The semantic segmentation of apples from images plays an important role in the automation of the apple industry. However. existing semantic segmentation methods such as FCN and UNet have the disadvantages of a low speed and accuracy for the segmentation of apple images with complex backgrounds or rotten parts. In view of these problems. https://www.lolasalinas.com/