Hyperspectral Sensing in Detecting Asymptomatic Basal Stem Rot Infection in Oil Palm

This issue of the monograph series emphasizes the importance of hyperspectral sensing as a contemporary tool for detecting Ganoderma boninense, a fungal pathogen that causes basal stem rot (BSR) disease in oil palm trees. Hyperspectral sensing detects early infections faster and more accurately than traditional methods, which can be labor-intensive to cover a large plantation area. Unlike traditional methods that primarily depend on analyzing spatial features, it utilizes sophisticated algorithms to capture spectral similarities and identify specific differences associated with various diseases.