Agriculture is one of the essential aspects of life, as well as playing an important role in everyone’s life where it’s impossible for one to continue life without it, however plants in this field suffer from a lot of diseases, especially rice plant diseases, where the economy of a lot of countries depend on this crop, having all that said, a lot of researchers started implementing such systems, were some of them worked on a lot of diseases of the rice leaves but with a low accuracy achieved depending on the extraction of the features from the images used. In this paper, an intelligent system will be deployed by selecting a model trained with the rice plant leaves diseases dataset and then integrating it with a mobile application that will classify the type of disease, then show a few steps of treatment to be applied on the diseased part.