[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5399":3,"related-5399":103},{"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":39,"search_phrases":64,"slug":67,"view_count":68,"doi":69,"paper":70,"created_at":102},5399,"Spatial Heterogeneity and Nonlinear Environmental Associations of Positive Climatic Moisture Deficit with Implications for Sustainable Water Resource Assessment: A Case Study of Anyang","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010595","Positive climatic moisture deficit (CMD+) characterizes the seasonal imbalance between precipitation supply and atmospheric water demand, yet its spatial heterogeneity and associations with environmental and human-related factors remain insufficiently understood. Taking Anyang, China, as a case study, we calculated annual CMD+ for 2000–2020 using 1 km monthly precipitation and potential evapotranspiration data and applied an extreme gradient boosting (XGBoost)–SHapley Additive exPlanations (SHAP) framework to the corresponding long-term mean fields to examine climatological spatial heterogeneity. Five predictors were considered, including elevation, normalized difference vegetation index (NDVI), irrigation fraction, built-up fraction, and population density. Nested spatial-block cross-validation showed good model generalization. Long-term mean CMD+ was generally lower in the western mountainous area and higher across the central and eastern plains. The digital elevation model (DEM) accounted for 66.10% of the normalized mean absolute SHAP importance, followed by NDVI (13.47%) and irrigation fraction (9.72%). A DEM-excluded sensitivity model retained a spatial cross-validated R2 of 0.781, compared with 0.898 for the full model. SHAP dependence analysis revealed pronounced nonlinear responses, with primary local model response transition points at approximately 297.1 m for DEM, 0.812 for NDVI, and 23.1% for irrigation fraction. The strongest pairwise SHAP interaction occurred between NDVI and irrigation fraction, accounting for 21.87% of total pairwise interaction strength. These results show that the spatial heterogeneity of CMD+ in Anyang is closely associated with topographic background, while vegetation status and irrigated agriculture provide additional nonlinear and interactive explanatory information. The identified spatial patterns and model-response transitions provide spatial information for understanding regional climatic moisture deficits and for subsequent sustainable water resource assessment.","正向气候水分亏缺（CMD+）刻画了降水供给与大气水分需求之间的季节性失衡，但其空间异质性及其与环境因素和人为因素的关联仍缺乏充分认识。以中国安阳为案例区，本研究利用1 km月降水量与潜在蒸散量数据计算了2000—2020年的年CMD+，并将极端梯度提升（XGBoost）—SHapley加性解释（SHAP）框架应用于相应的长期均值场，以考察气候态空间异质性。研究考虑了5个预测因子，包括高程、归一化植被指数（NDVI）、灌溉面积比例、建成区比例和人口密度。嵌套空间分块交叉验证表明模型具有良好的泛化能力。长期平均CMD+总体表现为西部山区较低、中部和东部平原较高。数字高程模型（DEM）占归一化平均绝对SHAP重要性的66.10%，其次为NDVI（13.47%）和灌溉面积比例（9.72%）。剔除DEM的敏感性模型保持了0.781的空间交叉验证R²，而完整模型为0.898。SHAP依赖分析揭示了显著的非线性响应，主要局部模型响应转变点分别约为DEM 297.1 m、NDVI 0.812和灌溉面积比例23.1%。最强的成对SHAP交互作用出现在NDVI与灌溉面积比例之间，占总成对交互强度的21.87%。结果表明，安阳CMD+的空间异质性与地形背景密切相关，而植被状况和灌溉农业提供了额外的非线性和交互解释信息。所识别的空间格局和模型响应转变点为理解区域气候水分亏缺及后续可持续水资源评估提供了空间信息。",null,"Sustainability","2026-10-19T00:00:00Z","论文",10,false,64,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,16,13,9,1,"以安阳为案例，用遥感与XGBoost-SHAP揭示气候水分亏缺的空间异质性，方法有新意、结论可靠，但属区域案例研究，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业遥感","机器学习","灌溉管理","水资源评估","气候干旱",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":46},[45,54,59],{"code":33,"score":18,"supported":46,"title":47,"abstract":49,"tags":53},true,[48],"water resource",[50,51,34,48,52],"灌溉","水资源","evapotranspiration",[29],{"code":55,"score":22,"supported":14,"title":56,"abstract":57,"tags":58},"I2",[],[],[28],{"code":60,"score":22,"supported":14,"title":61,"abstract":62,"tags":63},"I3",[],[],[27],[65,66],"安阳 气候水分亏缺 遥感","XGBoost SHAP 水资源评估","安阳气候水分亏缺遥感-5399",0,"10.3390\u002Fsu182010595",{"doi":69,"openalex_id":71,"authors":72,"venue":10,"cited_by_count":68,"oa_url":6,"card":94,"direction":100,"ingested_from":101},"W7222973420",[73,75,78,81,84,86,88,90,92],{"name":74,"orcid":9},"Yan Li",{"name":76,"orcid":77},"Xiaohua Yang","https:\u002F\u002Forcid.org\u002F0000-0001-8387-5213",{"name":79,"orcid":80},"Dehui Bian","https:\u002F\u002Forcid.org\u002F0000-0001-6921-1875",{"name":82,"orcid":83},"Qi Wang","https:\u002F\u002Forcid.org\u002F0000-0002-3156-9246",{"name":85,"orcid":9},"Lequn Gu",{"name":87,"orcid":9},"Ailing Zhang",{"name":89,"orcid":9},"Wei Gao",{"name":91,"orcid":9},"Wenjie Qi",{"name":93,"orcid":9},"Yayun Ma",{"tldr":95,"method":96,"finding":97,"direction":98,"opportunity":99},"以安阳为例，用XGBoost-SHAP分析2000—2020年气候水分亏缺的空间异质性及其环境关联。","1 