[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4887":3,"related-4887":111},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":45,"search_phrases":85,"slug":88,"view_count":89,"doi":90,"paper":91,"created_at":110},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。",null,"Journal of Rural Studies","2026-10-12T00:00:00Z","论文",10,false,85,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,23,18,14,8,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"粮食安全","气候韧性","智慧灌溉","小农户支持","冲突与农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":53},[51,58,64,72,79],{"code":33,"score":52,"supported":53,"title":54,"abstract":56,"tags":57},15,true,[55],"food security",[27,55],[27],{"code":40,"score":13,"supported":53,"title":59,"abstract":60,"tags":63},[],[61,62,41],"灌溉","水资源",[29],{"code":65,"score":66,"supported":53,"title":67,"abstract":68,"tags":71},"H7",7,[],[69,70],"气候变化","climate change",[28],{"code":73,"score":74,"supported":53,"title":75,"abstract":76,"tags":78},"C",3,[],[77],"livestock",[],{"code":80,"score":74,"supported":53,"title":81,"abstract":82,"tags":84},"G2",[],[83],"小农户",[],[86,87],"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",0,"10.1016\u002Fj.jrurstud.2026.104458",{"doi":90,"openalex_id":92,"authors":93,"venue":10,"cited_by_count":89,"oa_url":6,"card":102,"direction":108,"ingested_from":109},"W7221536688",[94,96,99],{"name":95,"orcid":9},"Yasmine Fakhry",{"name":97,"orcid":98},"Jasmin Lilian Diab","https:\u002F\u002Forcid.org\u002F0000-0003-4158-7728",{"name":100,"orcid":101},"Hussein F. Hassan","https:\u002F\u002Forcid.org\u002F0000-0003-4215-6815",{"tldr":103,"method":104,"finding":105,"direction":106,"opportunity":107},"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。","智慧农业 \u002F 农业物联网","openalex","2026-10-14T23:30:11.877241Z",{"total":112,"page":22,"page_size":112,"items":113},6,[114,184,255,313,385,454],{"id":115,"title":116,"url":117,"summary":118,"summary_zh":119,"content":9,"source_name":120,"source_url":117,"published_at":121,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":122,"score_detail":123,"sources":126,"tags":128,"primary_topic":133,"secondary_topics":134,"classification":136,"search_phrases":167,"slug":170,"view_count":22,"doi":171,"paper":172,"created_at":183},4502,"THE IMPORTANCE OF IRRIGATED AGRICULTURAL LANDSCAPES IN THE FERGANA VALLEY FOR ENSURING FOOD SECURITY","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23242201","This thesis analyzes the role of irrigated agricultural landscapes formed in the Uzbek part of the Fergana Valley in ensuring food security from a geographical perspective. The Fergana, Andijan, and Namangan regions were selected as the study area. The interrelationships of irrigated lands with natural-geographical conditions, water resources, soil cover, and economic activities are examined. Regional differences in the volume of agricultural production are analyzed by province. The study also highlights the impact of factors such as water scarcity, soil salinization, deterioration of land reclamation conditions, and intensive anthropogenic use on the productive potential of landscapes. The results substantiate the need for integrated management of water and land resources in the use of irrigated agro-landscapes, monitoring based on GIS and remote sensing, and the wider adoption of water-saving technologies to ensure long-term food security.","本论文从地理学视角分析了费尔干纳谷地乌兹别克斯坦部分形成的灌溉农业景观在保障粮食安全中的作用。