[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3222":3,"related-3222":72},{"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":31,"secondary_topics":37,"classification":38,"search_phrases":66,"slug":69,"view_count":70,"doi":8,"paper":8,"created_at":71},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",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,53,60],{"code":32,"score":45,"supported":46,"title":47,"abstract":49,"tags":52},20,true,[48],"水资源",[50,48,51],"灌溉","农业节水",[26,27,28],{"code":54,"score":55,"supported":46,"title":56,"abstract":57,"tags":59},"H2",3,[],[58],"土壤",[],{"code":61,"score":55,"supported":46,"title":62,"abstract":63,"tags":65},"I1",[],[64],"智慧农业",[],[67,68],"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",2,"2026-09-23T00:04:29.727008Z",{"total":73,"page":21,"page_size":73,"items":74},6,[75,161,261,327,431,495],{"id":76,"title":77,"url":78,"summary":79,"summary_zh":80,"content":8,"source_name":81,"source_url":78,"published_at":82,"category":83,"cover_url":8,"hotness":13,"is_selected":14,"score":84,"score_detail":85,"sources":89,"tags":91,"primary_topic":95,"secondary_topics":96,"classification":108,"search_phrases":142,"slug":145,"view_count":146,"doi":147,"paper":148,"created_at":160},5552,"INTEGRATING IoT, REMOTE SENSING, AND ARTIFICIAL INTELLIGENCE FOR SMART IRRIGATION: A REVIEW OF ARCHITECTURES, METHODS, AND CHALLENGES","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23531020","This research paper reviews the integration of Internet of Things (IoT), remote sensing, and Artificial Intelligence (AI) in smart irrigation systems. It discusses system architectures, intelligent irrigation techniques, automated water management, key challenges, and future research opportunities to improve water-use efficiency and promote sustainable agriculture.","本文综述了物联网（Internet of Things, IoT）、遥感与人工智能（Artificial Intelligence, AI）在智能灌溉系统中的融合应用，探讨了系统架构、智能灌溉技术、自动化水资源管理、关键挑战及未来研究方向，以提升用水效率并促进可持续农业发展。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z","论文",75,{"impact":86,"substance":45,"depth":87,"authority":17,"freshness":20,"relevant":21,"comment":88},18,16,"系统综述物联网、遥感与AI融合的智能灌溉架构与方法，属智慧农业细分领域有实质增量的国际综述，值得入选。",[90],{"name":81,"url":78},[92,93,94,27,28],"农业人工智能","农业物联网","遥感",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[97,103],{"code":98,"slug":99,"name":100,"path":101,"parent_code":102},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"code":104,"slug":105,"name":106,"path":107,"parent_code":102},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"status":39,"locked":14,"version":40,"method":41,"evidence":109},{"candidates":110,"agricultural_evidence":46},[111,116,123,129,135],{"code":32,"score":112,"supported":46,"title":113,"abstract":114,"tags":115},19,[33],[50,48,33],[27,28],{"code":98,"score":86,"supported":46,"title":117,"abstract":119,"tags":122},[118],"IoT",[120,121,118],"物联网","internet of things",[93],{"code":104,"score":124,"supported":46,"title":125,"abstract":127,"tags":128},15,[126],"remote sensing",[94,126],[94],{"code":130,"score":17,"supported":46,"title":131,"abstract":133,"tags":134},"I2",[132],"artificial intelligence",[132],[92],{"code":136,"score":73,"supported":46,"title":137,"abstract":138,"tags":141},"H8",[],[139,140],"可持续农业","sustainable agriculture",[],[143,144],"IoT 遥感 AI 智能灌溉","农业人工智能 农业物联网 智慧灌溉 节水农业","IoT遥感AI智能灌溉-5552",0,"10.5281\u002Fzenodo.23531020",{"doi":147,"openalex_id":149,"authors":150,"venue":81,"cited_by_count":146,"oa_url":78,"card":153,"direction":157,"ingested_from":159},"W7223090389",[151],{"name":152,"orcid":8},"Patil",{"tldr":154,"method":155,"finding":156,"direction":157,"opportunity":158},"综述物联网、遥感与人工智能融合的智能灌溉系统架构、方法与挑战。","文献综述，梳理IoT、遥感与AI集成的系统架构与智能灌溉技术。","融合三者可提升用水效率并推动可持续农业，但仍面临关键挑战。","智慧农业 \u002F 农业物联网","可针对多源数据融合的实时灌溉决策模型与边缘部署开展实证研究。","openalex","2026-10-22T11:20:18.028252Z",{"id":162,"title":163,"url":164,"summary":165,"summary_zh":166,"content":8,"source_name":167,"source_url":164,"published_at":168,"category":83,"cover_url":8,"hotness":13,"is_selected":14,"score":169,"score_detail":170,"sources":174,"tags":176,"primary_topic":179,"secondary_topics":180,"classification":181,"search_phrases":208,"slug":211,"view_count":146,"doi":212,"paper":213,"created_at":260},4597,"Evaluating OpenET evapotranspiration estimates in California vineyards: Insights from the GRAPEX experiment","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agrformet.2026.111505","California agriculture faces escalating water-management challenges from drought and heat while adapting to groundwater-sustainability policies. Accurate field-scale evapotranspiration (ET) values are essential for irrigation decisions and water conservation. OpenET integrates six satellite-based ET models in Google Earth Engine to provide near–real-time actual ET (ET a ) at 30 m and daily resolution. We evaluated OpenET against eddy-covariance ET a from 11 wine-grape vineyards monitored by the Grape Remote sensing Atmospheric Profile & Evapotranspiration eXperiment (GRAPEX). We compared individual-model and ensemble ET a to tower ET a and conducted site-focused analyses to diagnose performance under key microclimate and management conditions. The OpenET ensemble ET a value closely matched tower ET a (daily R 2 = 0.82; MAE = 0.63 mm d -1 ; monthly R 2 = 0.89; MAE = 14.8 mm month -1 ) with negligible bias and generally outperformed individual models. Performance improved with temporal aggregation, consistent with reduced sensitivity to Landsat overpass timing and reference ET-based interpolation at the daily timestep. Skill was highest at monthly and seasonal scales, while daily errors increased during advective conditions and short-lived irrigation deficits, and tower energy-balance closure influenced inferred bias at advection-prone sites. Controlled experiments showed that thermal-based models detected imposed vine water-stress responses directionally (but were dampened in the ensemble) and that winter cover crops, and vine-row orientation produced consistent ET a shifts that propagated into thermal-based OpenET values. These results quantify when OpenET is most reliable for precision viticulture and provide guidance for using satellite ET a to support irrigation scheduling and water accounting in practice.","加利福尼亚农业在适应地下水可持续性政策的同时，面临着干旱和高温带来的日益加剧的水资源管理挑战。准确的田块尺度蒸散发（ET）值对于灌溉决策和节水至关重要。OpenET在Google Earth Engine中集成了六个基于卫星的ET模型，以30米空间分辨率和日时间分辨率提供近实时的实际蒸散发（ETa）。我们利用葡萄遥感大气廓线与蒸散发实验（GRAPEX）监测的11个酿酒葡萄园的通量观测ETa对OpenET进行了评估。我们将单个模型和集合ETa与塔站ETa进行了比较，并开展了站点聚焦分析，以诊断其在关键微气候和管理条件下的表现。OpenET集合ETa值与塔站ETa高度吻合（日尺度R²=0.82；MAE=0.63 mm d⁻¹；月尺度R²=0.89；MAE=14.8 mm month⁻¹），偏差可忽略不计，且总体优于单个模型。性能随时间聚合而提升，这与日时间步长下对Landsat过境时间和基于参考ET插值的敏感性降低相一致。在月和季节尺度上表现最佳，而日尺度误差在平流条件和短期灌溉亏缺期间增大，塔站能量平衡闭合影响了易发生平流站点推断偏差。控制实验表明，基于热红外的模型能够方向性地检测到施加的葡萄藤水分胁迫响应（但在集合中被削弱），且冬季覆盖作物和葡萄行向产生了持续的ETa变化，并传递至基于热红外的OpenET值中。