km月降水与潜在蒸散数据计算CMD+，结合XGBoost-SHAP与嵌套空间","CMD+西部山区低、中东部平原高；高程贡献66.1%，NDVI与灌溉比例呈显著非线性交互。","农业遥感与作物表型","可引入多源遥感与作物种植结构，探究CMD+非线性阈值对灌溉需水与水资源配置的传导机制。","数字乡村与农业信息化","openalex","2026-10-20T23:30:23.927575Z",{"total":104,"page":22,"page_size":104,"items":105},6,[106,194,305,374,439,531],{"id":107,"title":108,"url":109,"summary":110,"summary_zh":111,"content":9,"source_name":112,"source_url":109,"published_at":113,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":114,"score_detail":115,"sources":119,"tags":121,"primary_topic":125,"secondary_topics":126,"classification":137,"search_phrases":173,"slug":176,"view_count":177,"doi":178,"paper":179,"created_at":193},3804,"Evaluating Reference Evapotranspiration and Soil Moisture as Predictors for Machine Learning-Based Actual Evapotranspiration Estimation: Model Performance and Explainability","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fatmos17100941","Accurate estimation of actual evapotranspiration (ETa) is essential for sustainable water resources management and agricultural planning. This study investigated how the availability of reference evapotranspiration (ET0) and soil moisture (SM) affects ETa prediction performance and predictor importance using Random Forest (RF), Bagging Trees (BT), Least Squares Boosting (LSBoost), Generalized Additive Models (GAM), and Multiple Linear Regression (MLR). Global solar radiation (Rs), land surface temperature (LST), normalized difference vegetation index (NDVI), and SM were evaluated under two primary scenarios, with and without ET0. Models were developed using 80% of the data, with five-fold cross-validation conducted within the training subset, and final performance was evaluated on an independent 20% test subset. Model interpretability was assessed using SHAP, Permutation Feature Importance (PFI), Partial Dependence Plot (PDP), and temporal signed-SHAP analyses, while an additional SM-ablation experiment quantified the incremental predictive contribution of soil moisture. In Scenario I, ET0 was the dominant predictor, and RF and BT achieved the highest independent-test performance (R2 = 0.875; RMSE = 0.398–0.399 mm day−1). Excluding ET0 reduced predictive performance, with RF, LSBoost, and BT achieving R2 values of approximately 0.80 in Scenario II, while the predictor-importance structure shifted primarily toward Rs, followed by SM, LST, and NDVI. Removal of SM further reduced performance in both scenarios, with substantially greater deterioration when ET0 was unavailable: R2 decreased by 0.025–0.044 in Scenario I and by 0.051–0.099 in Scenario II. Under the SM-excluded Scenario I configuration, which more closely aligned the predictor information with previous ANN- and SAFER-based studies, R2 values ranged from 0.820 to 0.832, indicating that differences in ETa prediction performance cannot be attributed solely to model structure but also depend strongly on predictor information content. Overall, ET0 provides substantial atmospheric-demand information for ETa prediction, whereas Rs assumes the dominant predictive role, and SM provides particularly important complementary information when ET0 is unavailable. The combined performance, ablation, and explainability analyses demonstrate the importance of considering predictor composition together with model structure when developing and comparing ETa estimation approaches.","准确估算实际蒸散发（ETa）对于可持续水资源管理和农业规划至关重要。本研究探讨了参考蒸散发（ET0）和土壤水分（SM）的可用性如何影响ETa预测性能及预测因子重要性，采用了随机森林（RF）、Bagging Trees（BT）、最小二乘提升（LSBoost）、广义加性模型（GAM）和多元线性回归（MLR）方法。在全球太阳辐射（Rs）、地表温度（LST）、归一化差异植被指数（NDVI）和SM的条件下，评估了包含和不包含ET0两种主要情景。模型使用80%的数据进行开发，在训练子集内进行五折交叉验证，最终性能在独立的20%测试子集上评估。模型可解释性通过SHAP、排列特征重要性（PFI）、偏依赖图（PDP）和时间符号SHAP分析进行评估，同时通过额外的SM消融实验量化了土壤水分的增量预测贡献。在情景I中，ET0是主导预测因子，RF和BT取得了最高的独立测试性能（R2 = 0.875；RMSE = 0.398–0.399 mm day−1）。排除ET0降低了预测性能，在情景II中RF、LSBoost和BT的R2值约为0.80，同时预测因子重要性结构主要转向Rs，其次是SM、LST和NDVI。去除SM进一步降低了两种情景下的性能，且在ET0不可用时性能下降幅度更大：情景I中R2下降了0.025–0.044，情景II中下降了0.051–0.099。在排除SM的情景I配置下（该配置使预测因子信息更接近此前的ANN和SAFER研究），R2值范围为0.820至0.832，表明ETa预测性能的差异不能仅归因于模型结构，还强烈依赖于预测因子信息含量。总体而言，ET0为ETa预测提供了大量大气需求信息，而Rs承担了主导预测作用，SM在ET0不可用时提供了特别重要的补充信息。