度（Ksat）等关键参数，结合无人机遥感（UAV）与决策支持系统（DSS）实现精准灌溉调度。研究获SOILWAT（BIRD 2026）项目资助，为精准农业管理决策提供可量化水力参数基础。","MDPI Agronomy 16(18):1853","2026-09-20T00:00:00Z",68,{"impact":17,"substance":51,"depth":73,"authority":75,"freshness":20,"relevant":21,"comment":161},"学术论文，方法结合HYPROP与无人机遥感，对精准灌溉有参考价值，但属细分领域研究，公共影响有限。",[163],{"name":157,"url":155},[165,166,167,27,168],"决策支持系统","精准农业","无人机遥感","土壤压实",[170,171],"帕多瓦大学 土壤压实 灌溉","HYPROP 水力特性 精准灌溉","帕多瓦大学土壤压实灌溉-3049",{"doi":8,"openalex_id":8,"authors":174,"venue":8,"cited_by_count":35,"oa_url":8,"card":175,"direction":149,"ingested_from":180},[],{"tldr":176,"method":177,"finding":178,"direction":149,"opportunity":179},"评估土壤压实改变水力特性对精准灌溉管理的影响，并提出维护土壤结构的对策。","用HYPROP测FC、PWP、Ksat，结合无人机遥感与决策支持系统调度灌溉。","维护土壤结构是保持水力功能、提升灌溉效率与长期可持续性的最有效途径。","可探索压实-水力参数-遥感反演耦合模型，实现压实风险与灌溉调度的实时协同优化。","agent","2026-09-21T00:04:39.395594Z",{"id":183,"title":184,"url":185,"summary":186,"summary_zh":187,"content":8,"source_name":188,"source_url":185,"published_at":189,"category":70,"cover_url":8,"hotness":13,"is_selected":14,"score":190,"score_detail":191,"sources":193,"tags":195,"search_phrases":199,"slug":202,"view_count":35,"doi":203,"paper":204,"created_at":222},2807,"Integrating drip fertigation and nitrification inhibitors for rhizosphere-scale control of nitrogen transformations","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffpls.2026.1894587","Reactive nitrogen (Nr) losses from fertilized agricultural soils remain one of the dominant drivers of groundwater nitrate contamination and nitrous oxide (N 2 O) emissions, yet mitigation strategies are largely designed around input optimization rather than control of in-soil nitrogen transformations. Drip fertigation and nitrification inhibitors (NIs) have independently shown potential to improve nitrogen efficiency, however their integrated effects remain fragmented across irrigation and inhibitor-focused literature. Consequently, an integrated mechanistic framework explaining how drip irrigation-induced microenvironments regulate NI performance and nitrogen transformation is lacking. Here, we argue that the integration of drip fertigation with NIs, hereafter referred to as drip-NIs integration, is best understood as rhizosphere process control rather than input management: drip defines a bounded reaction-transport domain, and NIs slow down the conversion of ammonium (NH 4 + ) to nitrate (NO 3 - ). This review aims to synthesize evidence across NI types, crops, and drip configurations to examine how localized wetting patterns govern ammonium-nitrate partitioning, microbial processes, and inhibitor fate within the root zone. The available evidence suggests that NI performance may depend on spatial and temporal overlap among oxygen recovery, NH 4 + availability, and active ammonia oxidizers within the wetted bulb, however direct spatial validation remains limited. Based on these insights, we propose the Designer