R. Isnanto

Paddy Leaf Disease Classification Using EfficientNet-B0 with Squeeze-and-Excitation Attention Outperforms B1 and B2 for Multi-Class Tasks

Paddy leaf diseases cause significant yield losses in rice production, threatening global food security. This study presents a comparative evaluation of EfficientNet B0, B1, and B2 architectures integrated with Squeeze-and-Excitation (SE) attention for multi-class paddy leaf disease classification using the Paddy Docto...