综合性能、消融和可解释性分析表明，在开发和比较ETa估算方法时，需将预测因子组成与模型结构一并考虑。","Atmosphere","2026-09-27T00:00:00Z",73,{"impact":116,"substance":117,"depth":18,"authority":20,"freshness":17,"relevant":22,"comment":118},12,22,"方法对比与可解释性分析扎实，对农业水资源管理和灌溉决策有参考价值，但属专业论文，公共影响有限。",[120],{"name":112,"url":109},[122,27,28,123,124],"智慧农业","土壤墒情","蒸散发估算",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[127,132],{"code":128,"slug":129,"name":130,"path":131,"parent_code":37},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":55,"slug":133,"name":134,"path":135,"parent_code":136},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":40,"locked":14,"version":41,"method":42,"evidence":138},{"candidates":139,"agricultural_evidence":46},[140,146,152,157,164,169],{"code":33,"score":141,"supported":46,"title":142,"abstract":143,"tags":145},17,[52],[51,144,52],"蒸散发",[],{"code":128,"score":147,"supported":46,"title":148,"abstract":149,"tags":151},15,[129],[150,129],"土壤",[123],{"code":55,"score":21,"supported":46,"title":153,"abstract":155,"tags":156},[154],"machine learning",[],[28],{"code":158,"score":159,"supported":46,"title":160,"abstract":161,"tags":163},"J1",3,[],[162],"农业规划",[],{"code":165,"score":22,"supported":14,"title":166,"abstract":167,"tags":168},"I1",[],[],[122],{"code":60,"score":22,"supported":14,"title":170,"abstract":171,"tags":172},[],[],[27],[174,175],"参考蒸散发 土壤水分 机器学习","ET0 实际蒸散发 随机森林","参考蒸散发土壤水分机器学习-3804",2,"10.3390\u002Fatmos17100941",{"doi":178,"openalex_id":180,"authors":181,"venue":112,"cited_by_count":68,"oa_url":109,"card":187,"direction":191,"ingested_from":101},"W7214588993",[182,185],{"name":183,"orcid":184},"Halil Karahan","https:\u002F\u002Forcid.org\u002F0000-0001-5346-5686",{"name":186,"orcid":9},"Devrim Alkaya",{"tldr":188,"method":189,"finding":190,"direction":191,"opportunity":192},"评估ET0与土壤湿度对机器学习估算实际蒸散的影响及可解释性。","用RF、BT、LSBoost、GAM、MLR结合SHAP、PFI、PDP及SM消","ET0主导预测，缺失时Rs主导且SM补充价值显著增大。","农业人工智能与决策模型","可探索缺ET0条件下融合遥感与土壤湿度的可解释ETa估算框架。","2026-09-29T23:30:57.729880Z",{"id":195,"title":196,"url":197,"summary":198,"summary_zh":199,"content":9,"source_name":200,"source_url":197,"published_at":201,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":202,"score_detail":203,"sources":206,"tags":208,"primary_topic":212,"secondary_topics":213,"classification":214,"search_phrases":278,"slug":281,"view_count":68,"doi":282,"paper":283,"created_at":304},4987,"Smart Agriculture Research in Date Palm (Phoenix dactylifera L.) Production: A Comprehensive Bibliometric Study","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fplants15203137","The date palm (Phoenix dactylifera L.) is fundamental to food security, livelihoods, and agro-ecosystem sustainability across the Arabian Peninsula, yet its production is increasingly constrained by water scarcity, salinity, climate change, and biotic stresses. Smart agriculture technologies offer opportunities to improve crop monitoring, resource-use efficiency, and decision-making; however, their application in date palm production remains fragmented and insufficiently validated. This study evaluates the development, geographic distribution, technological focus, research approaches, and thematic structure of smart agriculture research on date palms in the Arabian Peninsula and other major date-producing countries. A bibliometric analysis was conducted using peer-reviewed English-language articles and reviews indexed in Scopus and Web of Science from 2016 to 2026, with 2026 representing a partial year. Following screening and duplicate removal, 164 published studies were retained. Publication output increased gradually, although the trend was not statistically significant (β = 1.25 articles year−1, p = 0.068; Mann–Kendall τ = 0.489, p = 0.060). The literature was concentrated in the Gulf Cooperation Council (GCC) region, with Saudi Arabia contributing 54 publications (32.9%). General agronomy\u002Fother topics accounted for 46.3% of publications, while remote sensing\u002FUAVs (17.1%), GIS\u002Fgeospatial technologies (14.0%), IoT\u002Fsensors (13.4%), and AI\u002Fmachine learning (9.8%) represented the leading specific technology categories. Water and irrigation management dominated thematic applications (46.3%), whereas Smart Farming\u002FIoT accounted for only 11.0%. Observational and monitoring studies comprised 50.0% of publications, compared with only 6.1% involving field experiments, indicating limited field-scale validation. Internationally co-authored studies received significantly more citations than domestically authored studies (16.55 vs. 8.68; p = 0.0007). Thematic analysis identified four major clusters: geospatial monitoring, water management, pest control, and sustainability, with AI\u002Fmachine learning showing marked growth after 2022. Altogether, the field is expanding but remains fragmented, highlighting the need for integrated IoT and sensor networks, rigorous field trials, AI-driven decision-support systems, and stronger regional and international collaboration to enable scalable, context-specific smart agriculture for date palm production.","海枣（Phoenix dactylifera L.）对阿拉伯半岛的粮食安全、生计和农业生态系统可持续性至关重要，然而其生产日益受到水资源短缺、盐碱化、气候变化和生物胁迫的制约。智慧农业技术为改善作物监测、资源利用效率和决策提供了机遇；然而，其在海枣生产中的应用仍然零散且缺乏充分验证。