Sep 2026
Cbam-augmented ResNet for high-accuracy grape leaf disease detection
A deep learning model designed to automatically detect grape leaf diseases based on images, using a pretrained ResNet50 which is trained on ImageNet as feature extractor and a Convolutional Block Attention Module to boost its discriminative capacity is introduced.
Maajid Bashir, A. Reshi, Shabana Shafi et al.
· International Journal of Mac... · 0 citations