这些结果量化了OpenET在精准葡萄栽培中最可靠的时机，并为在实践中利用卫星ETa支持灌溉调度和水核算提供了指导。","Agricultural and Forest Meteorology","2026-10-08T00:00:00Z",80,{"impact":86,"substance":171,"depth":86,"authority":18,"freshness":172,"relevant":21,"comment":173},22,8,"基于GRAPEX试验11个葡萄园涡度相关数据系统评估OpenET蒸散发产品精度，为卫星遥感支撑精准灌溉与农业水核算提供实证依据，方法扎实、结论可靠，对智慧农业水资源管理有参考价值。",[175],{"name":167,"url":164},[26,94,177,178,27],"葡萄园","蒸散发",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":182},{"candidates":183,"agricultural_evidence":46},[184,189,197,201],{"code":32,"score":45,"supported":46,"title":185,"abstract":187,"tags":188},[186],"evapotranspiration",[50,48,178,33,186],[26,27,178],{"code":190,"score":191,"supported":46,"title":192,"abstract":193,"tags":196},"B2",7,[],[194,195],"葡萄","grape",[177],{"code":104,"score":191,"supported":46,"title":198,"abstract":199,"tags":200},[],[94,126],[94],{"code":202,"score":73,"supported":46,"title":203,"abstract":204,"tags":207},"H7",[],[205,206],"干旱","drought",[],[209,210],"OpenET 蒸散发 葡萄园","GRAPEX 加州 葡萄园","OpenET蒸散发葡萄园-4597","10.1016\u002Fj.agrformet.2026.111505",{"doi":212,"openalex_id":214,"authors":215,"venue":167,"cited_by_count":146,"oa_url":164,"card":254,"direction":258,"ingested_from":159},"W7221033125",[216,219,221,223,225,227,229,231,233,235,237,240,242,244,246,248,250,252],{"name":217,"orcid":218},"Kyle  R. Knipper","https:\u002F\u002Forcid.org\u002F0000-0003-0889-8129",{"name":220,"orcid":8},"N. Bambach",{"name":222,"orcid":8},"M. Anderson",{"name":224,"orcid":8},"W. Kustas",{"name":226,"orcid":8},"A. J. McElrone",{"name":228,"orcid":8},"M. Swintek",{"name":230,"orcid":8},"F. Melton",{"name":232,"orcid":8},"D. Salazar-Martinez",{"name":234,"orcid":8},"L. Hipps",{"name":236,"orcid":8},"J. Alfieri",{"name":238,"orcid":239},"John H. Prueger","https:\u002F\u002Forcid.org\u002F0000-0002-7768-5760",{"name":241,"orcid":8},"L. McKee",{"name":243,"orcid":8},"S. Castro",{"name":245,"orcid":8},"P. Tolentino",{"name":247,"orcid":8},"I. Wright",{"name":249,"orcid":8},"A. Gal",{"name":251,"orcid":8},"N. Dokoozlian",{"name":253,"orcid":8},"M.M. Alsina",{"tldr":255,"method":256,"finding":257,"direction":258,"opportunity":259},"评估OpenET在加州葡萄园的蒸散发估算精度，并与涡度协方差观测对比。","利用GRAPEX实验11个葡萄园的涡度协方差数据，对比六种卫星模型及集合的ET。","OpenET集合在月\u002F季尺度精度高，日尺度在平流和灌溉亏缺时误差增大。","农业遥感与作物表型","可研究平流条件下卫星ET校正方法，或融合地面微气象数据提升日尺度精度。","2026-10-10T23:30:31.071040Z",{"id":262,"title":263,"url":264,"summary":265,"summary_zh":266,"content":8,"source_name":81,"source_url":264,"published_at":267,"category":83,"cover_url":8,"hotness":13,"is_selected":14,"score":268,"score_detail":269,"sources":271,"tags":273,"primary_topic":277,"secondary_topics":278,"classification":283,"search_phrases":310,"slug":313,"view_count":21,"doi":314,"paper":315,"created_at":326},4516,"SUSTAINABLE WATER MANAGEMENT AND FARM PRODUCTIVITY IN UZBEKISTAN: ECONOMIC OPPORTUNITIES AND CONSTRAINTS IN AGRO- MANAGEMENT","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23204413","This article analyzes the relationship between sustainable management of agricultural water resources and farm productivity in Uzbekistan from an agro-management perspective. Agriculture in the country is significantly dependent on irrigation water, and climate change, limited water resources, aging irrigation infrastructure, rising energy costs, and increasing demand for water make water management a strategic issue. The aim of the study is to identify the economic opportunities for increasing water use efficiency, the impact of modern irrigation technologies on farm productivity, and the main constraints to their implementation. The study was conducted based on a systematic narrative literature review. It analyzed international and institutional sources on water management, irrigation efficiency, climate-adapted agriculture, digital technologies, and agroeconomics. The results show that irrigation planning, drip irrigation, canal modernization, land leveling, soil moisture monitoring, remote sensing, and digital management systems can improve water use efficiency. However, the implementation of these technologies is limited by high initial investment, limited financial resources, lack of technical knowledge, infrastructure problems, and insufficient institutional coordination in water management. The study concluded that sustainable water management in Uzbekistan requires, in addition to technological solutions, training farmers, improving financial mechanisms, developing digital information systems, and strengthening cooperation between water management institutions.","本文从农业管理视角分析乌兹别克斯坦农业水资源可持续管理与农场生产力之间的关系。