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。
农业AI与大模型
人工智能算法、大模型与决策支持系统
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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。
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。
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。
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。
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。
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。
Machine Learning for Drought Analysis and Forecasting: A Critical Review of Data Fusion, Extreme-Event Sensitivity, Explainability and Generalization
综述55篇文献，比较机器学习干旱监测预报在定义、数据与验证上的差异。
Spatial Modeling of Topsoil Total Carbon and Texture from Spectral Characteristics of Bare Soil Surface Images of Landsat 5/8 Using Machine Learning
用Landsat 5/8裸土光谱指数识别裸土并机器学习建模表层土壤质地与全碳。
Mapping Soil Salinity in Arid Agricultural Regions Using Multi-Source Remote Sensing and a Long-Range Dependency-Enhanced Deep Learning Framework
提出LRD-Net深度学习框架，融合多源遥感与环境协变量，估算新疆干旱绿洲区土壤盐分。
Hierarchical cross-modal spatiotemporal attention network for crop yield prediction in complex Himalayan agroecosystems
提出分层跨模态时空注意力网络HCM-STAN，融合多源农业数据预测喜马拉雅山区苹果产量。
Integrating earth observation and machine learning for forest fire risk assessment in Rasuwa district, Nepal
整合地球观测与随机森林模型评估尼泊尔Rasuwa地区森林火灾风险。
Scalable, cloud-native decision support system for Variable Rate Application (VRA) based on multi-year NDRE time series in arable precision agriculture
构建云原生决策支持系统，用多年NDRE时序自动生成精准农业变量施肥/播种处方图。
SAMWater: a prompt-guided multimodal framework for transferable water mapping with the segment anything model
提出SAMWater，用提示引导多模态基础模型实现可迁移地表水制图。
Knowledge Distillation for Hybrid CNN–Vision Transformer Architectures: A Systematic Review
系统综述2015-2026年混合CNN-ViT架构的知识蒸馏方法，按迁移方向、知识类型和应用领域分类
Application of Deep Learning Techniques for Vineyard Mapping and Characterization Using Multispectral UAV Imagery: A Case Study from Northern Greece
用多光谱无人机影像和深度学习实现葡萄园制图与冠层特征提取。
Integrating UAV-Based Remote Sensing and Deep Learning for Early Detection of Bacterial Leaf Blight in Rice
Integrating UAV-Based Remote Sensing and Deep Learning for Early Detection of Bacterial Leaf Blight in Rice。Research Square
Improving early season crop type mapping using machine learning algorithms with combined SAR and optical time series
融合Sentinel-1 SAR与Sentinel-2光学时序，用集成机器学习实现印度早季作物类型高