Rhizosphere Model (DRM) as a conceptual, hypothesis-generating framework linking controllable design variables (emitter placement, irrigation waveform, fertigation chemistry, NI formulation) with the measurable state variables (oxygen availability, NH 4 + \u002FNO 3 - fields, inhibitor exposure), microbial process rates, and yield-scaled environmental outcomes. The DRM requires validation through spatially field experiments before practical application. The resulting framework suggests that drip-NIs integration may reduce nitrate leaching and greenhouse gas emissions while sustaining productivity, but outcomes are context-dependent and may be constrained by salinity accumulation, acidification, oxygen limitation, ammonium toxicity, and off-target effects. Future research should prioritize spatially resolved measurements, sensor-guided fertigation, drip-compatible inhibitor formulations, and process-based decision support models. Collectively, this review reframes nitrogen management from simple fertilizer placement to rhizosphere process control for improving agricultural sustainability.","施肥农业土壤中的活性氮（Nr）损失仍是地下水硝酸盐污染和一氧化二氮（N₂O）排放的主要驱动因素之一，然而减排策略大多围绕投入优化而非土壤内氮转化的调控来设计。滴灌施肥和硝化抑制剂（NIs）各自已显示出提高氮效率的潜力，但二者的集成效应在灌溉和抑制剂相关文献中仍呈碎片化状态。因此，目前缺乏一个整合性的机理框架来解释滴灌诱导的微环境如何调控硝化抑制剂效能和氮转化。本文认为，将滴灌施肥与硝化抑制剂集成（以下称为滴灌-硝化抑制剂集成）最好理解为根际过程调控而非投入管理：滴灌界定了一个有边界的反应-传输域，硝化抑制剂则减缓铵态氮（NH₄⁺）向硝态氮（NO₃⁻）的转化。本综述旨在综合不同硝化抑制剂类型、作物和滴灌配置下的证据，考察局部湿润模式如何调控根区内铵态氮-硝态氮分配、微生物过程及抑制剂归趋。现有证据表明，硝化抑制剂效能可能取决于湿润体内氧气恢复、NH₄⁺有效性与活跃氨氧化菌之间的时空重叠，然而直接的空间验证仍然有限。基于这些认识，我们提出“设计型根际模型”（Designer Rhizosphere Model, DRM）作为一个概念性的、假设生成框架，将可控设计变量（滴头位置、灌溉波形、施肥化学、硝化抑制剂配方）与可测量状态变量（氧气有效性、NH₄⁺\u002FNO₃⁻场、抑制剂暴露）、微生物过程速率及产量标度的环境结果联系起来。DRM在实际应用前需要通过空间田间试验进行验证。由此形成的框架表明，滴灌-硝化抑制剂集成可能在维持生产力的同时减少硝酸盐淋失和温室气体排放，但结果依赖于具体情境，并可能受到盐分积累、酸化、氧气限制、铵毒害和脱靶效应的制约。未来研究应优先开展空间分辨测量、传感器引导施肥、滴灌兼容型抑制剂配方以及基于过程的决策支持模型。总体而言，本综述","Frontiers in Plant Science","2026-09-17T00:00:00Z",82,{"impact":51,"substance":74,"depth":51,"authority":18,"freshness":13,"relevant":21,"comment":192},"该综述提出滴灌与水肥一体化结合硝化抑制剂的根际过程调控框架，为农业绿色减排提供新思路，但尚属概念模型，需田间验证。",[194],{"name":188,"url":185},[56,27,196,197,198],"氮素管理","农业减排","根际调控",[200,201],"水肥一体化 农业减排 智慧灌溉 根际调控","水肥一体化 农业减排","水肥一体化农业减排智慧灌溉根际调控-2807","10.3389\u002Ffpls.2026.1894587",{"doi":203,"openalex_id":205,"authors":206,"venue":188,"cited_by_count":35,"oa_url":185,"card":215,"direction":221,"ingested_from":112},"W7213456426",[207,209,211,213],{"name":208,"orcid":8},"Muhammad Zain",{"name":210,"orcid":8},"Sheheryar Khan",{"name":212,"orcid":8},"Hongjun Lei",{"name":214,"orcid":8},"Abdul Ghafoor",{"tldr":216,"method":217,"finding":218,"direction":219,"opportunity":220},"综述提出滴灌施肥与硝化抑制剂整合应视为根际过程调控，并构建设计根际模型框架。","综述整合硝化抑制剂类型、作物与滴灌配置证据，提出概念性设计根际模型。","抑制剂效果取决于湿润体内氧气恢复、铵态氮与氨氧化菌的时空重叠，但缺乏空间验证。","农业绿色发展与碳","可开展空间分辨的田间试验验证设计根际模型，并开发传感器引导的滴灌施肥决策模型。","农业人工智能与决策模型","2026-09-17T23:31:04.332274Z",{"id":224,"title":225,"url":226,"summary":227,"summary_zh":228,"content":8,"source_name":229,"source_url":226,"published_at":189,"category":70,"cover_url":8,"hotness":13,"is_selected":14,"score":230,"score_detail":231,"sources":234,"tags":236,"search_phrases":237,"slug":240,"view_count":35,"doi":241,"paper":242,"created_at":254},2767,"Prototype