 This study investigated the use of low-cost, miniaturized hyperspectral imaging technology for detecting infected trees in forests. The technology was able to accurately identify individual trees with an accuracy of 74.7 percent, which could be useful for forest health management. This article was authored by Rupanasi, Aja Honkavara, Paivai Lytikainen-Serenma, and others.