A Survey on Plant Leaf Disease Identification

In this paper we present survey on the various types of leaf diseases in plants and their identification process. An identification problem deals with associating a given input pattern with one of the distinct classes. Plant leaf disease identification is a technique where leaf spot disease is identified based on its different morphological features. There are various successful identification techniques like Probabilistic Neural Network, Genetic Algorithm, Back Propagation Neural Network and Principal Component Analysis (PCA). Deciding on the method for identification is often a difficult task because the quality of the results can be vary for different input data. Plant leaf disease identification has wide applications in the field of Agriculture to increase the productivity. The goal of this survey is to provide an overview of different identification techniques for plant leaf disease and gives the general approach which use these techniques. Keywords— Neural Network, Genetic, Disease, PCA, Plants.