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。
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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。
GIS and remote sensing based multicriteria analysis for identifying potential agricultural land: A case study on Savar Upazila, Bangladesh
用GIS与遥感多准则分析评估孟加拉Savar地区潜在农业用地适宜性。
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。
Identificación de índices de vegetación relacionados con componentes de rendimiento de frijol común (Phaseolus vulgaris L.) mediante el uso de sensores multiespectrales
用机载多光谱传感器评估菜豆产量构成与植被指数的关系。
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。