Survey on Techniques for Plant Leaf Classification PERFORMANCE EVALUATION OF ARRAY ANTENNAS

In this paper we present survey on various classification techniques which can be used for plant leaf classification. A classification problem deals with associating a given input pattern with one of the distinct classes. Plant leaf classification is a technique where leaf is classified based on its different morphological features. There are various successful classification techniques like kNearest Neighbor Classifier, Probabilistic Neural Network, Genetic Algorithm, Support Vector Machine, and Principal Component Analalysis. Deciding on the method for classification is often a difficult task because the quality of the results can be different for different input data. Plant leaf classifications has wide applications in various fields such as botany, Ayurveda, Agriculture etc. The goal of this survey is to provide an overview of different classification techniques for plant leaf classification.