本研究评估了阿拉伯半岛及其他主要海枣生产国海枣智慧农业研究的发展、地理分布、技术重点、研究方法和主题结构。采用文献计量学分析方法，基于Scopus和Web of Science数据库中2016年至2026年索引的同行评审英文论文和综述，其中2026年为部分年份。经过筛选和去重后，共保留164篇已发表研究。发文量逐渐增长，但该趋势未达到统计学显著性（β = 1.25篇\u002F年，p = 0.068；Mann–Kendall τ = 0.489，p = 0.060）。文献集中于海湾合作委员会（GCC）地区，其中沙特阿拉伯贡献了54篇论文（32.9%）。一般农学\u002F其他主题占论文总数的46.3%，而遥感\u002F无人机（17.1%）、GIS\u002F地理空间技术（14.0%）、物联网\u002F传感器（13.4%）和人工智能\u002F机器学习（9.8%）为主要的具体技术类别。水资源与灌溉管理在主题应用中占主导地位（46.3%），而智慧农业\u002F物联网仅占11.0%。观测与监测类研究占论文总数的50.0%，而涉及田间试验的仅占6.1%，表明田间尺度的验证有限。国际合著论文的引用次数显著高于国内独著论文（16.55 vs. 8.68；p = 0.0007）。主题分析识别出四大聚类：地理空间监测、水资源管理、病虫害防治和可持续性，其中人工智能\u002F机器学习在2022年后呈现显著增长。总体而言，该领域正在扩展但仍显零散，凸显了整合物联网与传感器网络、严格的田间试验、人工智能驱动的决策支持系统以及加强区域和国际合作的必要性，以推动可规模化、因地制宜的海枣生产智慧农业。","Plants","2026-10-14T00:00:00Z",80,{"impact":18,"substance":117,"depth":18,"authority":204,"freshness":17,"relevant":22,"comment":205},14,"基于Scopus与WoS的164篇文献计量分析，揭示枣椰树智慧农业研究碎片化、田间验证不足，对干旱区智慧农业布局有参考价值。",[207],{"name":200,"url":197},[122,209,27,210,211],"农业人工智能","农业物联网","枣椰树",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":215},{"candidates":216,"agricultural_evidence":46},[217,225,230,234,239,245,252,259,266,272],{"code":218,"score":141,"supported":46,"title":219,"abstract":221,"tags":224},"I7",[220],"bibliometric",[222,223,220],"文献计量","研究方法",[],{"code":165,"score":147,"supported":46,"title":226,"abstract":228,"tags":229},[227],"smart agriculture",[122,227],[122],{"code":33,"score":21,"supported":46,"title":231,"abstract":232,"tags":233},[],[50,51,34],[],{"code":55,"score":235,"supported":46,"title":236,"abstract":237,"tags":238},7,[],[28,154],[209],{"code":60,"score":235,"supported":46,"title":240,"abstract":241,"tags":244},[],[242,243],"遥感","remote sensing",[27],{"code":246,"score":235,"supported":46,"title":247,"abstract":248,"tags":251},"I5",[],[249,250],"物联网","IoT",[210],{"code":253,"score":104,"supported":46,"title":254,"abstract":255,"tags":258},"A8",[],[256,257],"粮食安全","food security",[],{"code":260,"score":104,"supported":46,"title":261,"abstract":262,"tags":265},"H7",[],[263,264],"气候变化","climate change",[],{"code":267,"score":159,"supported":46,"title":268,"abstract":269,"tags":271},"H6",[],[270],"农业生态",[],{"code":273,"score":159,"supported":46,"title":274,"abstract":275,"tags":277},"I4",[],[276],"GIS",[],[279,280],"枣椰树 智慧农业 文献计量","农业人工智能 农业物联网 农业遥感 智慧农业","枣椰树智慧农业文献计量-4987","10.3390\u002Fplants15203137",{"doi":282,"openalex_id":284,"authors":285,"venue":200,"cited_by_count":68,"oa_url":197,"card":298,"direction":302,"ingested_from":101},"W7221786893",[286,289,292,295],{"name":287,"orcid":288},"Sajid Safeer","https:\u002F\u002Forcid.org\u002F0000-0002-0120-5900",{"name":290,"orcid":291},"Adnan Nadeem","https:\u002F\u002Forcid.org\u002F0000-0001-9622-150X",{"name":293,"orcid":294},"Sajid Maqsood","https:\u002F\u002Forcid.org\u002F0000-0003-2099-8392",{"name":296,"orcid":297},"Cataldo Pulvento","https:\u002F\u002Forcid.org\u002F0000-0002-2650-1204",{"tldr":299,"method":300,"finding":301,"direction":302,"opportunity":303},"用文献计量分析2016-2026年枣椰树智慧农业研究，发现领域增长但碎片化、田间验证不足。","Scopus与Web of Science文献计量分析，164篇论文，含趋势检验","研究集中于海湾地区，遥感与灌溉为主，田间试验仅6.1%，国际合作论文引用更高。","智慧农业 \u002F 农业物联网","枣椰树智慧农业缺乏IoT传感器集成与田间验证，AI决策支持系统是待填补的研究空白。","2026-10-15T23:30:08.558630Z",{"id":306,"title":307,"url":308,"summary":309,"summary_zh":310,"content":9,"source_name":311,"source_url":308,"published_at":312,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":114,"score_detail":313,"sources":315,"tags":317,"primary_topic":322,"secondary_topics":323,"classification":325,"search_phrases":351,"slug":354,"view_count":22,"doi":355,"paper":356,"created_at":373},4527,"Socio‐Economic Impact of Sustainable Development of Water Resources in the Semi‐Arid Regions of Village Raleras, Maharashtra: A Case Study Using Machine Learning Techniques","https:\u002F\u002Fdoi.org\u002F10.1111\u002F1477-8947.70100","ABSTRACT From a socio‐economic perspective, it is of interest to find out whether sustainable water resources can truly sustain rural livelihoods. Based on historical research, it is known that an improvement on resilient economic indicators such as ground water is often correlated with socio‐economic improvements and other aspects of rural livelihoods. The extent of factors affecting livelihood sustenance and improvement in the village of Raleras, Maharashtra, aids in creating a definite understanding of the facets correlating with groundwater restoration. Subsistence channels, arising as an outcome of the created impoundment structures, are tested for their impact on income gains and livelihood improvement. Examination on collected opinion was carried out to provide insights into the ‘before’ and ‘after’ (2015–2023) conditions. A five‐capitals framework