This research proposes a method for the automatic diagnosis and classification of leaf diseases in Kenyan Arabica coffee leaves. We trained Deep Convolution Neural Learning models on JMuBEN2 obtained from Mendeley data public access to determine whether particular image contains Phoma, Cercospora, or Rust. The proposed this work were ResNet50, Densenet-121, VGG19 architectures, all are well-kno...