Discriminating Robusta coffee (Coffea canephora) cropping systems

The coffee agro-natural systems are increasingly being transformed into small-scale coffee-growing agricultural systems. In this context, the challenge of accurately classifying coffee cropping system (CS) becomes more significant, particularly in region like Uganda where dense vegetation and diverse topography complicate traditional land survey. This study harnesses the capabilities of remote sensing to provide both imaging and non-imaging hyperspectral data crucial for distinguishing between various coffee CS and other land covers. Specifically, it focuses on the spectral analysis of three types of Robusta coffee CS - those integrating agroforestry (AFS), those combined with banana cultivation, and in full sun expose