In the recent years there have loss in the production of the agricultural yields due to the disease of the plants. Latest emerging technologies like machine learning, deep learning and Internet of things address the early prediction of these plant disease and minimize the crop loss. Deep learning technology extract the complex features from the image dataset of the plants and train the model. In this paper we perform the analysis of the literature review for the plant disease. Convolutional Neural Network (CNN), Support vector machine (SVM) and various deep learning models were used for the classification of the healthy and diseased plant images. Latest deep learning algorithm like YOLO (You Only Look Once) will be used for the object detection and imprve the accuracy of the model.