研究选取费尔干纳、安集延和纳曼干三个地区作为研究区域，考察了灌溉土地与自然地理条件、水资源、土壤覆盖及经济活动之间的相互关系。按省域分析了农业生产总量的区域差异。研究还揭示了水资源短缺、土壤盐渍化、土地改良条件恶化以及高强度人为利用等因素对景观生产潜力的影响。研究结果证实，在利用灌溉农业景观时，有必要对水土资源实行综合管理，基于GIS和遥感进行监测，并更广泛地采用节水技术，以保障长期粮食安全。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-08T00:00:00Z",65,{"impact":124,"substance":19,"depth":52,"authority":124,"freshness":21,"relevant":22,"comment":125},12,"以费尔干纳盆地为例分析灌溉农业景观与粮食安全，涉及盐碱化、遥感监测与节水技术，对中亚农业信息化有参考价值，但地域性较强。",[127],{"name":120,"url":117},[27,129,130,131,132],"节水灌溉","遥感监测","灌溉农业","盐碱化治理",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[135],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":137},{"candidates":138,"agricultural_evidence":53},[139,143,147,154,161],{"code":33,"score":52,"supported":53,"title":140,"abstract":141,"tags":142},[55],[27,55],[27],{"code":40,"score":21,"supported":53,"title":144,"abstract":145,"tags":146},[],[61,62],[131,129],{"code":148,"score":66,"supported":53,"title":149,"abstract":150,"tags":153},"I3",[],[151,152],"遥感","remote sensing",[130],{"code":155,"score":112,"supported":53,"title":156,"abstract":157,"tags":160},"H2",[],[158,159],"土壤","soil",[],{"code":162,"score":74,"supported":53,"title":163,"abstract":164,"tags":166},"I4",[],[165],"GIS",[],[168,169],"费尔干纳盆地 灌溉农业","乌兹别克斯坦 粮食安全","费尔干纳盆地灌溉农业-4502","10.5281\u002Fzenodo.23242201",{"doi":171,"openalex_id":173,"authors":174,"venue":120,"cited_by_count":89,"oa_url":117,"card":177,"direction":181,"ingested_from":109},"W7220934542",[175],{"name":176,"orcid":9},"Boratov Alijon",{"tldr":178,"method":179,"finding":180,"direction":181,"opportunity":182},"分析费尔干纳谷地灌溉农业景观对粮食安全的作用及区域差异。","地理学分析结合GIS与遥感监测，评估水土资源与农业生产。","水资源短缺、土壤盐渍化等威胁景观生产力，需综合管理水土地资源。","农业遥感与作物表型","可结合遥感与GIS构建盐渍化与灌溉效率动态监测模型，支撑节水决策。","2026-10-09T23:30:25.704297Z",{"id":185,"title":186,"url":187,"summary":188,"summary_zh":189,"content":9,"source_name":120,"source_url":187,"published_at":121,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":190,"score_detail":191,"sources":194,"tags":196,"primary_topic":200,"secondary_topics":201,"classification":203,"search_phrases":240,"slug":243,"view_count":22,"doi":244,"paper":245,"created_at":254},4501,"THE IMPACT OF AGRICULTURAL LANDSCAPE USE AROUND KOKAND CITY ON FOOD SECURITY","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23244244","This thesis examines the impact of agricultural landscape use around Kokand City on food security based on a geographical approach. The study area encompasses agricultural territories directly adjacent to Kokand City and functionally connected to the city’s food supply. Landscape, territorial-comparative, statistical, and ecological-geographical analysis methods were used in the study. Based on official statistical data, it is shown that agricultural, forestry, and fishery products are produced within Kokand City itself. During January–September 2024, the volume of products from these sectors in the city amounted to 264.8 billion UZS, including 