[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3171":3,"related-3171":56},{"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":28,"search_phrases":34,"slug":37,"view_count":38,"doi":39,"paper":40,"created_at":55},3171,"WATER RESOURCES – AN IMPORTANT FACTOR IN HUMAN LIFE AND SUSTAINABLE DEVELOPMENT","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22882203","This thesis discusses the importance of water resources for human life, agriculture, industry and environmental sustainability. Today, climate change, population growth, urbanization and increasing water demand in different economic sectors have made the rational and efficient use of water resources an increasingly important issue. In Central Asia, particularly in Uzbekistan, limited water availability requires improving irrigation efficiency, reducing water losses and expanding modern water-saving technologies. The study examines the main areas of water use, protection of water quality, water conservation in agriculture, wastewater reuse, groundwater protection and the application of digital technologies in water management. Under the conditions of Uzbekistan, drip and sprinkler irrigation, modernization of irrigation canals, automated water accounting, remote sensing and geographic information systems can contribute significantly to improving the efficiency and sustainability of water resources management.","本论文探讨了水资源对人类生活、农业、工业及环境可持续性的重要意义。当今，气候变化、人口增长、城市化以及各经济部门用水需求的不断增加，使水资源的合理高效利用成为日益重要的议题。在中亚地区，尤其是乌兹别克斯坦，水资源可利用量有限，亟需提高灌溉效率、减少水量损失并推广现代节水技术。本研究考察了水资源利用的主要领域、水质保护、农业节水、废水回用、地下水保护以及数字技术在水管理中的应用。在乌兹别克斯坦的条件下，滴灌与喷灌、灌溉渠道现代化改造、自动化水量核算、遥感与地理信息系统可显著提升水资源管理的效率与可持续性。",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-09-21T00:00:00Z","论文",25,false,60,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,16,14,10,8,1,"聚焦乌兹别克斯坦水资源与数字灌溉技术，属农业信息化范畴，但为区域性综述论文，公共影响与信源权威度一般。",[25,26],{"name":10,"url":6},{"name":10,"url":27},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22882204",[29,30,31,32,33],"数字农业","节水灌溉","水资源管理","遥感监测","中亚农业",[35,36],"乌兹别克斯坦 节水灌溉","遥感 GIS 水资源管理","乌兹别克斯坦节水灌溉-3171",0,"10.5281\u002Fzenodo.22882203",{"doi":39,"openalex_id":41,"authors":42,"venue":10,"cited_by_count":38,"oa_url":6,"card":47,"direction":53,"ingested_from":54},"W7213866152",[43,45],{"name":44,"orcid":9},"ERGASHALIYEV MUXAMMADAZIZ",{"name":46,"orcid":9},"G'aniyev Samandar",{"tldr":48,"method":49,"finding":50,"direction":51,"opportunity":52},"探讨水资源对人类生活与可持续发展的重要性，并以乌兹别克斯坦为例分析节水灌溉与数字化管理。","文献综述与案例分析，涉及滴灌、喷灌、遥感、GIS和自动化水核算。","在乌兹别克斯坦，滴灌、渠道现代化、遥感与GIS可显著提升水资源管理效率与可持续性。","农业绿色发展与碳","可结合遥感与物联网，量化中亚干旱区节水灌溉对作物产量与碳排放的协同效应。","农业遥感与作物表型","openalex","2026-09-22T23:30:23.028018Z",{"total":57,"page":22,"page_size":57,"items":58},6,[59,110,159,195,245,276],{"id":60,"title":61,"url":62,"summary":63,"summary_zh":64,"content":9,"source_name":65,"source_url":62,"published_at":66,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":67,"score_detail":68,"sources":72,"tags":74,"search_phrases":78,"slug":81,"view_count":38,"doi":82,"paper":83,"created_at":109},3189,"Influence