Jiao Wang

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...