该国农业高度依赖灌溉用水，而气候变化、水资源有限、灌溉基础设施老化、能源成本上升以及用水需求不断增加，使水资源管理成为战略性问题。本研究旨在识别提高水资源利用效率的经济机遇、现代灌溉技术对农场生产力的影响及其推广实施的主要制约因素。研究基于系统性叙述性文献综述开展，分析了有关水资源管理、灌溉效率、气候适应性农业、数字技术和农业经济学的国际与机构来源资料。结果表明，灌溉规划、滴灌、渠道现代化、土地平整、土壤湿度监测、遥感以及数字化管理系统可以提高水资源利用效率。然而，这些技术的实施受到高额初始投资、资金有限、技术知识缺乏、基础设施问题以及水资源管理领域制度协调不足的制约。研究得出结论，乌兹别克斯坦实现可持续水资源管理，除技术解决方案外，还需要培训农民、完善金融机制、发展数字信息系统，并加强水资源管理机构之间的合作。","2026-10-07T00:00:00Z",70,{"impact":87,"substance":86,"depth":124,"authority":17,"freshness":20,"relevant":21,"comment":270},"系统综述揭示乌兹别克斯坦农业节水与数字灌溉技术的经济可行性与制度约束，对中亚农业信息化有参考价值，但非国内三农核心议题。",[272],{"name":81,"url":264},[274,275,27,28,276],"数字农业","农业遥感","乌兹别克斯坦",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[279],{"code":202,"slug":280,"name":281,"path":282,"parent_code":36},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"status":39,"locked":14,"version":40,"method":41,"evidence":284},{"candidates":285,"agricultural_evidence":46},[286,290,297,301,306],{"code":32,"score":19,"supported":46,"title":287,"abstract":288,"tags":289},[],[50,48,33],[27,28],{"code":202,"score":20,"supported":46,"title":291,"abstract":292,"tags":296},[],[293,294,295],"气候变化","气候适应","climate change",[],{"code":104,"score":191,"supported":46,"title":298,"abstract":299,"tags":300},[],[94,126],[275],{"code":54,"score":73,"supported":46,"title":302,"abstract":303,"tags":305},[],[58,304],"soil",[],{"code":61,"score":21,"supported":14,"title":307,"abstract":308,"tags":309},[],[],[274],[311,312],"乌兹别克斯坦 灌溉水效率","滴灌 农场生产力","乌兹别克斯坦灌溉水效率-4516","10.5281\u002Fzenodo.23204413",{"doi":314,"openalex_id":316,"authors":317,"venue":81,"cited_by_count":146,"oa_url":264,"card":320,"direction":258,"ingested_from":159},"W7220939870",[318],{"name":319,"orcid":8},"Yusupov Yusufbek",{"tldr":321,"method":322,"finding":323,"direction":324,"opportunity":325},"综述乌兹别克斯坦农业水资源可持续管理与农场生产力的关系及经济制约。","系统叙述性文献综述，分析灌溉效率、数字技术等国际机构资料。","滴灌、遥感等可提效，但受高投资、资金、技术和制度协调不足制约。","农业绿色发展与碳","可实证评估数字灌溉系统在中亚干旱区的小农采纳障碍与政策激励效果。","2026-10-09T23:30:28.853699Z",{"id":328,"title":329,"url":330,"summary":331,"summary_zh":332,"content":8,"source_name":333,"source_url":330,"published_at":334,"category":83,"cover_url":8,"hotness":13,"is_selected":14,"score":335,"score_detail":336,"sources":339,"tags":341,"primary_topic":345,"secondary_topics":346,"classification":351,"search_phrases":402,"slug":405,"view_count":146,"doi":406,"paper":407,"created_at":430},5483,"Soil Salinity under Climate Change in Pakistan: Emerging Challenges and Sustainable Management Approaches for Agriculture","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.883","Soil salinity is a major constraint to agricultural productivity, soil health, and food security in Pakistan, particularly under changing climatic conditions. Rising temperatures, increased evapotranspiration, irregular precipitation, droughts, flooding, and sea-level rise can intensify salt accumulation and alter soil–water interactions. This review examines the emerging challenges associated with climate change and soil salinity in Pakistan, focusing on their impacts on soil properties, crop physiology, agricultural production, and rural livelihoods. It discusses the mechanisms of