Abstract

Author(s): D.Padmapriya, Dr. V.Arulmozhi

Agricultural Productivity is mainly depends on Economy because of this reason the Leaf Disease Prediction is the one of the most significant role in agriculture, as having disease in plants are natural. If the prevention is not taken for this ar ea means it will cause more affects in plants and due to which respective product excellent, quantity or productiveness is affected. This survey especially focuses on to examine the various data mining techniques in agriculture for monitoring plant leaf diseases by using various features. The several data mining strategies to predicting the leaf disease with the aid of the usage of the numerous features is discussed based on their advantages, disadvantage and overall performance metrics in terms of accuracy, specificity, sensitivity, and so on.