of Drought Events on Vegetation and Land Use Dynamics Utilising Orbital Data: A Case Study in the Pajeú River Basin, Pernambuco","https:\u002F\u002Fdoi.org\u002F10.29150\u002Fjhrs.v16i03.269030","Monitoring drought in the northeastern Semi-Arid region is a challenge compounded by high rainfall variability and a scarcity of in situ monitoring networks, which makes the use of geotechnologies for water resource management essential. This study aimed to analyze land use and occupation dynamics from 2002 to 2022 in the Pajeú River basin in Pernambuco, Brazil, and their relationship with drought events, using indices based on remote sensing. The Standardized Precipitation Index (SPI) was applied to characterize meteorological drought, while the Vegetation Health Index (VHI) and Normalized Vegetation Water Supply Index (NVSWI) were used to assess the ecosystem's response. The results indicated that the period from 2011 to 2016 was the most severe and prolonged drought, which was reinforced by low VHI and NVSWI values, indicating water stress on vegetation during the same period. The correlation analysis revealed that land use classes, such as vegetation and water, responded directly to drought, whereas degraded anthropogenic areas, including pasture and exposed soil, exhibited the opposite behavior. The joint analysis of the three indices and land use and occupation data provided a comprehensive understanding of the evolution of drought in the study area, highlighting the importance of a multiple approach to monitoring complex environments.","监测半干旱东北部地区的干旱是一项挑战，降雨变率大且原位监测网络稀缺使这一挑战更加复杂，因此利用地理技术进行水资源管理至关重要。本研究旨在利用基于遥感的指数，分析2002年至2022年巴西伯南布哥州帕热乌河流域的土地利用与覆盖动态及其与干旱事件的关系。采用标准化降水指数（SPI）表征气象干旱，同时使用植被健康指数（VHI）和归一化植被供水指数（NVSWI）评估生态系统的响应。结果表明，2011年至2016年是最严重且持续时间最长的干旱期，同期较低的VHI和NVSWI值进一步证实了这一点，表明植被在此期间受到水分胁迫。相关性分析显示，植被和水体等土地利用类别对干旱有直接响应，而牧场和裸露土壤等退化的人为区域则表现出相反的行为。三个指数与土地利用及覆盖数据的联合分析为理解研究区域干旱演变提供了全面的认识，凸显了多方法途径在监测复杂环境中的重要性。","Journal of Hyperspectral Remote Sensing","2026-09-19T00:00:00Z",61,{"impact":21,"substance":69,"depth":70,"authority":17,"freshness":21,"relevant":22,"comment":71},18,15,"该研究利用遥感指数分析巴西半干旱流域干旱与植被动态，方法扎实但属区域性案例，对国内三农信息化参考价值有限。",[73],{"name":65,"url":62},[31,32,75,76,77],"土地利用","干旱监测","植被指数",[79,80],"Pajeú River basin 干旱 遥感","SPI VHI NVSWI 植被","PajeúRiverbasin干旱遥感-3189","10.29150\u002Fjhrs.v16i03.269030",{"doi":82,"openalex_id":84,"authors":85,"venue":65,"cited_by_count":38,"oa_url":103,"card":104,"direction":53,"ingested_from":54},"W7213792298",[86,89,92,95,98,100],{"name":87,"orcid":88},"Juliana Farias Santos de