Leaf disease prediction using deep learning
Agriculture plays an important role in surviving crores of people. Farmers are facing many problems in cultivation due to the lack of earlier detection of diseases in leaves. So, to overcome this problem we are proposing this project for earlier detection of diseases in leaves using the Convolutional Neural Network algorithm in deep learning. In this, we will train the machine using deep leaning. So that the machine will be trained 80%.This means the machine is able to recognize some patterns using the Convolutional Neural Network as an algorithm. There are thousands of image datasets in which it contains the images of diseased leaves as well as healthy ones. There is no algorithm other than Convolutional Neural Network because this is the only one that takes datasets as images. Finally, this project is used for identifying the type of diseases in leaves which helps farmers very much.