E-Agriculture Analysis and Grading Disease of Leaf Using Image Processing

E-Agriculture System is an Android based application. With the rapid progress of information technologies, may work have been dedicated to applying the technologies of pattern recognition and image processing to plant identification. The paper aims to describe, leaf identification based on shape. In this project, we describe the development of an Android application that gives user the ability to identify plant based on photographs of plant leafs. The detection of plant leaf disease is a very important factor to prevent serious outbreak. Plant diseases have turned into a difficult situation as it can cause significant reduction in both quality and quantity of agricultural products. Automatic detection of plant of plant leaf diseases is very important and challenging task. The developed processing scheme consist of four main steps, first a color transformation structure for the input RGB image is create, then the green pixels are masked and removing using specific threshold value, then the image is segmented and the texture statistic is computed. From the texture statistics, the presence of diseases on the plant leaf is evaluated.