Moraes","https:\u002F\u002Forcid.org\u002F0000-0002-3241-844X",{"name":90,"orcid":91},"Estephania Silva Jovino","https:\u002F\u002Forcid.org\u002F0000-0002-6694-3533",{"name":93,"orcid":94},"Alex Vinícius de Melo Vieira","https:\u002F\u002Forcid.org\u002F0009-0002-5204-3734",{"name":96,"orcid":97},"Anderson Luiz Ribeiro de Paiva","https:\u002F\u002Forcid.org\u002F0000-0003-3475-1454",{"name":99,"orcid":9},"Sylvana Sylvana Melo dos Santos",{"name":101,"orcid":102},"Leidjane Maria Maciel de Oliveira","https:\u002F\u002Forcid.org\u002F0000-0003-1251-6998","https:\u002F\u002Fperiodicos.ufpe.br\u002Frevistas\u002Fjhrs\u002Farticle\u002Fdownload\u002F269030\u002F52814",{"tldr":105,"method":106,"finding":107,"direction":53,"opportunity":108},"利用遥感指数分析巴西Pajeú河流域2002-2022年干旱对植被与土地利用的影响。","采用SPI、VHI和NVSWI指数，结合遥感数据与土地利用分类。","2011-2016年干旱最严重，植被和水体响应直接，而牧场和裸地呈相反趋势。","可融合多源遥感与机器学习，构建半干旱区干旱-植被-土地利用耦合预警模型。","2026-09-22T23:30:26.557816Z",{"id":111,"title":112,"url":113,"summary":114,"summary_zh":115,"content":9,"source_name":116,"source_url":113,"published_at":117,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":118,"score_detail":119,"sources":124,"tags":126,"search_phrases":129,"slug":132,"view_count":38,"doi":133,"paper":134,"created_at":158},2674,"Bi-decadal drought assessment in Northwestern Algeria: Integrating meteorological and remote sensing indices","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00704-026-06526-y","Abstract Drought is an escalating hazard in arid and semi‑arid regions with significant implications for agriculture, ecosystems, and water resources. This study presents a 2003–2023 integrated assessment of meteorological and vegetation-based drought across northwest Algeria, using the Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset and Moderate Resolution Imaging Spectroradiometer (MODIS) remotely‑sensed products. Meteorological drought was quantified with the Standardized Precipitation Index (SPI) approximated using standardized precipitation anomalies, at 3‑, 6‑, and 12‑month timescales, whereas vegetation and thermal stress were assessed with MODIS‑derived Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). Temporal trends were evaluated using the Mann–Kendall test and Sen’s slope estimator, and relationships between precipitation and vegetation were examined with Pearson correlation. We identified recurrent drought episodes in 2007–2009, 2011–2012, and a pronounced dry phase from 2020–2023. Mann–Kendall results indicated widespread drying across all SPI timescales, with 56% of the study area showing significant negative trends at SPI‑3 (mean Sen’s slope = − 0.10 yr⁻ 1 ). Vegetation indices mirrored these changes, with VHI showing substantially more degraded area than improvement (4.89% vs 0.51% of the domain), while VCI and TCI responses were spatially