A global-local hybrid vision-language framework for interpretable grapevine disease diagnosis
Plant diseases pose a severe threat to agricultural productivity and global food security. Although Convolutional Neural Networks have achieved impressive classification accuracy in controlled environments, they often lack semantic reasoning capabilities and operate as uninterpretable “black boxes.” Recently, Vision-La...