Explainable Hybrid CNN—Transformer Framework for Tomato Disease Diagnosis and Severity Assessment
This work demonstrates an advanced DL approach for classifying plant diseases using the EfficientNet-B0 backbone integrated with Transformer Encoder blocks for hybrid local-global feature learning to enhance feature representation and demonstrates superior classification performance and improved interpretability.