RAAWC-UNet: an apple leaf and disease segmentation method based on residual attention and atrous spatial pyramid pooling improved UNet with weight compression loss
IntroductionEarly detection of leaf diseases is necessary to control the spread of plant diseases, and one of the important steps is the segmentation of leaf and disease images.The uneven light and leaf overlap in complex situations make segmentation of leaves and diseases quite difficult.Moreover, the significant differences in ratios of leaf and