soil salinity and sodicity, their spatial distribution, and the interactions among climate variability, irrigation practices, groundwater quality, and secondary salinization. Furthermore, sustainable management approaches are evaluated, including gypsum application, organic amendments, integrated nutrient management, efficient irrigation, drainage improvement, and appropriate leaching strategies. Climate-resilient approaches, such as conventional crop breeding, modern biotechnology, halophyte utilization, plant growth-promoting microorganisms, and mycorrhizal associations, are also explored. The review highlights the potential of remote sensing, geographic information systems, precision agriculture, and predictive modelling to support salinity monitoring and site-specific management. Despite these opportunities, important challenges remain, including insufficient long-term monitoring, limited region-specific data, economic constraints, and gaps in farmer awareness and institutional coordination. Addressing these challenges requires integrated research, effective agricultural policies, improved extension services, and collaboration among researchers, policymakers, and farming communities. Prioritizing locally adapted, economically feasible, and environmentally sustainable interventions can strengthen agricultural resilience, restore salt-affected soils, and protect freshwater resources. Overall, integrating climate adaptation with sustainable soil and water management is essential for maintaining agricultural productivity and improving long-term food security in Pakistan.","土壤盐渍化是制约巴基斯坦农业生产力、土壤健康和粮食安全的主要因素，在气候变化条件下尤为突出。气温升高、蒸散加剧、降水不规律、干旱、洪水以及海平面上升可能加剧盐分积累并改变土壤—水相互作用。本文综述了巴基斯坦气候变化与土壤盐渍化相关的新兴挑战，重点关注其对土壤性质、作物生理、农业生产和农村生计的影响。文章讨论了土壤盐渍化和钠质化的机制、其空间分布，以及气候变率、灌溉实践、地下水质量和次生盐渍化之间的相互作用。此外，评估了可持续管理途径，包括施用石膏、有机改良、综合养分管理、高效灌溉、排水改良和适宜的淋洗策略。还探讨了气候韧性方法，如常规作物育种、现代生物技术、盐生植物利用、植物促生微生物和菌根共生。本文强调了遥感、地理信息系统、精准农业和预测建模在支持盐渍化监测和因地制宜管理方面的潜力。尽管存在这些机遇，重要挑战依然存在，包括长期监测不足、区域特定数据有限、经济制约以及农民意识和制度协调方面的差距。应对这些挑战需要综合研究、有效的农业政策、改进的推广服务以及研究人员、政策制定者和农业社区之间的协作。优先采取适应当地、经济可行且环境可持续的干预措施，可增强农业韧性、修复盐渍化土壤并保护淡水资源。总体而言，将气候适应与可持续水土管理相结合，对于维持巴基斯坦农业生产力和改善长期粮食安全至关重要。","Kashmir Journal of Academic Research and Development","2026-10-20T00:00:00Z",66,{"impact":337,"substance":86,"depth":124,"authority":17,"freshness":172,"relevant":21,"comment":338},13,"综述性论文，系统梳理气候变化下巴基斯坦土壤盐渍化成因与可持续治理路径，兼具遥感与精准农业视角，对盐碱地治理议题有参考价值，但属区域性综述、非突破性成果。",[340],{"name":333,"url":330},[293,342,343,27,344],"盐碱地治理","遥感监测","土壤盐渍化",{"code":202,"slug":280,"name":281,"path":282,"parent_code":36},[347,350],{"code":54,"slug":304,"name":348,"path":349,"parent_code":36},"土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":352},{"candidates":353,"agricultural_evidence":46},[354,358,362,366,370,377,383,390,396],{"code":202,"score":86,"supported":46,"title":355,"abstract":356,"tags":357},[295],[293,294,205,295],[293],{"code":54,"score":124,"supported":46,"title":359,"abstract":360,"tags":361},[304],[58,304],[342],{"code":32,"score":13,"supported":46,"title":363,"abstract":364,"tags":365},[],[50,48,33,186],[27],{"code":104,"score":191,"supported":46,"title":367,"abstract":368,"tags":369},[],[94,126],[343],{"code":371,"score":73,"supported":46,"title":372,"abstract":373,"tags":376},"A8",[],[374,375],"粮食安全","food security",[],{"code":61,"score":73,"supported":46,"title":378,"abstract":379,"tags":382},[],[380,381],"精准农业","precision agriculture",[],{"code":384,"score":73,"supported":46,"title":385,"abstract":386,"tags":389},"I4",[],[387,388],"地理信息","geographic