Rice Leaf Disease Detection using Mobile Net and Inception V.3

An increase in the demand of rice production tons of rice is consumed each year but due to many bacteria in the rice leaf plant result in the shortage of production in rice this can affect a loss of rice. Each year almost everyone is facing this issue so to resolve the issue we need to find a quick solution that identifies the bacteria as early as possible and treat the root cause of diseases with the correct pesticide, due to this the development of image processing is going to help in this solution. so, we are going to use a technique in which we have mobile net and inception net we had evaluated the consistency and each criterion of a system by using mobile net we achieved training accuracy of 98.92% and validation accuracy of 70.31% also from inspection net we achieved an accuracy of 96.88% and validation accuracy of 76.56%.