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.