A tomato disease identification method based on leaf image automatic labeling algorithm and improved <scp>YOLOv5</scp> model

Abstract

BC-YOLOv5 realizes the automatic labeling of tomato leaf images before the start of training. This method not only identifies nine common tomato diseases, but also improve the accuracy of disease identification and have a more balanced identification effect on various diseases. It provides a reliable method for the identification of tomato disease. © 2023 Society of Chemical Industry.