earticle

영어

Early diagnosis of crop diseases as- sists the farmers to increase their output and save on their earnings. In this research, the Corn Leaf Disease Dataset with four classes is used, namely, Cercospora leaf spot, Common rust, Northern Leaf Blight, and Healthy. An image transformer (ViT) model is used, and image patches are treated as sequences, which enables them to cap- ture fine and global details. Application of transfer learning on a trained ViT enhances the accuracy and lowers the training time. Accuracy, precision, recall and F1-score measurements indicate that ViT is similar in performance to CNN models, and it is therefore useful in the detection of plant diseases.