Analysis and Survey on Fruit Disease Identification in Agriculture Using Data Mining

Abstract

Diseases in fruit cause wrecking issue in economic misfortunes and production in agricultural industry around the world. Disease management by physically is a challenging task. A large portion of the diseases are seen on the leaves or stems of the plant. Hence agriculturist needs to discover the efficient techniques. To reduce the cost of production and enhance the quality and amount of any fruit. It will be extremely valuable for the farmers to detect the disease in beginning time. Data mining is the process of discovering and extracting of intriguing patterns and knowledge from a lot of data. There are various data mining strategies to anticipate the distinctive fruit diseases. In this paper the k-means clustering, k-nearest neighbor, support vector machine algorithms are examined.