Early detection of rice leaf blast using leaf reflectance spectroscopy and machine learning
A non-invasive phenotyping approach combining leaf reflectance spectroscopy (350–2500 nm) with machine learning to detect rice leaf blast at asymptomatic, early, and mild stages. Targets pigment-related spectral changes ...