heterogeneous. The correlation analysis showed moderate but statistically significant relationships between SPI and VHI at the short-term scale (SPI-3 vs. VHI, r = 0.567, p = 0.007), followed by SPI-6 ( r = 0.509, p = 0.019), indicating that vegetation response is more strongly associated with short- to medium-term precipitation variability. These results demonstrate the value of combining meteorological and satellite vegetation indices for regional drought monitoring and early warning, and underscore an ongoing shift toward increased aridity with implications for water management and agricultural adaptation.","摘要 干旱是干旱和半干旱地区日益加剧的灾害，对农业、生态系统和水资源具有重大影响。本研究利用气候灾害组红外降水与站点数据（CHIRPS）数据集和中分辨率成像光谱仪（MODIS）遥感产品，对阿尔及利亚西北部2003—2023年气象干旱和基于植被的干旱进行了综合评估。气象干旱采用标准化降水指数（SPI）量化，该指数通过标准化降水距平在3个月、6个月和12个月时间尺度上近似计算；植被和热胁迫则通过MODIS衍生的植被状态指数（VCI）、温度状态指数（TCI）和植被健康指数（VHI）进行评估。采用Mann–Kendall检验和Sen斜率估计器评估时间趋势，并使用Pearson相关分析检验降水与植被之间的关系。我们识别出2007—2009年、2011—2012年的反复干旱事件，以及2020—2023年显著的干旱阶段。Mann–Kendall结果表明，所有SPI时间尺度上均呈现大范围干旱化趋势，研究区56%的面积在SPI-3上表现出显著负趋势（Sen斜率均值 = −0.10 yr⁻¹）。植被指数反映了这些变化，VHI显示退化面积远大于改善面积（分别占研究区的4.89%和0.51%），而VCI和TCI的响应在空间上具有异质性。相关分析表明，SPI与VHI在短期尺度上存在中等但统计显著的关系（SPI-3与VHI，r = 0.567，p = 0.007），其次为SPI-6（r = 0.509，p = 0.019），表明植被响应与短期至中期降水变率的关系更为密切。这些结果证明了结合气象指标和卫星植被指数进行区域干旱监测与预警的价值，并凸显了干旱化持续加剧的趋势及其对水资源管理和农业适应的影响。","Theoretical and Applied Climatology","2026-09-15T00:00:00Z",71,{"impact":17,"substance":120,"depth":121,"authority":122,"freshness":21,"relevant":22,"comment":123},21,17,13,"基于CHIRPS与MODIS的阿尔及利亚西北部20年干旱综合评估，方法整合气象与遥感指标，结论对区域干旱监测与农业适应有参考价值，但属境外区域研究，国内产业影响有限。",[125],{"name":116,"url":113},[127,31,32,77,128],"农业气象","干旱预警",[130,131],"水资源管理 农业气象 干旱预警 植被指数","水资源管理 农业气象","水资源管理农业气象干旱预警植被指数-2674","10.1007\u002Fs00704-026-06526-y",{"doi":133,"openalex_id":135,"authors":136,"venue":116,"cited_by_count":38,"oa_url":113,"card":153,"direction":53,"ingested_from":54},"W7213346236",[137,140,143,146,148,151],{"name":138,"orcid":139},"Ramzi Benhizia","https:\u002F\u002Forcid.org\u002F0000-0002-8967-2051",{"name":141,"orcid":142},"Brahim Abdelkebir","https:\u002F\u002Forcid.org\u002F0000-0002-8761-8537",{"name":144,"orcid":145},"Behnam Ata","https:\u002F\u002Forcid.org\u002F0000-0002-9690-7269",{"name":147,"orcid":9},"Mukovhe Vele Singo",{"name":149,"orcid":150},"Kwanele Phinzi","https:\u002F\u002Forcid.org\u002F0000-0003-1865-7011",{"name":152,"orcid":9},"György Szabó",{"tldr":154,"method":155,"finding":156,"direction":53,"opportunity":157},"整合气象与遥感指数评估阿尔及利亚西北部2003–2023年干旱演变。","CHIRPS降水与MODIS植被指数，SPI、VCI、TCI、VHI，Mann-","全区普遍变干，SPI-3显著负趋势占56%，VHI退化面积远大于改善，短期降水与植被相关性最强。","可引入机器学习融合多源遥感与气象数据，构建区域干旱预警与作物适应性决策模型。","2026-09-16T23:30:30.795285Z",{"id":160,"title":161,"url":162,"summary":163,"summary_zh":164,"content":9,"source_name":10,"source_url":162,"published_at":165,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":166,"score_detail":167,"sources":171,"tags":175,"search_phrases":179,"slug":182,"view_count":38,"doi":183,"paper":184,"created_at":194},2422,"IMPACT