Olayiwola Charles Adesoba

MultiBranchFusionNet: A Lightweight Attention-Guided Dual-Branch Framework for Tomato Leaf Disease Classification Using Heterogeneous Field and Public Images

Tomato foliar diseases reduce yield, degrade fruit quality, and cause major economic losses, especially in regions such as Nigeria where diagnosis still relies largely on manual visual inspection. Although deep learning has improved automated plant disease recognition, many models are trained on controlled datasets tha...