Wheat leaf disease classification using vision transformer based deep learning approach
This paper uses DL models followed by a vision transformer model (ViTM) to extract multilevel features to focus more on the disease-infected area on the plant with enhanced accuracy, and proves that InceptionV3 outperforms the other models.