OF CLIMATE CHANGE ON AGRICULTURE IN KHORESM REGION","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22734293","This article analyzes the impact of climate change on agriculture in the Khorezm region and its main trends. The study takes into account the natural and climatic conditions of the region, the high dependence of agriculture on irrigation, and the characteristics of water resource use. As a result of climate change, the increase in air temperature, increased evaporation, increased risk of drought, and increased demand for water resources are assessed as the main factors affecting agricultural production. It also covers changes in temperature and humidity conditions, soil salinity, water scarcity, and their impact on the development of cotton, grain, vegetable and melon crops, and livestock. The article develops scientific and practical recommendations on priority areas for adapting agriculture in the Khorezm region to climate change, including the introduction of water-saving irrigation technologies, the use of climate-resistant crop varieties, the prevention of soil salinization, the improvement of irrigation and land reclamation systems, and the use of GIS and remote sensing technologies. The results of the study are of great importance in ensuring the sustainability of agriculture in the region and determining measures to adapt to future climate risks.","本文分析了气候变化对花剌子模地区农业的影响及其主要趋势。研究考虑了该地区的自然气候条件、农业对灌溉的高度依赖以及水资源利用特点。气候变化导致的气温升高、蒸发加剧、干旱风险增加以及对水资源需求的上升，被评估为影响农业生产的主要因素。文章还涵盖了温湿条件变化、土壤盐渍化、水资源短缺及其对棉花、粮食、蔬菜瓜类作物和畜牧业发展的影响。本文就花剌子模地区农业适应气候变化的优先方向提出了科学实用的建议，包括推广节水灌溉技术、采用抗气候胁迫的作物品种、防止土壤盐渍化、改善灌溉与土地改良系统，以及利用地理信息系统（GIS）和遥感技术。研究结果对于保障该地区农业可持续性、确定应对未来气候风险的适应措施具有重要意义。","2026-09-13T00:00:00Z",72,{"impact":70,"substance":168,"depth":18,"authority":17,"freshness":169,"relevant":22,"comment":170},20,9,"基于咸海周边灌溉农业区的实证研究，提出节水灌溉、抗逆品种与GIS遥感等适应对策，对干旱区农业气候适应有参考价值，但属区域性研究，影响层级有限。",[172,173],{"name":10,"url":162},{"name":10,"url":174},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22734292",[176,30,32,177,178],"气候变化","农业适应","土壤盐渍化",[180,181],"土壤盐渍化 农业适应 气候变化 节水灌溉","土壤盐渍化 农业适应","土壤盐渍化农业适应气候变化节水灌溉-2422","10.5281\u002Fzenodo.22734293",{"doi":183,"openalex_id":185,"authors":186,"venue":10,"cited_by_count":38,"oa_url":162,"card":189,"direction":53,"ingested_from":54},"W7212422330",[187],{"name":188,"orcid":9},"Khalmuratov