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Cbam-augmented ResNet for high-accuracy grape leaf disease detection

Maajid Bashir A. Reshi Shabana Shafi Ibrahim Aljubayri Mohammad Zubair Khan
Sep 2026 · International Journal of Machine Learning and Cybernetics · Vol 17 · 0 citations · 32 references

TL;DR

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.

DOI Semantic Scholar
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