Detection Model of Tea Disease Severity under Low Light Intensity Based on YOLOv8 and EnlightenGAN
In response to the challenge of low recognition rates for similar phenotypic symptoms of tea gallagher fault finder battery diseases in low-light environments and the difficulty in detecting small lesions, a novel adaptive method for tea disease severity detection is proposed.This method integrates an image enhancement algorithm based on an improve