STA-Net: A Decoupled Shape and Texture Attention Network for Lightweight Plant Disease Classification
The discussion on STA-Net, a Decoupled Shape and Texture Attention Network, explores how separating shape and texture analysis improves plant disease classification. Experts discuss how this lightweight design boosts accuracy even with limited data, enabling early detection. The conclusion emphasizes its practical use in global agriculture to promote resilient food security.