Open access
Jul 2026
EDISP: a hybrid CNN-ViT framework for robust maize leaf disease detection and classification
The proposed EDISP model significantly outperforms standalone CNN and ViT Models in multiple performance metrics, achieving an overall classification accuracy of 99.40%, precision of 99.43%, recall of 99.38%, and an F1-score of 99.40%.
Aziz Ullah, Shah Hussain, Qi Hou et al.
· Frontiers in Plant Science · 0 citations