A novel approach for vegetation classification using UAV-based hyperspectral imaging

•A liquid crystal tunable filter was used in a UAV remote sensing application.•The system was tested on a mango orchard.•The new filter allowed for simplification of the data processing method.•The classification accuracy for vegetation was 94.5%.•The new system should be valuable for precision agriculture applications.