Seasonal compatibility of RGB and multispectral vegetation indices in Amazon Cacao
评估RGB与多光谱植被指数在亚马逊可可园的季节性兼容性，以低成本监测替代多光谱传感器。
茶叶与咖啡
茶叶、咖啡、可可等饮品原料作物
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Aerial Phenotyping of Coffee Flowering Using Deep Learning for Early Yield Prediction
用无人机RGB影像和深度学习对咖啡开花分级，实现早期产量预测。
Modeling the productive potential of coffee trees in the Cerrado of Minas Gerais through hierarchical landscape analysis and remote sensing data
基于景观指标与NDVI构建模型，对巴西塞拉多咖啡树生产潜力进行分级分类。
Comparison of NDVI obtained from an active proximal sensor and UAV multispectral imagery in coffee
Comparison of NDVI obtained from an active proximal sensor and UAV multispectral imagery in coffee。Research Square
基于无人机多源遥感特征的茶树生长与氮素状况深度学习监测
融合无人机多源遥感特征与深度学习，高精度估算茶树生物量与氮素积累量。