2.7 thousand tons of vegetables, 4.9 thousand tons of fruits, 7.4 thousand tons of milk, and 2.1 thousand tons of meat. At the same time, intensive irrigated farming, soil salinization, the efficiency of water resource use, and urbanization processes were assessed as key factors affecting the sustainability of agricultural landscapes. The study substantiates the need to monitor peri-urban agro-landscapes using GIS and remote sensing, improve irrigation efficiency, and control the transformation of productive agricultural land to strengthen food security.","本论文基于地理学方法，考察了浩罕市周边农业景观利用对粮食安全的影响。研究区域涵盖与浩罕市直接相邻且在功能上与城市粮食供应相联系的农业地域。研究中采用了景观分析、地域比较、统计及生态地理分析方法。基于官方统计数据，研究表明浩罕市自身范围内生产了农业、林业和渔业产品。2024年1月至9月期间，该市这些部门的产品总量达2648亿苏姆，其中包括2700吨蔬菜、4900吨水果、7400吨牛奶和2100吨肉类。同时，集约化灌溉农业、土壤盐渍化、水资源利用效率及城市化进程被评估为影响农业景观可持续性的关键因素。研究论证了利用地理信息系统（GIS）和遥感技术监测城郊农业景观、提高灌溉效率以及控制生产性农业用地转变以加强粮食安全的必要性。",61,{"impact":21,"substance":19,"depth":20,"authority":124,"freshness":192,"relevant":22,"comment":193},9,"基于GIS与遥感的城郊农业景观研究，数据具体但属地方性案例，方法可借鉴。",[195],{"name":120,"url":187},[27,130,165,197,198,199],"灌溉效率","盐碱化","城郊农业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[202],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":204},{"candidates":205,"agricultural_evidence":53},[206,210,215,219,224,228,234],{"code":33,"score":52,"supported":53,"title":207,"abstract":208,"tags":209},[55],[27,55],[27],{"code":40,"score":192,"supported":53,"title":211,"abstract":212,"tags":214},[],[61,62,41,213],"water resource",[],{"code":148,"score":66,"supported":53,"title":216,"abstract":217,"tags":218},[],[151,152],[130],{"code":162,"score":66,"supported":53,"title":220,"abstract":221,"tags":223},[],[222,165],"地理信息",[165],{"code":155,"score":112,"supported":53,"title":225,"abstract":226,"tags":227},[],[158,159],[],{"code":229,"score":74,"supported":53,"title":230,"abstract":231,"tags":233},"B1",[],[232],"蔬菜",[],{"code":235,"score":74,"supported":53,"title":236,"abstract":237,"tags":239},"D",[],[238],"渔业",[],[241,242],"Kokand 农业景观 粮食安全","城郊农业 GIS 遥感","Kokand农业景观粮食安全-4501","10.5281\u002Fzenodo.23244244",{"doi":244,"openalex_id":246,"authors":247,"venue":120,"cited_by_count":89,"oa_url":187,"card":249,"direction":181,"ingested_from":109},"W7220903359",[248],{"name":176,"orcid":9},{"tldr":250,"method":251,"finding":252,"direction":181,"opportunity":253},"基于地理方法分析科坎德市周边农业景观利用对粮食安全的影响。","景观与生态地理分析、统计及GIS遥感监测建议。","灌溉、盐渍化、水资源效率与城市化是影响农业景观可持续性的关键因素。","可结合GIS与遥感构建城郊农业景观动态监测体系，评估灌溉效率与土地转化对粮食安全的影响。","2026-10-09T23:30:25.643757Z",{"id":256,"title":257,"url":258,"summary":259,"summary_zh":9,"content":9,"source_name":260,"source_url":9,"published_at":261,"category":262,"cover_url":9,"hotness":13,"is_selected":14,"score":263,"score_detail":264,"sources":266,"tags":268,"primary_topic":272,"secondary_topics":273,"classification":280,"search_phrases":307,"slug":310,"view_count":311,"doi":9,"paper":9,"created_at":312},1549,"内蒙古托克托县：高标准农田建设夯实粮食安全\"耕\"基——智慧节水灌溉设备全面推广落地","https:\u002F\u002Fwww.farmer.com.cn\u002F2026\u002F09\u002F03\u002F991027484.html","托克托县建有 3 座总蓄水量近 1 万立方米的蓄水池稳定保障农田灌溉用水，高效滴灌系统持续为耕地赋能。土地规模化流转落地见效，农户既拿到稳定土地流转租金，又能在家门口务工实现双份收入。