Detection of Apple Valsa Canker Based on Hyperspectral Imaging

Approximately half of the world’s apple production occurs in East Asia, where Valsa canker (AVC) is a prominent disease. This disease affects bark tree, ultimately killing it and resulting significant economic loss. Visual identification diseased area bark, particularly early stages, extremely difficult. In this study, we conducted hyperspectral imaging trunks branches AVC-infected trees revealed that can be identified near-infrared reflectance, even when difficult to distinguish visually. A discriminant analysis using Mahalanobis distance was performed on normalized difference spectral index (NDSI) obtained from measured reflectance. diagnostic model for discriminating between healthy areas created threshold value NDSI. An accuracy assessment presented overall as >0.94 combinations bands at 660–690 nm 720–760 nm. simple applied other tree diseases.