RGB UAV Imagery for Crop Monitoring and Decision Support in Precision Agriculture
用无人机RGB影像提取植被指数监测小麦和油菜长势并生成精准干预区。
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Structural Reorganization of Water Use Efficiency Drivers in the Hanjiang River Basin Under the South-to-North Water Diversion: Spatiotemporal Deep Learning and Pixel-Level Attribution
用ConvGRU与积分梯度量化南水北调后汉江流域WUE驱动因子的像素级重组。
Trends in soil organic carbon prediction research using geospatial technologies and artificial intelligence: an exploratory bibliometric analysis (2005-2025)
用文献计量分析2005-2025年地理空间技术与AI预测土壤有机碳的研究趋势。
Digital Twins in Irrigation Optimization: Advantages, Opportunities, and Challenges
综述数字孪生在灌溉优化中的应用、机遇与挑战。
Certified Temporal Fusion of Artificial Intelligence Climate Analytics for Crop Failure Early Warning Under Sparse Agricultural Sensors: Error Bounds and Famine Relief Targeting
提出带误差界的时间融合框架，在稀疏传感器下用气候分析预警作物歉收。
A Composite Field-Evaluation Framework for Digital Agriculture Maps
A Composite Field-Evaluation Framework for Digital Agriculture Maps。Research Square
Potential erosion risk assessment of Kanak stream basin (Sivas, Sarkisla) with the ICONA model
用ICONA模型评估土耳其Kanak流域潜在侵蚀风险并列出防治措施。
Temporal Multi-Scale Spatio-Temporal Network (TMST): Polarization–Temporal Feature Selection and Multi-Scale Spatiotemporal Fusion for Crop Mapping
提出TMST网络，融合SAR与多光谱时序数据实现作物制图。
Evaluation of Counterfactual Explanation Robustness for Computer Vision Agriculture Yield-Forecast Models Under Satellite Cloud-Mask Gaps: An Interpretability Reliability Bound for Cooperative Storage Decisions
推导卫星云掩膜缺口下反事实解释可靠性的理论界，并评估其对合作社储粮决策的影响。
Capturing Spatial Heterogeneity Using UAV-Derived Multispectral Phenotypes and Random Regression Models Improves Genetic Evaluation in Alfalfa Breeding Trials
用无人机多光谱时序表型和随机回归模型校正田间空间异质性，提升苜蓿育种遗传评估精度。
Dynamic thermal imaging for crop water stress detection across phenological stages: Enhancing irrigation scheduling precision
综述物候期对热成像CWSI阈值的影响，提出物候感知灌溉调度框架。
INTEGRATING IoT, REMOTE SENSING, AND ARTIFICIAL INTELLIGENCE FOR SMART IRRIGATION: A REVIEW OF ARCHITECTURES, METHODS, AND CHALLENGES
综述物联网、遥感与人工智能融合的智能灌溉系统架构、方法与挑战。
Artificial Neural Network-Based Prediction and Mapping of Elephant Corridors in West Bengal Using Geospatial and Environmental Variables
用人工神经网络结合遥感与GIS变量预测并制图西孟加拉邦大象迁徙廊道。
RS-GIS Based Dss (Decision Support System) for Land evaluation and Land resource management – (case study Amol District)
构建基于RS-GIS的空间决策支持系统，评估伊朗Amol地区水稻种植适宜性。
Strengthening Flood Resilience in Data-Sparse Agricultural Regions: A Planning Approach for Coastal Guyana
提出低信息框架，为数据稀缺农业区规划洪水韧性并做初步水力设计。
Rice Yield Prediction Using Multi-Modal Regression Learning with Optimized Ensemble Models
构建多模态回归学习框架，融合气候、遥感与作物因子，实现水稻产量连续预测。
IMPLEMENTATION OF META-HEURISTIC OPTIMIZATION ALGORITHMS IN CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT DETECTION AND CLASSIFICATION
综述元启发式算法嵌入CNN流程以优化目标检测与分类的研究进展。
Spatio-temporal analysis and forecasting of land use/land cover change in East Medinipur district, India using CA-Markov model
用遥感与CA-Markov模型分析印度东梅迪尼普尔2001-2021年土地利用变化并预测至2041年
Modeling the global potential of smart farming innovations
全球5公里尺度评估五类智慧农业创新在农田的盈利性与扩散潜力。
MACHINE LEARNING BASED PREDICTION OF HYDROGEOLOGICAL PARAMETERS AND GROUNDWATER POTENTIAL INDEX USING GEOSPATIAL AND BOREHOLE DATA
提出融合地理空间与钻孔数据的机器学习框架，预测水文地质参数与地下水潜力指数。