村里建立\"村集体+农户\"共管共享模式，依托高标准农田系统化建设，智慧节水灌溉设备全面推广落地，有效破解农业生产水资源受限、种植方式粗放等问题，加速推动传统农业生产模式向现代化、智能化、集约化转型升级。","农民日报·中国农网","2026-09-03T00:00:00Z","报道",56,{"impact":124,"substance":20,"depth":13,"authority":124,"freshness":21,"relevant":22,"comment":265},"地方高标准农田建设案例，有具体数据和模式，但影响范围有限。",[267],{"name":260,"url":258},[269,270,27,271],"乡村振兴","高标准农田","智慧节水",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[274,279],{"code":275,"slug":276,"name":277,"path":278,"parent_code":44},"H1","farmland","耕地保护与高标准农田","\u002Ftopic\u002Fenvironment\u002Ffarmland",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":281},{"candidates":282,"agricultural_evidence":53},[283,289,293,297,302],{"code":275,"score":284,"supported":53,"title":285,"abstract":287,"tags":288},20,[270,286],"农田建设",[270],[270],{"code":40,"score":20,"supported":53,"title":290,"abstract":291,"tags":292},[61],[61,62],[],{"code":33,"score":192,"supported":53,"title":294,"abstract":295,"tags":296},[27],[],[27],{"code":80,"score":74,"supported":53,"title":298,"abstract":299,"tags":301},[],[300],"土地流转",[],{"code":303,"score":22,"supported":14,"title":304,"abstract":305,"tags":306},"G",[],[],[269],[308,309],"高标准农田 乡村振兴 智慧节水 粮食安全","高标准农田 乡村振兴","高标准农田乡村振兴智慧节水粮食安全-1549",2,"2026-09-04T00:05:30.182055Z",{"id":314,"title":315,"url":316,"summary":317,"summary_zh":9,"content":9,"source_name":120,"source_url":316,"published_at":318,"category":12,"cover_url":9,"hotness":319,"is_selected":14,"score":320,"score_detail":321,"sources":324,"tags":328,"primary_topic":332,"secondary_topics":333,"classification":341,"search_phrases":368,"slug":371,"view_count":22,"doi":372,"paper":373,"created_at":384},1255,"Optimizing Water Management in Agriculture: The Role of IoT-Powered Smart Irrigation Systems in Addressing Global Food Security and Water Scarcity","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.21413238","Objective: This study aims to explore the impact of IoT-powered smart irrigation systems on optimizing water management in agriculture, with a specific focus on addressing global food security and mitigating water scarcity challenges. Materials and Methods: The research employs a mixed-methods approach, combining quantitative data analysis from agricultural case studies and qualitative interviews with farmers and agricultural experts. The study assesses the effectiveness of smart irrigation technologies, including soil moisture sensors, weather forecasting tools, and automated irrigation systems, in improving water use efficiency and crop yields. Results and Discussion: The findings indicate that IoT-powered smart irrigation systems significantly enhance water management practices in agriculture. These systems result in a reduction of up to 30% in water usage, while simultaneously increasing crop productivity by 15-20%. Additionally, the integration of real-time data analytics allows for more precise irrigation scheduling, which contributes to sustainable agricultural practices and improved food security. Conclusions: This research contributes to the existing literature by providing empirical evidence of the benefits of IoT technologies in agriculture. It highlights the potential of smart irrigation systems as a viable solution to the dual challenges of food security and