information",[],{"code":391,"score":55,"supported":46,"title":392,"abstract":393,"tags":395},"F3",[],[394],"养分管理",[],{"code":397,"score":55,"supported":46,"title":398,"abstract":399,"tags":401},"J1",[],[400],"农业政策",[],[403,404],"巴基斯坦 土壤盐渍化","盐碱地 遥感监测","巴基斯坦土壤盐渍化-5483","10.71317\u002Fkjard.2.10.2026.883",{"doi":406,"openalex_id":408,"authors":409,"venue":333,"cited_by_count":146,"oa_url":330,"card":425,"direction":258,"ingested_from":159},"W7222999158",[410,412,414,416,418,420,423],{"name":411,"orcid":8},"Asifa Naz",{"name":413,"orcid":8},"Muhammad Abu Baker Siddiq",{"name":415,"orcid":8},"Syed Asghar Hussain Shah",{"name":417,"orcid":8},"Shahrish Nawaz",{"name":419,"orcid":8},"Muhmmad Irfan",{"name":421,"orcid":422},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":424,"orcid":8},"Muhammad Nouman Khalid",{"tldr":426,"method":427,"finding":428,"direction":258,"opportunity":429},"综述气候变化下巴基斯坦土壤盐渍化的挑战与可持续管理途径。","文献综述，整合盐渍化机制、空间分布及遥感GIS与预测模型应用。","需将气候适应与水土管理结合，优先本地化、经济可行的干预措施。","可填补长期盐渍化监测与区域数据空白，发展遥感+预测模型的精准分区治理。","2026-10-21T23:30:23.059448Z",{"id":432,"title":433,"url":434,"summary":435,"summary_zh":436,"content":8,"source_name":437,"source_url":434,"published_at":438,"category":83,"cover_url":8,"hotness":13,"is_selected":14,"score":439,"score_detail":440,"sources":442,"tags":444,"primary_topic":447,"secondary_topics":448,"classification":450,"search_phrases":471,"slug":474,"view_count":146,"doi":475,"paper":476,"created_at":494},4888,"A MATLAB-based AI-IoT simulation framework for LSTM-driven smart solar irrigation and renewable energy management","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-74935-0","Smart irrigation offers a great avenue for better water use efficiency, and farming sustainability. However, most of the studies conducted so far tend to concentrate on the monitoring systems and platforms of the Internet of Things (IoT) or on the prediction models based on Artificial Intelligence (AI) (but not on both). To address this gap, this research study proposes an Artificial Intelligence (AI)-Internet of Things (IoT) system to predict the water consumption requirements and control the energy produced by a PV system along with a battery State of Charge (SOC) management system, Maximum Power Point Tracking (MPPT) algorithm, adaptive pump-speed control, and conceptual IoT communication architecture. A dataset of real environmental data from the NASA POWER database was used to test the framework for Egypt’s New Delta region. The LSTM model was able to classify the irrigation pump operating states with an accuracy of 96.11%, a recall of 0.9820, a precision of 0.9100, and an F1-score of 0.9446. It had a better performance than the two models, Artificial Neural Network (ANN) and Support Vector Machine (SVM) when compared and robustness testing with various independent training runs showed a stable performance in predicting. An estimated annual water-saving rate of 28.57% was obtained relative to the assumed conventional fixed-schedule baseline, while motor energy use was reduced by 74.74% through adaptive pump-speed control. A sensitivity analysis was also performed, showing that the model was stable to moderate variations in environmental and operating conditions. Combined, these findings suggest that the use of AI-based modelling for renewable energy management in the context of an irrigation simulation model built in MATLAB could be a valuable asset in improving irrigation efficiency and lowering water and energy use, which is a promising start for future implementation of hardware versions of intelligent, solar-powered irrigation devices.","智能灌溉为提高用水效率和农业可持续性提供了重要途径。然而，迄今为止大多数研究倾向于集中在物联网（IoT）的监测系统和平台，或基于人工智能（AI）的预测模型（但很少两者兼顾）。