Good health is a first priority of all human being. And to maintain health the first need is a healthy food, which we get from our agriculture resources. According to the United Nations’ World Population Prospects (WPP), India is projected to surpass China as the world’s most populous country in 2023. And to maintain the appetite and health of such huge population it’s very important for agriculture field to grow the more and healthy crops. Now a days there are number of diseases which are causing crop underproduction. Delay in identifying the actual disease will result into more loss and cost of remedy. So, it’s very important to have the knowledge of diseases for early detection. In today’s date Artificial intelligence technologies such as Classification algorithms using Deep Learning are so efficient and are capable of predicting the disease based on the images of the crops. Hence, in this paper have reviewed the most efficient classification algorithms and proposed few most suitable models for image-based disease detection

Keywords : CNN, Inception V3, VGG16, VGG19, ResNet18