Rajabboy",{"tldr":190,"method":191,"finding":192,"direction":53,"opportunity":193},"分析气候变化对花剌子模地区农业的影响并提出适应对策。","结合区域气候与灌溉数据，评估温度、蒸发、盐渍化及作物影响。","升温、蒸发与干旱加剧威胁灌溉农业，需节水灌溉、抗逆品种及GIS遥感。","可结合遥感与GIS量化盐渍化与干旱胁迫，构建区域气候适应决策模型。","2026-09-14T23:30:24.437863Z",{"id":196,"title":197,"url":198,"summary":199,"summary_zh":200,"content":9,"source_name":201,"source_url":198,"published_at":202,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":203,"score_detail":204,"sources":207,"tags":209,"search_phrases":213,"slug":216,"view_count":38,"doi":217,"paper":218,"created_at":244},2324,"Inferring groundwater overdraft in data-scarce arid agro-ecosystems: a semi-empirical remote sensing framework applied to the Elfeija watershed, Morocco","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffeart.2026.1914670","Introduction Small-scale irrigated agriculture in arid regions relies heavily on unmetered groundwater, creating an “invisible pumping” threat to aquifer sustainability. Monitoring these diffuse withdrawals remains a critical challenge for water governance. This study proposes a synergistic multi-sensor remote sensing workflow to infer groundwater abstraction and assess its impact on local water stress using a semi-empirical thermal-phenological model. Methods We leveraged high-resolution vegetation phenology (NDVI) from Sentinel-2 and thermal data (LST) from Landsat 8\u002F9 over the Elfeija watershed, Morocco (2020–2024). By isolating the thermal-phenological anomaly (ΔLST) between irrigated plots and natural reference areas, we translated the surface cooling effect into evapotranspiration fluxes and pumping volumes. To ensure physical plausibility and avoid circularity, the approach was constrained by independent bottom-up agronomic benchmarks alongside a multi-tier cross-comparison against global models (MOD16, ERA5-Land, GLEAM), and a rigorous Monte Carlo uncertainty propagation integrating both parametric and recharge uncertainties. Results The analysis reveals a distinct seasonal signature of irrigation. Probabilistic modeling indicates that the inferred annual pumping for 2022 (central estimates: 5.85–6.79 Mm 3 ) strongly suggests a state of severe overdraft, with a high probability (P > 80%) of exceeding the estimated renewable aquifer recharge (4.70 Mm 3 ). Furthermore, the framework successfully disentangled climatic triggers from anthropogenic forcing, capturing an anomalous, water-intensive late-season agricultural cycle in 2024. Discussion While the lack of in-situ piezometric data limits absolute ground-truthing, the multi-source convergence (global models and local infrastructure data) robustly brackets the overdraft scenario. The proposed semi-empirical inference workflow provides a scalable, cost-effective framework for data-scarce regions, offering river basin agencies a proactive tool to identify over-extraction hotspots and negotiate sustainable water quotas.","引言 干旱地区的小规模灌溉农业严重依赖未计量的地下水，对含水层可持续性构成了“隐形抽水”威胁。监测这些分散取水仍是水治理面临的关键挑战。本研究提出一种多传感器协同遥感工作流程，利用半经验热-物候模型推断地下水开采量并评估其对局部水资源压力的影响。方法 我们利用Sentinel-2的高分辨率植被物候（NDVI）和Landsat 8\u002F9的热数据（LST），覆盖摩洛哥Elfeija流域（2020—2024年）。