为弥补这一空白，本研究提出了一种人工智能（AI）-物联网（IoT）系统，用于预测用水需求并控制光伏系统产生的能量，同时包含电池荷电状态（SOC）管理系统、最大功率点跟踪（MPPT）算法、自适应泵速控制以及概念性物联网通信架构。研究采用NASA POWER数据库中的真实环境数据集，在埃及新三角洲地区对该框架进行了测试。LSTM模型能够对灌溉泵运行状态进行分类，准确率达到96.11%，召回率为0.9820，精确率为0.9100，F1分数为0.9446。与人工神经网络（ANN）和支持向量机（SVM）两个模型相比，该模型表现更优，且通过多次独立训练运行进行的鲁棒性测试表明其在预测方面具有稳定性能。相对于假设的传统固定调度基线，估计年节水率为28.57%，而通过自适应泵速控制，电机能耗降低了74.74%。研究还进行了敏感性分析，表明该模型对环境和运行条件的中等程度变化具有稳定性。综合来看，这些发现表明，在MATLAB中构建的灌溉仿真模型背景下，将基于AI的建模用于可再生能源管理，可能是提高灌溉效率、降低水和能源消耗的有价值手段，这为未来实现智能太阳能灌溉设备的硬件版本提供了一个有前景的开端。","Scientific Reports","2026-10-12T00:00:00Z",78,{"impact":87,"substance":171,"depth":86,"authority":18,"freshness":172,"relevant":21,"comment":441},"该研究提出AI-IoT融合的太阳能灌溉仿真框架，LSTM预测精度达96.11%，节水28.57%、节能74.74%，方法新颖且数据可靠，对智慧农业与农业能源管理有参考价值。",[443],{"name":437,"url":434},[64,92,445,28,446],"智能灌溉","光伏农业",{"code":98,"slug":99,"name":100,"path":101,"parent_code":102},[449],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":451},{"candidates":452,"agricultural_evidence":46},[453,458,462,467],{"code":98,"score":454,"supported":46,"title":455,"abstract":456,"tags":457},17,[118],[120,121,118],[],{"code":32,"score":87,"supported":46,"title":459,"abstract":460,"tags":461},[33],[50,33],[445,28],{"code":130,"score":463,"supported":46,"title":464,"abstract":465,"tags":466},4,[],[132],[92],{"code":61,"score":21,"supported":14,"title":468,"abstract":469,"tags":470},[],[],[64],[472,473],"MATLAB AI-IoT 太阳能灌溉","LSTM 智能灌溉 埃及新三角洲","MATLABAI-IoT太阳能灌溉-4888","10.1038\u002Fs41598-026-74935-0",{"doi":475,"openalex_id":477,"authors":478,"venue":437,"cited_by_count":146,"oa_url":488,"card":489,"direction":157,"ingested_from":159},"W7221571268",[479,482,485],{"name":480,"orcid":481},"Ahmed Mashaly","https:\u002F\u002Forcid.org\u002F0009-0007-7009-4531",{"name":483,"orcid":484},"Ragab Abdelaziz El-Sehiemy","https:\u002F\u002Forcid.org\u002F0000-0002-3340-4031",{"name":486,"orcid":487},"Mohamed M. Elgohary","https:\u002F\u002Forcid.org\u002F0000-0003-4441-7812","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-74935-0.pdf",{"tldr":490,"method":491,"finding":492,"direction":157,"opportunity":493},"提出MATLAB中AI-IoT仿真框架，用LSTM预测灌溉需水并管理光伏与电池。","NASA POWER环境数据，LSTM对比ANN\u002FSVM，含MPPT与自适应泵速","LSTM分类准确率96.11%，节水28.57%，电机能耗降74.74%。","可延伸至真实硬件部署与多区域验证，并融合实时气象与土壤墒情数据。","2026-10-14T23:30:13.060384Z",{"id":496,"title":497,"url":498,"summary":499,"summary_zh":500,"content":8,"source_name":501,"source_url":498,"published_at":438,"category":83,"cover_url":8,"hotness":13,"is_selected":14,"score":502,"score_detail":503,"sources":506,"tags":508,"primary_topic":512,"secondary_topics":517,"classification":519,"search_phrases":546,"slug":549,"view_count":146,"doi":550,"paper":551,"created_at":568},4887,"Farming under fire: Conflict, displacement, and the collapse of food security in south Lebanon","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jrurstud.2026.104458","Context Lebanon's agricultural sector and food systems are facing unprecedented pressures amid overlapping crises: economic collapse, climate change, and the 2023-2025 armed conflict with Israel. Objective This paper investigates the compounded impact of conflict-induced displacement and climate stress on rural livelihoods, agricultural productivity, and food security in South Lebanon-an area marked by strategic agricultural value and climate vulnerability. Methods Drawing on 29 in-depth interviews with displaced farmers, cooperative leaders, and food producers from conflict-affected areas such as Marjayoun, Nabatieh, and Bint Jbeil, this qualitative study uncovers key disruptions in agricultural infrastructure, local markets, and household food access. Interview findings are also triangulated with published