water scarcity. The findings emphasize the need for policy interventions and investment in technology to facilitate the adoption of these systems in farming practices worldwide.","2026-08-30T00:00:00Z",25,70,{"impact":19,"substance":17,"depth":322,"authority":124,"freshness":311,"relevant":22,"comment":323},16,"论文实证智能灌溉节水30%增产20%，对农业水资源管理有参考价值，但时效性较低。",[325,326],{"name":120,"url":316},{"name":120,"url":327},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.21413237",[329,27,330,331],"智慧农业","智能灌溉","水资源管理",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[334,335],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"code":336,"slug":337,"name":338,"path":339,"parent_code":340},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"status":46,"locked":14,"version":47,"method":48,"evidence":342},{"candidates":343,"agricultural_evidence":53},[344,349,353,359,363],{"code":40,"score":345,"supported":53,"title":346,"abstract":347,"tags":348},13,[41],[41],[330,331],{"code":33,"score":124,"supported":53,"title":350,"abstract":351,"tags":352},[55],[55],[27],{"code":336,"score":354,"supported":53,"title":355,"abstract":357,"tags":358},11,[356],"IoT",[356],[],{"code":155,"score":74,"supported":53,"title":360,"abstract":361,"tags":362},[],[159],[],{"code":364,"score":22,"supported":14,"title":365,"abstract":366,"tags":367},"I1",[],[],[329],[369,370],"水资源管理 智慧农业 智能灌溉 粮食安全","水资源管理 智慧农业","水资源管理智慧农业智能灌溉粮食安全-1255","10.5281\u002Fzenodo.21413238",{"doi":372,"openalex_id":374,"authors":375,"venue":120,"cited_by_count":89,"oa_url":316,"card":379,"direction":108,"ingested_from":109},"W7169531097",[376],{"name":377,"orcid":378},"Mahdi Sabati Gavgani","https:\u002F\u002Forcid.org\u002F0000-0002-4585-9199",{"tldr":380,"method":381,"finding":382,"direction":108,"opportunity":383},"研究物联网智能灌溉系统优化农业用水，提升粮食安全与缓解水资源短缺。","混合方法：案例定量分析与农户专家定性访谈，评估传感器、天气预报和自动灌溉技术。","智能灌溉节水30%，增产15-20%，实时数据分析优化灌溉调度。","可探索智能灌溉系统在不同作物、气候和农户采纳障碍下的适应性，以及政策激励对推广的影响。","2026-09-01T04:03:11.304099Z",{"id":386,"title":387,"url":388,"summary":389,"summary_zh":390,"content":9,"source_name":391,"source_url":388,"published_at":392,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":393,"score_detail":394,"sources":396,"tags":398,"primary_topic":401,"secondary_topics":402,"classification":403,"search_phrases":431,"slug":434,"view_count":112,"doi":435,"paper":436,"created_at":453},3534,"From river health to sustainable irrigation water resources: a five-year integrated ecological assessment for climate-resilient food systems in semi-arid Iraq","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1968827","Freshwater degradation in semi-arid regions can simultaneously affect river ecological condition and the reliability of water resources for irrigated food production. This study integrated ecological, irrigation-water, hydroclimatic, and crop-specific assessments across the Euphrates, Shatt Al-Hillah, and Al-Diwaniyah river systems in central Iraq over 5 years (2020–2024). Fifteen stations were monitored seasonally, generating 300 station-season observations. Physicochemical variables, major ions, nutrients, irrigation-water indicators, benthic diatoms, macroinvertebrates, habitat