 This study investigated the use of low-cost, miniaturized hyperspectral imaging technology for detecting infected trees and forests. The technology proved successful in identifying individual trees with an accuracy of 74.7%, which could be useful for forest health management. This article was authored by Rupenasi, Ajahankavara, Pivylyticanansurenma, and others.