Detection of Brinjal Leaf Diseases based on Superpixel approach using SLIC Clustering

Abstract

In India, people are largely dependent on farming for their food as farming or agriculture is the essential source of livelihood. Among all the vegetables, brinjals are such type of vegetables which are farmed largely in rural areas and also it is one of the most widely used eatable items for the people of India. However, the foremost problem is diseases detected in brinjal plants from time to time, which is the most noteworthy stumbling block towards qualitative production of brinjals. The traditional and conventional diagnosis method of brinjal diseases detection implicates naked eye observations of each and every single plant by an expert through field visit which is very much tardy and also deprived from high accuracy. To get over from this kind of challenges faced by the farmers, a SLIC clustering based method is developed in this research, which plays a vital role in the early detection as well as identification of unhealthy leaves.