Deep interpretable architecture for plant diseases classification

Mohammed Brahimi, Said Mahmoudi, Kamel Boukhalfa +1

Recently, many works have been inspired by the success of deep learning in computer vision for plant diseases classification. Unfortunately, these end-to-end deep classifiers lack…