Fully Convolutional Network for Semantic Segmentation of Potato Scabs and Mechanical Defect
Potatoes are an alternative staple and popular source of energy. Not all potatoes in Indonesia have favorable conditions. Diseases in potatoes can significantly damage their value. Common Scab is one of the common diseases that occur in potatoes. An efficient way to detect Common Scab disease in potatoes is by segmenting the potato image. External disease segmentation in potatoes is done using two methods, Deep Learning Fully Convolutional Network and a combination of several digital image processing techniques, including binary thresholding, median blurring, background segmentation, contrast stretching, and color coding.