Abstract: In recent years, the term Precision agriculture has gained tremendous attention due to its ability to improve crop yield while reducing its cost. This can be achieved by applying modern Machine learning and Computer vision techniques. In this paper, we propose a comprehensive study of the following deep learning models VGG16 and InceptionV3. Our approach involves training these models individually on a data-set of apple-tree leaf images, which include healthy and diseased trees,and evaluating their performance on a validation set.