Review
Open access
Sep 2026
A physics-informed hybrid deep learning model for spatiotemporal rice disease prediction using multi-source data
This work proposes a physics-informed hybrid gated recurrent unit (PI-HGRU) model for spatiotemporal dynamic prediction of rice sheath blight disease, caused by a fungus, and demonstrates that integrating epidemiological mechanisms into deep learning models in a physics-informed manner can improve predictive accuracy a...
Zi-Chao Jin, Jiao Wang, Wen-Jiang Huang et al.
· bioRxiv · 0 citations