has been employed for the interpretation of these results, along with a multivariate analysis to predict a causal framework for the improvement of livelihoods in agrarian economies through creation of check dams and watershed management. Time series study shows that there is greater variance in the NDVI progressively from 2021 to 2023 with values ranging from 0.25 to 0.50 in 2015, to 0.50–0.75 by 2021. Further increase in green patches in 2023 indicates enhanced vegetation health especially in the northern regions. Alternately, NDWI values elaborate initial severe water stress (−0.25 to 0.00) with progressive improvements in localized areas. The spatial variation map shows that eventually there is a notable improvement with more land supporting shrubbery along with more water bodies. The prominent increase in vegetation particularly in the later years can be attributed to water management initiatives undertaken in Raleras. The distributions of the annual average revenue from agricultural operations in 2015 (M = 146,907, SD = 95445.8) and 2023 (M = 706860.5, SD = 655748.3) showed a statistically significant improvement [ t (214) = 13.06, p \u003C 0.001]. The low p ‐value of 0.001205 ( p \u003C 0.05) of the educational facilities utilised indicates a statistically significant result, proving the association between educational quality and improved water facilities. All of the variables under evaluation, including the respondents' vehicle type, landholding type, and house type, have large and positive chi‐squared values, suggesting that the ‘before’ and ‘after’ distributions for each of these variables differ. Principal Component Analysis is used to summarise correlated livelihood indicators and reveals that income growth and livelihood improvement is multi‐dimensional. Multiple pathways to income change are identified through Partial Least Squares Regression, including agriculture and market‐linked channels. A Random Forest Regression Model is utilised to assess the relative importance of livelihood channels and baseline characteristics. Results indicate that improvement in irrigation access, crop diversification, housing quality, livestock ownership and female literacy are strongly associated with higher income gains. Hence, it may be said that the groundwater recharge as a result of construction of check dams must have improved agricultural activity or agricultural output in a material manner, and accordingly all capitals for Raleras have improved.","从社会经济视角来看，探究可持续水资源能否真正维持农村生计具有重要意义。基于历史研究可知，地下水等韧性经济指标的改善往往与社会经济进步及农村生计的其他方面相关联。马哈拉施特拉邦拉莱拉斯村影响生计维持与改善的因素程度，有助于明确理解与地下水恢复相关的各个维度。作为所建蓄水设施产物的生计渠道，其对面收入增长和生计改善的影响得到了检验。对收集到的意见进行了考察，以深入了解“之前”和“之后”（2015—2023年）的状况。研究采用了五资本框架来解读这些结果，并结合多变量分析，预测通过修建拦水坝和流域管理来改善农业经济生计的因果框架。时间序列研究表明，从2021年到2023年，NDVI的变异性逐渐增大，2015年数值范围为0.25至0.50，到2021年升至0.50至0.75。2023年绿色斑块进一步增加，表明植被健康状况改善，尤其是在北部地区。另一方面，NDWI值显示初期存在严重的水分胁迫（−0.25至0.00），后在局部地区逐步改善。空间变异图显示，最终出现了显著改善，更多土地能够支持灌木生长，同时水体也有所增加。植被的显著增加，尤其是在后期，可归因于拉莱拉斯村所实施的水资源管理举措。2015年（M = 146,907，SD = 95445.8）和2023年（M = 706860.5，SD = 655748.3）农业经营年均收入的分布显示出统计学上显著的改善[t(214) = 13.06，p \u003C 0.001]。所利用教育设施的p值为0.001205（p \u003C 0.05），表明结果具有统计学显著性，证明了教育质量与改善的供水设施之间的关联。所有受评估变量，包括受访者的车辆类型、土地持有类型和房屋类型，均具有较大且正向的卡方值，表明这些变量各自的“之前”和“之后”分布存在差异。","Natural Resources Forum","2026-10-07T00:00:00Z",{"impact":116,"substance":117,"depth":18,"authority":20,"freshness":17,"relevant":22,"comment":314},"以机器学习与遥感数据量化印度半干旱村庄水资源可持续性对生计的影响，方法扎实、结论具体，但属境外案例研究，对国内三农信息化仅有方法借鉴价值。",[316],{"name":311,"url":308},[318,28,319,320,321],"乡村振兴","水资源管理","遥感监测","灌溉农业",{"code":55,"slug":133,"name":134,"path":135,"parent_code":136},[324],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":326},{"candidates":327,"agricultural_evidence":46},[328,332,336,342,347],{"code":55,"score":21,"supported":46,"title":329,"abstract":330,"tags":331},[154],[],[28],{"code":33,"score":17,"supported":46,"title":333,"abstract":334,"tags":335},[],[51,34],[319,321],{"code":337,"score":159,"supported":46,"title":338,"abstract":339,"tags":341},"C",[],[340],"livestock",[],{"code":343,"score":22,"supported":14,"title":344,"abstract":345,"tags":346},"G",[],[],[318],{"code":60,"score":22,"supported":14,"title":348,"abstract":349,"tags":350},[],[],[320],[352,353],"Raleras 马哈拉施特拉 水资源","check dam 地下水 生计","Raleras马哈拉施特拉水资源-4527","10.1111\u002F1477-8947.70100",{"doi":355,"openalex_id":357,"authors":358,"venue":311,"cited_by_count":68,"oa_url":9,"card":368,"direction":191,"ingested_from":101},"W7220922038",[359,362,364,366],{"name":360,"orcid":361},"Papiya Deb","https:\u002F\u002Forcid.org\u002F0000-0002-6554-5111",{"name":363,"orcid":9},"Roopsha Deb",{"name":365,"orcid":9},"Udaysinh