Classification of Peanut Leaves Disease using Back Propagation Neural Network

Abstract

A number of classification systems have been developed depending on the intended purpose of the system. This system tries to classify peanut leaves diseases.. The images of the peanut leaf are acquired by means of an digital imaging device, such as a scanner. The acquired color image is prepared with Image processing steps in order to get the digital image to be suitable with Neural Network. Back-Propagation Algorithm is used to train the Network in order to classify the peanut leaves diseases. In this system, there are many different types of peanut leaves diseases namely Early and Late Leaf spot, Rust, Web blotch, Leaf scorch, Alternaria Leaf spot, Phyllosticta Leaf spot, Peanut Mottle virus, Tomato Spotted wilt virus, Iron Chlorosis,and Ultraviolet radiation.