This study aimed to examine the potential of convolutional neural networks (CNNs) for the detection of individual trees infested by bark beetles in a multispectral high-resolution dataset acquired by an unmanned aerial system (UAS). We compared the performance of three CNN architectures and the random forest (RF) model to classify the trees into four categories: pines. sbbd (longer in... https://www.jmannino.com/mega-pick-NFL-San-Francisco-49ers-Zone-Block-iPhone-14-Pro-MagSafe-Case-p80213-quick-pick/