通过分离灌溉地块与自然参照区之间的热-物候异常（ΔLST），我们将地表冷却效应转化为蒸散发通量和抽水量。为确保物理合理性和避免循环论证，该方法受到独立自下而上的农学基准约束，并与全球模型（MOD16、ERA5-Land、GLEAM）进行多层级交叉比较，同时通过严格的蒙特卡洛不确定性传播整合参数不确定性和补给不确定性。结果 分析揭示了灌溉明显的季节性特征。概率建模表明，2022年推断的年抽水量（中心估计值：5.85—6.79 Mm³）强烈提示存在严重超采状态，超过估计可再生含水层补给量（4.70 Mm³）的概率较高（P > 80%）。此外，该框架成功地将气候触发因素与人为强迫区分开来，捕捉到2024年异常的、高耗水的晚季农业周期。讨论 尽管缺乏原位测压数据限制了绝对的地面验证，但多源汇聚（全球模型和本地基础设施数据）稳健地界定了超采情景。所提出的半经验推断工作流程为数据稀缺地区提供了可扩展、成本效益高的框架，为流域机构提供了主动识别过度开采热点并协商可持续用水配额的工具。","Frontiers in Earth Science","2026-09-11T00:00:00Z",79,{"impact":69,"substance":205,"depth":69,"authority":122,"freshness":21,"relevant":22,"comment":206},22,"提出多源遥感半经验框架推断数据稀缺区地下水超采，方法新颖、结论可靠，对农业水资源治理有参考价值。",[208],{"name":201,"url":198},[31,32,210,211,212],"智慧灌溉","地下水超采","干旱农业",[214,215],"地下水超采 水资源管理 干旱农业 智慧灌溉","地下水超采 水资源管理","地下水超采水资源管理干旱农业智慧灌溉-2324","10.3389\u002Ffeart.2026.1914670",{"doi":217,"openalex_id":219,"authors":220,"venue":201,"cited_by_count":38,"oa_url":198,"card":239,"direction":53,"ingested_from":54},"W7212247745",[221,224,227,230,233,236],{"name":222,"orcid":223},"Rachid Amiha","https:\u002F\u002Forcid.org\u002F0000-0002-9863-6685",{"name":225,"orcid":226},"Belkacem Kabbachi","https:\u002F\u002Forcid.org\u002F0000-0003-3802-1256",{"name":228,"orcid":229},"Mohamed Ait Haddou","https:\u002F\u002Forcid.org\u002F0000-0002-0587-1230",{"name":231,"orcid":232},"Youssef Bouchriti","https:\u002F\u002Forcid.org\u002F0000-0002-8566-1451",{"name":234,"orcid":235},"Hicham Gougueni","https:\u002F\u002Forcid.org\u002F0000-0001-5340-7566",{"name":237,"orcid":238},"Mustapha Ikirri","https:\u002F\u002Forcid.org\u002F0000-0002-9971-6249",{"tldr":240,"method":241,"finding":242,"direction":53,"opportunity":243},"提出半经验遥感框架，在摩洛哥缺水灌区推断地下水超采量。","Sentinel-2 NDVI与Landsat 8\u002F9 LST构建热-物候异常，","2022年抽水量5.85–6.79 Mm³，超补给量概率超80%，呈严重超采。","可迁移至其他数据稀缺干旱区，融合多源遥感与用水配额决策支持。","2026-09-13T23:30:23.143553Z",{"id":246,"title":247,"url":248,"summary":249,"summary_zh":9,"content":9,"source_name":250,"source_url":9,"published_at":251,"category":12,"cover_url":9,"hotness":20,"is_selected":14,"score":252,"score_detail":253,"sources":255,"tags":257,"search_phrases":262,"slug":265,"view_count":38,"doi":9,"paper":266,"created_at":275},3248,"Crop recommendation in precision agriculture: a systematic literature review of methods, trends, and challenges（精准农业中的作物推荐：方法、趋势与挑战系统综述）","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37471110","MDPI 发表精准农业作物推荐方法系统综述：从183项研究中严格筛选129篇发表于2020-2026年的文章，使用PRISMA协议进行综合分析。研究表明集成学习方法（特别是随机森林和XGBoost）在各种农业数据集的预测性能上具有强大能力；支持向量机、决策树、k近邻等传统ML方法仍被广泛使用；同时CNN和LSTM被用于遥感和时间相关农业分析。最常用的数据集来源是Kaggle，典型输入包括土壤养分（NPK）、土壤pH、天气条件和NDVI、EVI等卫星指数。研究主要研究空白：有限的实时部署、低多数据源集成、低跨区域验证、低模型可解释性。