Sistem Kendali Penyiraman Tanaman Otomatis Berbasis IoT dengan Mode Manual dan Otomatis Menggunakan ESP32 dan Platform Blynk","https:\u002F\u002Fdoi.org\u002F10.61132\u002Fjupiter.v4i5.1609","The increasing scarcity of water resources and the need for optimal soil moisture levels for plant growth have driven the development of smart irrigation systems based on the Internet of Things (IoT). This study presents a prototype of an automatic plant watering control system using an ESP32 microcontroller equipped with a capacitive soil moisture sensor, relay module, and I2C LCD interface. The system is designed with two operating modes: an automatic mode that independently activates the water pump based on soil moisture thresholds, and a manual mode that allows users to control the pump directly through the Blynk application on a smartphone. Sensor data is transmitted to the Blynk platform in real-time via a WiFi connection using virtual pin communication protocols. Test results show that the system is capable of reading soil moisture values with good accuracy, responding to changes in soil conditions in less than 2 seconds, and simultaneously displaying moisture status and pump conditions on both the LCD and the Blynk application. This system is expected to serve as a solution for efficient water use in urban and household agriculture, supporting the concept of sustainable and energy-efficient farming.","水资源日益稀缺以及植物生长对最佳土壤湿度的需求，推动了基于物联网（IoT）的智能灌溉系统的发展。本研究提出了一种自动植物浇水控制系统的原型，该系统采用ESP32微控制器，并配备电容式土壤湿度传感器、继电器模块和I2C液晶显示接口。系统设计了两种运行模式：自动模式根据土壤湿度阈值独立启动水泵，手动模式允许用户通过智能手机上的Blynk应用程序直接控制水泵。传感器数据通过WiFi连接，利用虚拟引脚通信协议实时传输至Blynk平台。测试结果表明，该系统能够以良好的精度读取土壤湿度值，在2秒内响应土壤条件变化，并同时在液晶显示屏和Blynk应用程序上显示湿度状态和水泵运行情况。该系统有望为城市和家庭农业中的高效用水提供解决方案，支持可持续和节能农业的理念。","Jupiter Publikasi Ilmu Keteknikan Industri Teknik Elektro dan Informatika",50,{"impact":122,"substance":18,"depth":75,"authority":232,"freshness":13,"relevant":21,"comment":233},5,"基于ESP32与Blynk的自动灌溉原型系统，方法常规、规模有限，属细分技术验证，公共价值与权威性一般，不宜进入每日精选。",[235],{"name":229,"url":226},[127,128,129,130,28],[238,239],"土壤墒情 智慧农业 智能灌溉 节水农业","土壤墒情 智慧农业","土壤墒情智慧农业智能灌溉节水农业-2767","10.61132\u002Fjupiter.v4i5.1609",{"doi":241,"openalex_id":243,"authors":244,"venue":229,"cited_by_count":35,"oa_url":226,"card":249,"direction":149,"ingested_from":112},"W7213462460",[245,247],{"name":246,"orcid":8},"Rifki Aldiansyah",{"name":248,"orcid":8},"Dani Sasmoko",{"tldr":250,"method":251,"finding":252,"direction":149,"opportunity":253},"基于ESP32和Blynk开发了带手动\u002F自动模式的自动浇水原型系统。","ESP32、电容式土壤湿度传感器、继电器、I2C LCD与Blynk物联网平台。","系统能准确读取土壤湿度，响应时间小于2秒，并实时同步显示状态。","可扩展多传感器融合与自适应阈值算法，提升灌溉决策的精准性和节能性。","2026-09-17T23:30:10.351496Z"]