Detection of rice pest and diseases, and proper management and control of pest infested rice fields may result to a higher rice crop production. Using modern technologies, like smart phones, farmers can be aided in detecting and identifying the type of pests and diseases found in their rice fields. Convolutional Neural Network using r language are used to find the diseases in rice by using images of disease leaves. The disease images are collected from the UCI Machine Learning Repository contain the three types of diseases namely Bacterial Leaf Blight, Brown Spot, Leaf Smut.

Keywords : Convolutional Neural Network, Rstudio, Paddy Image Dataset.