Bhosale",{"name":367,"orcid":9},"Vemula Sai Vikas",{"tldr":369,"method":370,"finding":371,"direction":100,"opportunity":372},"用机器学习评估印度半干旱村庄水资源可持续开发对农村生计的社会经济影响。","NDVI\u002FNDWI遥感、五资本框架、多元分析与卡方检验，2015–2023数据。","水管理举措显著提升植被覆盖与农业收入，教育设施改善与水资源改善显著相关。","可结合遥感时序与农户调查，量化水利工程对生计的因果效应并推广至其他半干旱区。","2026-10-09T23:30:50.079298Z",{"id":375,"title":376,"url":377,"summary":378,"summary_zh":379,"content":9,"source_name":380,"source_url":377,"published_at":312,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":381,"score_detail":382,"sources":384,"tags":386,"primary_topic":391,"secondary_topics":392,"classification":397,"search_phrases":422,"slug":425,"view_count":22,"doi":426,"paper":427,"created_at":438},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。","Zenodo (CERN European Organization for Nuclear Research)",70,{"impact":19,"substance":18,"depth":147,"authority":116,"freshness":21,"relevant":22,"comment":383},"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。",[385],{"name":380,"url":377},[387,27,388,389,390],"数字农业","智慧灌溉","节水农业","乌兹别克斯坦",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[393],{"code":260,"slug":394,"name":395,"path":396,"parent_code":37},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"status":40,"locked":14,"version":41,"method":42,"evidence":398},{"candidates":399,"agricultural_evidence":46},[400,405,410,414,418],{"code":33,"score":401,"supported":46,"title":402,"abstract":403,"tags":404},11,[],[50,51,34],[388,389],{"code":260,"score":21,"supported":46,"title":406,"abstract":407,"tags":409},[],[263,408,264],"气候适应",[],{"code":60,"score":235,"supported":46,"title":411,"abstract":412,"tags":413},[],[242,243],[27],{"code":128,"score":104,"supported":46,"title":415,"abstract":416,"tags":417},[],[150,129],[],{"code":165,"score":22,"supported":14,"title":419,"abstract":420,"tags":421},[],[],[387],[423,424],"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":426,"openalex_id":428,"authors":429,"venue":380,"cited_by_count":68,"oa_url":377,"card":432,"direction":98,"ingested_from":101},"W7220939870",[430],{"name":431,"orcid":9},"Yusupov Yusufbek",{"tldr":433,"method":434,"finding":435,"direction":436,"opportunity":437},"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":440,"title":441,"url":442,"summary":443,"summary_zh":444,"content":9,"source_name":445,"source_url":442,"published_at":446,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":447,"score_detail":448,"sources":451,"tags":453,"primary_topic":456,"secondary_topics":461,"classification":463,"search_phrases":507,"slug":510,"view_count":68,"doi":511,"paper":512,"created_at":530},4242,"Integrated Irrigation and Disease Management Strategies for Sustainable Wheat Production and Improved Plant Health and Grain Yield","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.774","Wheat production was expected to provide reliable grain quality and farmer income while using less water and facing climatic variability, soil degradation, disease development, and rising energy costs. This literature-based paper critically synthesized verified research on irrigation, plant disease management, irrigation–disease interactions, sustainability, digital agriculture, and the Pakistan\u002Fdeveloping-economy context. It considered irrigation and plant health as related management areas rather than completely separate input decisions. The available evidence did not identify a universal irrigation technology or deficit percentage. Instead, it supported a context-specific approach that considered stored soil water and rainfall, protected important growth stages, managed canopy humidity and nitrogen, used resistant cultivars and clean seed, and applied surveillance, forecasting, and fungicides when justified. Global and China-focused studies reported that moderate deficit or optimized water-saving irrigation could improve water productivity, whereas severe water deficit commonly reduced yield. Jointing\u002Fstem elongation was repeatedly identified as an important stage for avoiding water stress, while anthesis and early grain filling were also important when water availability and disease risk required attention. Disease-management evidence emphasized genetic resistance, sanitation, crop rotation, scouting, and forecasting before chemical control. Fusarium head blight required particular attention to weather conditions around anthesis, residue inoculum, cultivar resistance, fungicide timing, and deoxynivalenol risk. Irrigation increased yield without increasing disease in some environments, although dense nitrogen-rich canopies, overhead wetting, and saturated soils could favor foliar diseases and waterlogging. Digital tools were considered