secondary quantitative data (IPC, FAO, WFP, and World Bank assessments). Results and conclusion s: The findings reveal how displacement led to the abandonment of farms, loss of livestock, contamination of crops, and collapse of cooperative models, exacerbating existing economic and climate stressors like currency depreciation, water scarcity, unpredictable rainfall, and reduced yields. Gendered impacts, informal solidarity mechanisms, and persistent energy and input shortages emerged as critical themes. The study highlights the urgent need for an integrated recovery strategy focused on smart irrigation, climate-resilient crops, market reintegration, and financial support for smallholders. The analysis is guided by a conceptual framework that treats conflict-induced displacement and climate stress as interlocking drivers of livelihood erosion, market collapse, and food and nutrition insecurity, with gendered and refugee-specific vulnerabilities at the core. Significance As Lebanon faces a worsening food insecurity crisis, with 1.17 million people in IPC Phase 3 or higher, rebuilding agriculture is no longer a developmental luxury but an existential necessity for national food security.","背景 黎巴嫩的农业部门和粮食系统在多重危机交织下面临前所未有的压力：经济崩溃、气候变化以及2023至2025年与以色列的武装冲突。目标 本文研究冲突导致的流离失所与气候压力对黎巴嫩南部农村生计、农业生产力和粮食安全的叠加影响——该地区具有重要的农业战略价值和气候脆弱性。方法 本定性研究基于对来自马尔杰永、纳巴蒂耶和宾特朱拜勒等受冲突影响地区的流离失所农民、合作社领导人和粮食生产者的29次深度访谈，揭示了农业基础设施、地方市场和家庭粮食获取方面的关键中断。访谈结果还与已发表的二手定量数据（IPC、FAO、WFP和世界银行的评估）进行了三角验证。结果与结论 研究结果揭示了流离失所如何导致农田弃耕、牲畜损失、作物污染和合作社模式崩溃，加剧了现有的经济和气候压力因素，如货币贬值、水资源短缺、降雨不可预测和产量下降。性别影响、非正式互助机制以及持续存在的能源和投入品短缺成为关键主题。研究强调迫切需要一项综合恢复战略，重点关注智能灌溉、气候韧性作物、市场再融入以及对小农户的财政支持。分析以一个概念框架为指导，该框架将冲突导致的流离失所和气候压力视为生计侵蚀、市场崩溃以及粮食和营养不安全的相互关联驱动因素，并将性别和难民特有的脆弱性置于核心位置。意义 随着黎巴嫩面临日益恶化的粮食不安全危机，有117万人处于IPC第3阶段或更高阶段，重建农业不再是一种发展上的奢侈，而是国家粮食安全的生存必需。","Journal of Rural Studies",85,{"impact":171,"substance":504,"depth":86,"authority":18,"freshness":172,"relevant":21,"comment":505},23,"基于29个深度访谈与IPC\u002FFAO等数据的定性研究，揭示冲突叠加气候压力对南黎巴嫩农业与粮食安全的复合冲击，并提出智慧灌溉与气候韧性作物等恢复策略，对冲突地区农业重建具参考价值。",[507],{"name":501,"url":498},[374,509,27,510,511],"气候韧性","小农户支持","冲突与农业",{"code":371,"slug":513,"name":514,"path":515,"parent_code":516},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[518],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":520},{"candidates":521,"agricultural_evidence":46},[522,526,530,534,540],{"code":371,"score":124,"supported":46,"title":523,"abstract":524,"tags":525},[375],[374,375],[374],{"code":32,"score":13,"supported":46,"title":527,"abstract":528,"tags":529},[],[50,48,33],[27],{"code":202,"score":191,"supported":46,"title":531,"abstract":532,"tags":533},[],[293,295],[509],{"code":535,"score":55,"supported":46,"title":536,"abstract":537,"tags":539},"C",[],[538],"livestock",[],{"code":541,"score":55,"supported":46,"title":542,"abstract":543,"tags":545},"G2",[],[544],"小农户",[],[547,548],"南黎巴嫩 粮食安全","冲突 流离失所 生计","南黎巴嫩粮食安全-4887","10.1016\u002Fj.jrurstud.2026.104458",{"doi":550,"openalex_id":552,"authors":553,"venue":501,"cited_by_count":146,"oa_url":498,"card":562,"direction":157,"ingested_from":159},"W7221536688",[554,556,559],{"name":555,"orcid":8},"Yasmine Fakhry",{"name":557,"orcid":558},"Jasmin Lilian Diab","https:\u002F\u002Forcid.org\u002F0000-0003-4158-7728",{"name":560,"orcid":561},"Hussein F. Hassan","https:\u002F\u002Forcid.org\u002F0000-0003-4215-6815",{"tldr":563,"method":564,"finding":565,"direction":566,"opportunity":567},"通过访谈与二手数据，揭示黎巴嫩南部冲突与气候压力叠加导致农业崩溃和粮食不安全。","29份深度访谈，结合IPC、FAO、WFP和世界银行二手定量数据三角验证。","流离失所致农田废弃、牲畜损失、合作社瓦解，加剧经济与气候压力，117万人处于IPC第三阶段以上。","数字乡村与农业信息化","可探索冲突\u002F气候脆弱区智慧灌溉、气候韧性作物与市场重建的数字化恢复策略。","2026-10-14T23:30:11.877241Z"]