Shengying Yang

Tomato Leaf Disease Identification via Information-Theoretic Entropy Attention and Hierarchical Feature Alignment

EA-HFA, an innovative framework based on deep neural networks that synergistically integrates an Entropy Attention mechanism alongside a Hierarchical Feature Alignment component, holds practical potential as an alternative solution for automated plant disease monitoring in precision farming.