 This study investigated the use of low-cost, miniaturized hyperspectral imaging technology for detecting infected trees and forests. The technology was able to accurately identify individual trees with an accuracy of 74.7% which could be useful for forest health management. This article was authored by Rupenasi, Asia Honkavara, Pai Vilitikhin and Tsirinma, and others.