Rahul Singh Pawar

A Deep Hybrid Convolutional Neural Network (CNN)–Transformer Approach for Early Detection of Tomato Leaf Diseases

A deep hybrid Convolutional Neural Network –Transformer architecture is introduced by combining ConvNeXt Large (ConvNeXt-L) and Swin Transformer architecture by combining ConvNeXt Large (ConvNeXt-L) and Swin Transformer (as local feature extractor) and Swin Transformer (as global context encoder) to predict tomato leaf diseases.