A multimodal deep learning for rice crop health monitoring using vegetation index feature selection
融合Sentinel-1/2植被指数与气象数据，用多模态深度学习监测水稻健康。
水稻
以水稻为对象的生产、育种、植保、机械化与产业内容
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Assessing Rice Food Availability Resilience Under Paddy Field Land Use Change in Sukabumi Regency
评估印尼苏卡布米稻田2000-2020年土地利用变化下稻米供应韧性。
Hybrid Rule-Based and Machine Learning Decision-Support Framework for Smart Paddy Farming
提出规则与机器学习混合的水稻决策支持框架，提升决策精度并节水增产。
Estimation of soil organic carbon under rice-fallow system using Sentinel-2 derivatives
用Sentinel-2指数估算印度东北部稻作休耕系统不同坡度的土壤有机碳。
Cross-Regional Classification of Rice Cropping Systems Based on Within-Year Seasonal Composition Using Multimodal Remote-Sensing Time Series
提出多模态遥感时序框架，实现跨区域水稻种植制度八分类。