decision-support infrastructure that linked observations, analysis, and management actions. Wheat-specific evidence was relatively stronger for soil-moisture scheduling and weather-based stripe-rust forecasting, whereas many claims involving artificial intelligence, UAVs, and variable-rate irrigation remained predictive or transferable rather than directly supported by causal field evidence. Evidence from Pakistan indicated dependence on groundwater, salinity and waterlogging problems, uneven disease surveillance, and barriers to technology adoption. Differences among official statistics also indicated the need for careful reconciliation rather than simple averaging. The paper proposed an integrated framework involving diagnosis, planning, stage-aware irrigation, plant-health protection, evaluation, and seasonal feedback. It also identified the need for multi-location and multi-season studies that evaluated water use, disease, grain quality, energy use, greenhouse-gas emissions, profitability, and equity together.","小麦生产被期望在提供可靠籽粒品质和农民收入的同时，减少用水并应对气候变异、土壤退化、病害发展和能源成本上升。这篇基于文献的论文批判性地综合了关于灌溉、植物病害管理、灌溉–病害相互作用、可持续性、数字农业以及巴基斯坦\u002F发展中经济体背景的已验证研究。它将灌溉和植物健康视为相关的管理领域，而非完全独立的投入决策。现有证据并未确定一种通用的灌溉技术或亏缺百分比。相反，它支持一种因地制宜的方法，即考虑土壤储水和降雨、保护重要生育阶段、管理冠层湿度和氮素、使用抗性品种和清洁种子，并在有依据时应用监测、预报和杀菌剂。全球和中国的研究报告称，适度亏缺或优化节水灌溉可提高水分生产力，而严重水分亏缺通常降低产量。拔节\u002F茎伸长阶段被反复确定为避免水分胁迫的重要阶段，而在水分可用性和病害风险需要关注时，开花期和灌浆早期也很重要。病害管理证据强调在化学防治之前采用遗传抗性、卫生措施、轮作、田间巡查和预报。赤霉病需要特别关注开花期前后的天气条件、残体接种体、品种抗性、杀菌剂施用时机和脱氧雪腐镰刀菌烯醇风险。在某些环境中，灌溉提高了产量而未增加病害，尽管密集的富氮冠层、 overhead wetting 和饱和土壤可能有利于叶部病害和渍害。数字工具被视为连接观测、分析和管理行动的决策支持基础设施。小麦-specific 证据在土壤水分调度和基于天气的条锈病预报方面相对更强，而许多涉及人工智能、无人机和变量灌溉的说法仍属于预测性或可迁移性，而非直接得到因果田间证据的支持。来自巴基斯坦的证据表明对地下水的依赖、盐渍化和渍害问题、病害监测不均衡以及技术采用的障碍。官方统计数据之间的差异也表明需要谨慎。","Kashmir Journal of Academic Research and Development","2026-10-04T00:00:00Z",66,{"impact":116,"substance":449,"depth":141,"authority":17,"freshness":21,"relevant":22,"comment":450},20,"综述性论文，系统整合灌溉与病害协同管理及数字农业证据，对小麦节水抗病生产有参考价值，但非原创数据、层级偏学术。",[452],{"name":445,"url":442},[387,122,454,455,29],"小麦","病害防控",{"code":457,"slug":458,"name":454,"path":459,"parent_code":460},"A2","wheat","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[462],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":464},{"candidates":465,"agricultural_evidence":46},[466,470,474,479,486,490,496,502],{"code":457,"score":147,"supported":46,"title":467,"abstract":468,"tags":469},[458],[454,458],[454],{"code":33,"score":147,"supported":46,"title":471,"abstract":472,"tags":473},[34],[50,34],[29],{"code":165,"score":17,"supported":46,"title":475,"abstract":476,"tags":478},[],[387,477],"digital agriculture",[387,122],{"code":480,"score":104,"supported":46,"title":481,"abstract":482,"tags":485},"A7",[],[483,484],"轮作","crop rotation",[],{"code":128,"score":104,"supported":46,"title":487,"abstract":488,"tags":489},[],[150,129],[],{"code":260,"score":104,"supported":46,"title":491,"abstract":492,"tags":495},[],[493,494],"渍害","waterlogging",[],{"code":497,"score":159,"supported":46,"title":498,"abstract":499,"tags":501},"B7",[],[500],"greenhouse",[],{"code":55,"score":159,"supported":46,"title":503,"abstract":504,"tags":506},[],[505],"artificial intelligence",[],[508,509],"小麦 灌溉 病害 综合管理","小麦 节水灌溉 赤霉病","小麦灌溉病害综合管理-4242","10.71317\u002Fkjard.2.10.2026.774",{"doi":511,"openalex_id":513,"authors":514,"venue":445,"cited_by_count":68,"oa_url":442,"card":525,"direction":100,"ingested_from":101},"W7219840451",[515,517,519,521,523],{"name":516,"orcid":9},"Amir Khan Jamali",{"name":518,"orcid":9},"Zahir Muhammad Larik",{"name":520,"orcid":9},"Videsh Kumar",{"name":522,"orcid":9},"Um E Habiba",{"name":524,"orcid":9},"Amanullah Maree",{"tldr":526,"method":527,"finding":528,"direction":302,"opportunity":529},"综述小麦灌溉与病害管理整合策略，强调因地制宜而非通用方案。","文献综述，综合灌溉、病害、数字农业及巴基斯坦等发展经济体证据。","适度亏缺灌溉可提高水分生产力，但严重亏缺减产；病害管理需结合抗性、预测与适时用药。","AI、无人机和变量灌溉在小麦中的因果田间证据不足，可开展整合灌溉-病害的验证研究。","2026-10-05T23:30:30.962770Z",{"id":532,"title":533,"url":534,"summary":535,"summary_zh":536,"content":9,"source_name":537,"source_url":534,"published_at":538,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":539,"score_detail":540,"sources":542,"tags":544,"primary_topic":547,"secondary_topics":548,"classification":554,"search_phrases":576,"slug":579,"view_count":159,"doi":580,"paper":581,"created_at":604},3790,"Evaluation of the accuracy and response to recorded irrigation events of remote sensing and reanalysis soil moisture products in a typical irrigation district","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agwat.2026.110822","Soil moisture (SM) plays a critical role in the land–atmosphere water cycle and agricultural water resource management. However, the