Image-based disease diagnosis training using convolutional neural networks.
(a) The PlantVillage image dataset used in this study. This dataset contains 38 categories of diseased or healthy leaf images. See Figure S2
for the names of species and diseases assigned to each label. (b) InceptionV3-based convolutional neural network (CNN) architecture used in this study. Conv, convolutional layer; Mixed, inception module. (c) Accuracy, precision, recall, and mean F1 scores against the training, validation, and test data using the trained weights. (d) Confusion matrix drawn against the test dataset. See Figure S2
for an enlarged view.