condition, hydroclimatic variables, and crop-specific irrigation constraints were evaluated within a common analytical framework. A persistent spatial gradient was observed across the three river systems. Mean electrical conductivity increased from 855.4 ± 226.3 μS cm −1 in the Euphrates to 1295.5 ± 247.1 μS cm −1 in Shatt Al-Hillah and 1791.9 ± 375.4 μS cm −1 in Al-Diwaniyah, accompanied by increasing Na + , Cl − , nutrients, and irrigation-water restrictions. Overall, 90.3% of observations exhibited slight-to-moderate salinity restriction, whereas severe salinity occurred only in Al-Diwaniyah. Hydroclimatic variability was associated with temporal salinity risk, with the strongest EC anomalies occurring during the summers of 2022 and 2024 and significant negative associations between EC and both SPEI-3 and SPEI-6. Biological condition declined along the same gradient: diatom and macroinvertebrate diversity, EPT representation, habitat condition, and dissolved oxygen were highest in the Euphrates and lowest in Al-Diwaniyah. Principal component analysis explained 89.67% of total variance on the first two axes and clearly contrasted biological condition with salinity, ionic enrichment, and nutrient concentrations. Crop-specific assessment further showed increasing agricultural constraints, with maize being the most sensitive crop and constrained in 100% of observations at all Al-Diwaniyah stations. These findings demonstrate that river ecological condition, irrigation-water reliability, hydroclimatic variability, and crop-specific suitability are closely interconnected. Integrating these dimensions can support more adaptive water allocation and climate-resilient irrigation management in semi-arid food-production systems.","半干旱地区的淡水退化会同时影响河流生态状况与灌溉粮食生产的水资源可靠性。本研究在伊拉克中部的幼发拉底河、希拉河和迪瓦尼耶河三个河系开展了为期5年（2020—2024年）的生态、灌溉用水、水文气候和作物特异性评估的综合研究。研究对15个站点进行季节性监测，共获得300个站点-季节观测数据。在统一的分析框架内，评估了理化变量、主要离子、营养盐、灌溉水指标、底栖硅藻、大型无脊椎动物、栖息地状况、水文气候变量以及作物特异性灌溉限制。三个河系之间呈现出持续的空间梯度。平均电导率从幼发拉底河的855.4 ± 226.3 μS cm⁻¹升至希拉河的1295.5 ± 247.1 μS cm⁻¹和迪瓦尼耶河的1791.9 ± 375.4 μS cm⁻¹，同时伴随Na⁺、Cl⁻、营养盐的增加及灌溉用水限制的加剧。总体而言，90.3%的观测表现为轻度至中度盐度限制，而严重盐度仅出现在迪瓦尼耶河。水文气候变率与盐度的时间风险相关，最强的电导率异常出现在2022年和2024年夏季，且电导率与SPEI-3和SPEI-6均呈显著负相关。生物状况沿同一梯度下降：硅藻和大型无脊椎动物多样性、EPT（蜉蝣目-襀翅目-毛翅目）代表性、栖息地状况和溶解氧在幼发拉底河最高，在迪瓦尼耶河最低。主成分分析在前两个轴上解释了89.67%的总方差，清晰地将生物状况与盐度、离子富集和营养盐浓度形成对比。作物特异性评估进一步表明农业限制日益加剧，其中玉米是最敏感的作物，在迪瓦尼耶河所有站点的100%观测中均受到限制。这些发现表明，河流生态状况、灌溉水可靠性、水文气候变率和作物特异性适宜性密切相关。整合这些维度可支持半干旱粮食生产系统中更具适应性的水资源分配和气候韧性灌溉管理。","Frontiers in Sustainable Food Systems","2026-09-25T00:00:00Z",78,{"impact":322,"substance":17,"depth":19,"authority":345,"freshness":192,"relevant":22,"comment":395},"五年跨三河水生态与灌溉水质综合评估，数据规模大、结论可靠，对半干旱区气候韧性灌溉管理有参考价值。",[397],{"name":391,"url":388},[27,28,331,399,400],"盐渍化","灌溉水质",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":404},{"candidates":405,"agricultural_evidence":53},[406,410,417,423,427],{"code":40,"score":19,"supported":53,"title":407,"abstract":408,"tags":409},[41],[61,62,41],[331],{"code":411,"score":112,"supported":53,"title":412,"abstract":413,"tags":416},"A3",[],[414,415],"玉米","maize",[],{"code":65,"score":418,"supported":53,"title":419,"abstract":420,"tags":422},4,[],[421],"干旱",[28],{"code":33,"score":22,"supported":14,"title":424,"abstract":425,"tags":426},[],[],[27],{"code":155,"score":22,"supported":14,"title":428,"abstract":429,"tags":430},[],[],[399],[432,433],"伊拉克 