Open access
Jul 2026
AgriX-SENet: Squeeze-and-Excitation-based deep learning framework for explainable plant disease detection in sustainable agriculture
The proposed AgriX-SENet framework effectively combines high classification performance with model interpretability, addressing a key limitation of existing CNN-based plant disease detection systems and making it a promising solution for scalable agricultural diagnostics.
S. Raj, Prashant Johri, Vishwadeepak Singh Baghela et al.
· Frontiers in Plant Science · 1 citation