研究表明可扩展、可解释的AI系统对农业实际应用具有重要意义。","MDPI","2026-09-22T00:00:00Z",81,{"impact":69,"substance":205,"depth":69,"authority":122,"freshness":20,"relevant":22,"comment":254},"基于PRISMA的129篇文献系统综述，梳理作物推荐主流方法与四大研究空白，对农业AI落地有参考价值。",[256],{"name":250,"url":248},[258,259,260,261,32],"智慧农业","农业人工智能","机器学习","作物推荐",[263,264],"精准农业 作物推荐 系统综述","XGBoost 随机森林 作物推荐","精准农业作物推荐系统综述-3248",{"doi":9,"openalex_id":9,"authors":267,"venue":9,"cited_by_count":38,"oa_url":9,"card":268,"direction":272,"ingested_from":274},[],{"tldr":269,"method":270,"finding":271,"direction":272,"opportunity":273},"系统综述129篇2020-2026年文献，梳理精准农业作物推荐的方法、趋势与挑战。","PRISMA协议系统综述，分析183项研究筛选出的129篇文献。","集成学习（随机森林、XGBoost）表现最强，主要空白为实时部署、多源集成、跨区域验证与可解释性。","农业人工智能与决策模型","可探索可解释、可跨区域泛化的实时作物推荐系统，并融合多源遥感与物联网数据。","agent","2026-09-23T00:04:33.331160Z",{"id":277,"title":278,"url":279,"summary":280,"summary_zh":9,"content":281,"source_name":282,"source_url":9,"published_at":66,"category":283,"cover_url":9,"hotness":20,"is_selected":14,"score":284,"score_detail":285,"sources":288,"tags":290,"search_phrases":294,"slug":297,"view_count":38,"doi":9,"paper":9,"created_at":298},3230,"农业科普进校园 科技种子润心田——黑龙江省农科院\"农业科普进校园\"活动走进萧红中学","https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1079072228_121106822","黑龙江省农科院\"农业科普进校园\"活动走进哈尔滨市萧红中学，七位专家把实验室里的科研成果\"翻译\"成生动有趣的科普课堂，围绕食品安全、现代种业、智慧农业、遥感监测、生物防治、健康养殖、未来食品等方向，用图文展示、实物观察、视频演示和互动问答，把硬核科研变成通俗易懂的知识。作为省农科院2026年全国科普月重点活动之一，本次活动紧扣\"科技改变生活 创新赢得未来\"主题，聚焦现代农业科普和青少年科学素养提升，是落实全国科普月\"科普讲堂话前沿\"\"科学文化进基层\"部署、推动农业科普资源进校园的具体实践。","## 农业科普进校园 科技种子润心田 ——省农科院“农业科普进校园”活动走进萧红中学\n\n2026-09-21 17:29 来源: [大东北生活资讯](https:\u002F\u002Fwww.sohu.com\u002F)\n\n发布于：北京市\n\n当“农药去哪了”“玉米的秘密”“未来餐桌”这些话题出现在中学课堂，农业就不再是课本里遥远的名词，而是一场可以看、可以问、可以触摸的科技之旅。\n\n近日，省农科院“农业科普进校园”活动走进哈尔滨市萧红中学。七位专家把实验室里的科研成果“翻译”成生动有趣的科普课堂，带着同学们零距离感受现代农业的魅力。\n\n活动现场，专家们围绕食品安全、现代种业、智慧农业、遥感监测、生物防治、健康养殖、未来食品等方向，用图文展示、实物观察、视频演示和互动问答，把硬核科研变成通俗易懂的知识。同学们在观察、提问、交流中，慢慢理解了“藏粮于技”的意义，也感受到科技给农业带来的改变。\n\n作为省农科院2026年全国科普月重点活动之一，本次活动紧扣“科技改变生活 创新赢得未来”主题，聚焦现代农业科普和青少年科学素养提升，是落实全国科普月“科普讲堂话前沿”“科学文化进基层”部署、推动农业科普资源进校园的具体实践。以青少年为纽带，科研机构与社会公众之间多了一座沟通的桥；通过“请进来”与“走出去”，省农科院在粮食安全、乡村振兴等领域的创新成果被更多年轻人看见。知农、爱农、兴农的种子，正在校园里悄悄发芽。\n\n接下来，省农科院还将继续深化与学校的合作，让更多青少年在沉浸式体验中走近农业、爱上科学，为龙江农业现代化和乡村振兴积蓄青春力量。\n\n![Image 1](https:\u002F\u002Fq0.itc.cn\u002Fq_70\u002Fimages03\u002F20260921\u002Fccb551427fec4af1a347d1e5b521017a.jpeg)\n\n![Image 2](https:\u002F\u002Fq6.itc.cn\u002Fq_70\u002Fimages03\u002F20260921\u002F9f478e5a65a44654acd668ed043bff16.jpeg)\n\n**黑 龙 江 省 农 业 科 学 院 党 宣**\n\n信 息 来 源：科技推广处张唯一\n\n审核：李佳峰\n\n编辑：王红蕾[返回搜狐，查看更多](https:\u002F\u002Fwww.sohu.com\u002F?strategyid=00001 \"点击进入搜狐首页\")","黑龙江省农业科学院","报道",39,{"impact":21,"substance":21,"depth":57,"authority":20,"freshness":286,"relevant":22,"comment":287},7,"省级农科院面向中学的科普活动通稿，属全国科普月系列活动，有科普教育价值但信息增量有限，适合作为科普类资讯收录。",[289],{"name":282,"url":279},[258,291,32,292,293],"农业科普","全国科普月","青少年科学素养",[295,296],"黑龙江省农科院 农业科普进校园","萧红中学 农业科普","黑龙江省农科院农业科普进校园-3230","2026-09-23T00:04:30.535981Z"]