幼发拉底河 灌溉水质","半干旱区 盐渍化 灌溉水","伊拉克幼发拉底河灌溉水质-3534","10.3389\u002Ffsufs.2026.1968827",{"doi":435,"openalex_id":437,"authors":438,"venue":391,"cited_by_count":89,"oa_url":388,"card":447,"direction":451,"ingested_from":109},"W7214391385",[439,442,444],{"name":440,"orcid":441},"Bassam M. Al-Yaseen","https:\u002F\u002Forcid.org\u002F0009-0003-6019-6447",{"name":443,"orcid":9},"Suad Ghali Kadhim Alahmed",{"name":445,"orcid":446},"Nawres Abdulkareem Hussein","https:\u002F\u002Forcid.org\u002F0009-0009-9147-1919",{"tldr":448,"method":449,"finding":450,"direction":451,"opportunity":452},"伊拉克半干旱区三河系五年综合评估，揭示水质退化与灌溉可靠性及作物适宜性的联动。","15站点季节性监测300次，整合理化、生物、水文气候与作物灌溉约束指标。","盐度沿河系梯度上升，90.3%观测受轻中度盐度限制，玉米在Al-Diwaniyah全部受限。","农业绿色发展与碳","可构建耦合河流生态与作物灌溉适宜性的多尺度预警模型，支撑半干旱区自适应配水。","2026-09-26T23:30:07.865370Z",{"id":455,"title":456,"url":457,"summary":458,"summary_zh":459,"content":9,"source_name":460,"source_url":457,"published_at":461,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":462,"score_detail":463,"sources":465,"tags":467,"primary_topic":471,"secondary_topics":476,"classification":479,"search_phrases":528,"slug":531,"view_count":89,"doi":532,"paper":533,"created_at":552},5553,"Artificial Intelligence–Driven Precision Agriculture Systems: Engineering Frameworks for Climate-Resilient Food Production","https:\u002F\u002Fdoi.org\u002F10.53982\u002Fajerd.2026.01.14-j","Climate change, soil issues, water scarcity, and the increasing need for food worldwide mean we need smart farming systems that can manage resources flexibly. Old farming methods used the same inputs and simple rules for decisions. AI can help us manage resources better by adapting and optimizing them as we deal with complex environmental factors. This paper looks closely at AI-powered precision agriculture systems designed to make food production more resilient to changing weather. The authors reviewed research from 2021 to 2026 in agricultural engineering, computer engineering, and environmental systems. The authors examined how machine learning, deep learning, reinforcement learning, computer vision, robotics, and IoT sensors are used for predicting crop yields, spotting diseases, improving irrigation, managing nutrients, and automating field tasks. Our analysis shows that hybrid deep learning models (CNN-LSTM) are better than single models for predicting crop yields over space and time. Reinforcement learning algorithms are also better at adjusting irrigation cycles when weather is unpredictable. Using edge computing for system design reduces delays and improves real-time decision-making compared to traditional cloud-based systems. However, there are still big challenges with understanding how AI models work, having enough diverse data, ensuring cybersecurity, setting common standards, and making these systems affordable, especially in developing countries. To tackle these problems, we suggest a framework that combines AI analysis, distributed sensor networks, adaptive controls, and climate risk assessments. The authors provided critical insights into essential research gaps and outline a technological roadmap towards achieving sustainable, resilient and intelligent agricultural systems.","气候变化、土壤问题、水资源短缺以及全球日益增长的粮食需求，意味着我们需要能够灵活管理资源的智能农业系统。