Rice bacterial blight resistant cultivar selection based on visible/near-infrared spectrum and deep learning.

This study illustrated that informative VIS-NIR spectrums coupled with attention deep learning had great potential to not only directly assess disease severity but also excavate spectral characteristics for rapid screening disease resistant cultivars in high-throughput phenotyping.