applicability of prevalent SM products in typical irrigation districts remains insufficiently assessed. In this study, two in situ SM observation networks—an automatic meteorological station network (AMS) and an agro-meteorological experimental station network (AES)—were used to comprehensively evaluate the accuracy and irrigation-associated response characteristics of seven microwave and reanalysis SM products in the North China Plain. The results indicated that: (1) AES-based evaluations generally showed a higher overall correlation (R = 0.58) and smaller errors with the SM products than AMS-based evaluations (R = 0.54). However, when restricted to common observation dates, the correlation coefficients decreased while the biases were close to zero in the AES-based evaluation. (2) Significant differences were observed among the evaluated products under different monitoring objectives. The ERA5-Land reanalysis product performed best for continuous SM monitoring, while the European Space Agency Climate Change Initiative (ESA CCI) Passive product achieved the highest correlation coefficient with in situ observations (R = 0.69) and the lowest unbiased root mean square error (ubRMSE = 0.043 m 3 m −3 ) on recorded irrigation days and exhibited a comparatively pronounced positive SM response under precipitation-controlled conditions, indicating greater sensitivity to short-term irrigation-associated wetting. (3) Strict precipitation control substantially affected the interpretation of irrigation-associated responses. ERA5-Land and GLDAS-Noah showed little systematic positive change when precipitation was controlled using both station observations and model precipitation forcing, while threshold-based probability of detection (POD) varied substantially with the selected SM response threshold. These findings demonstrate that product suitability depends on the monitoring objective and that precipitation attribution and threshold sensitivity should be explicitly considered when using SM products for irrigation-related applications.","土壤水分（SM）在陆气水循环和农业水资源管理中起着至关重要的作用。然而，主流SM产品在典型灌区的适用性仍缺乏充分评估。本研究利用两套原位SM观测网络——自动气象站网络（AMS）和农业气象实验站网络（AES），综合评估了七种微波和再分析SM产品在华北平原的精度及与灌溉相关的响应特征。结果表明：（1）基于AES的评估总体上显示出比基于AMS的评估更高的整体相关性（R = 0.58）和更小的误差（R = 0.54）。然而，当限定于共同观测日期时，基于AES的评估中相关系数下降，而偏差接近于零。（2）在不同监测目标下，所评估产品之间存在显著差异。ERA5-Land再分析产品在连续SM监测中表现最佳，而欧洲空间局气候变化倡议（ESA CCI）被动产品在记录灌溉日与原位观测的相关系数最高（R = 0.69），无偏均方根误差最低（ubRMSE = 0.043 m³ m⁻³），并在降水控制条件下表现出相对明显的SM正响应，表明其对短期灌溉相关增湿具有更高的敏感性。（3）严格的降水控制显著影响了对灌溉相关响应的解释。当利用站点观测和模型降水强迫控制降水时，ERA5-Land和GLDAS-Noah几乎未表现出系统性正变化，而基于阈值的检测概率（POD）随所选SM响应阈值的变化而显著变化。这些发现表明，产品适用性取决于监测目标，且在将SM产品用于灌溉相关应用时，应明确考虑降水归因和阈值敏感性。","Agricultural Water Management","2026-09-28T00:00:00Z",74,{"impact":116,"substance":117,"depth":18,"authority":204,"freshness":17,"relevant":22,"comment":541},"基于华北平原实测网络的七种土壤水分产品评估，为灌溉监测产品选型提供实证依据，专业价值较高但属细分领域研究。",[543],{"name":537,"url":534},[545,242,123,29,546],"农业水资源","华北平原",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[549,550],{"code":128,"slug":129,"name":130,"path":131,"parent_code":37},{"code":60,"slug":551,"name":552,"path":553,"parent_code":136},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"status":40,"locked":14,"version":41,"method":42,"evidence":555},{"candidates":556,"agricultural_evidence":46},[557,562,566,571],{"code":33,"score":558,"supported":46,"title":559,"abstract":560,"tags":561},19,[34],[50,51,34,48],[545,29],{"code":128,"score":147,"supported":46,"title":563,"abstract":564,"tags":565},[129],[150,129],[123],{"code":60,"score":116,"supported":46,"title":567,"abstract":568,"tags":570},[243],[569],"估产",[242],{"code":260,"score":21,"supported":46,"title":572,"abstract":573,"tags":575},[],[263,574,264],"农业气象",[],[577,578],"ESA CCI 土壤水分 灌溉","华北平原 土壤水分 遥感","ESACCI土壤水分灌溉-3790","10.1016\u002Fj.agwat.2026.110822",{"doi":580,"openalex_id":582,"authors":583,"venue":537,"cited_by_count":68,"oa_url":598,"card":599,"direction":98,"ingested_from":101},"W7214549221",[584,587,589,591,593,595],{"name":585,"orcid":586},"Rui Zhu","https:\u002F\u002Forcid.org\u002F0000-0002-6114-6412",{"name":588,"orcid":9},"Yu Li",{"name":590,"orcid":9},"Jiawei Lv",{"name":592,"orcid":9},"Lei Wang",{"name":594,"orcid":9},"Zhiqing Cheng",{"name":596,"orcid":597},"Dong Wu","https:\u002F\u002Forcid.org\u002F0000-0002-3202-255X","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0378377426007043\u002Fpdf",{"tldr":600,"method":601,"finding":602,"direction":98,"opportunity":603},"评估七种遥感与再分析土壤湿度产品在典型灌区的精度及对灌溉事件的响应。","用自动气象站与农业气象站两套实测网络，对比七种微波\u002F再分析产品。","ESA CCI Passive对灌溉日响应最灵敏，ERA5-Land适合连续监测，降水控制影响响应判","可针对灌溉事件构建降水控制下的阈值自适应土壤湿度响应检测方法，提升灌区遥感监测可靠性。","2026-09-29T23:30:28.424080Z"]