传统农业方法对相同的投入采用固定模式，并依赖简单规则进行决策。人工智能可以帮助我们更好地管理资源，通过适应和优化资源利用来应对复杂的环境因素。本文深入探讨了人工智能驱动的精准农业系统，旨在使粮食生产对不断变化的天气更具韧性。作者综述了2021年至2026年间农业工程、计算机工程和环境系统领域的研究。作者考察了机器学习、深度学习、强化学习、计算机视觉、机器人技术及物联网传感器如何被用于作物产量预测、病害识别、灌溉优化、养分管理和田间作业自动化。我们的分析表明，混合深度学习模型（CNN-LSTM）在时空作物产量预测方面优于单一模型。在天气不可预测的情况下，强化学习算法在调整灌溉周期方面也表现更优。与传统基于云的系统相比，采用边缘计算进行系统设计可降低延迟并改善实时决策能力。然而，在理解人工智能模型的工作原理、获取足够多样化的数据、确保网络安全、制定通用标准以及使这些系统具备可负担性方面，仍存在重大挑战，尤其是在发展中国家。为应对这些问题，我们提出了一个融合人工智能分析、分布式传感器网络、自适应控制和气候风险评估的框架。作者对关键研究空白提供了重要见解，并勾勒了实现可持续、韧性和智能农业系统的技术路线图。","ABUAD Journal of Engineering Research and Development (AJERD)","2026-10-21T00:00:00Z",80,{"impact":19,"substance":17,"depth":19,"authority":345,"freshness":192,"relevant":22,"comment":464},"系统综述AI驱动精准农业的工程框架与技术路线，方法梳理扎实、结论有参考价值，但属综述类论文，产业落地影响有限。",[466],{"name":460,"url":457},[329,468,469,470,28],"农业人工智能","物联网","精准农业",{"code":472,"slug":473,"name":474,"path":475,"parent_code":340},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",[477,478],{"code":336,"slug":337,"name":338,"path":339,"parent_code":340},{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":480},{"candidates":481,"agricultural_evidence":53},[482,493,498,504,508,512,516,522],{"code":472,"score":19,"supported":53,"title":483,"abstract":485,"tags":492},[484],"artificial intelligence",[486,487,488,489,490,491],"深度学习","机器学习","计算机视觉","machine learning","deep learning","computer vision",[468],{"code":364,"score":322,"supported":53,"title":494,"abstract":496,"tags":497},[495],"precision agriculture",[470,495],[329,470],{"code":336,"score":13,"supported":53,"title":499,"abstract":500,"tags":503},[],[469,501,356,502],"边缘计算","edge computing",[469],{"code":40,"score":192,"supported":53,"title":505,"abstract":506,"tags":507},[],[61,62,41],[],{"code":65,"score":66,"supported":53,"title":509,"abstract":510,"tags":511},[],[69,70],[28],{"code":155,"score":112,"supported":53,"title":513,"abstract":514,"tags":515},[],[158,159],[],{"code":517,"score":74,"supported":53,"title":518,"abstract":519,"tags":521},"A7",[],[520],"间作",[],{"code":523,"score":74,"supported":53,"title":524,"abstract":525,"tags":527},"F3",[],[526],"养分管理",[],[529,530],"AI 精准农业 气候韧性","CNN-LSTM 作物产量预测","AI精准农业气候韧性-5553","10.53982\u002Fajerd.2026.01.14-j",{"doi":532,"openalex_id":534,"authors":535,"venue":460,"cited_by_count":89,"oa_url":457,"card":546,"direction":108,"ingested_from":109},"W7223121456",[536,539,541,543],{"name":537,"orcid":538},"Olumayowa J. Iyanda","https:\u002F\u002Forcid.org\u002F0000-0002-5340-9884",{"name":540,"orcid":9},"Oluwadare OYEBODE",{"name":542,"orcid":9},"Iretiayo Adelaiye",{"name":544,"orcid":545},"Ayomide Afolabi","https:\u002F\u002Forcid.org\u002F0000-0002-5171-886X",{"tldr":547,"method":548,"finding":549,"direction":550,"opportunity":551},"综述2021-2026年AI驱动精准农业系统，提出气候韧性粮食生产工程框架。","综述机器学习、深度学习、强化学习、计算机视觉、机器人与物联网在精准农业中的应用。","CNN-LSTM混合模型和强化学习在产量预测与灌溉调度上优于单一方法，边缘计算提升实时性。","农业人工智能与决策模型","可研究边缘计算与强化学习结合的轻量级灌溉决策系统，并探索发展中国家低成本部署与标准化路径。","2026-10-22T11:20:18.151376Z"]