Potato Disease Classification Using Convolution Neural Networks

摘要: Many plant diseases have distinct visual symptoms which can be used to identify and classify them correctly. This paper presents a potato disease classification algorithm leverages these appearances the recent advances in computer vision made possible by deep learning. The uses convolutional neural network training it tubers into five classes, four classes healthy class. database of images this study, containing potatoes different shapes, sizes diseases, was acquired, classified, labelled manually experts. models were trained over train-test splits better understand amount image data needed apply learning for such tasks.