Plant Classification Using Image Processing and Neural Network

Abstract

This paper is presenting here the plant classification method using imaging technology which is useful for classifying the plants by providing the leaf image as an input. The proposed method performs classification by automatically extracting shape patterns and features performing the image processing techniques and neural network model. This method gets the leaf image as an input, performs the leaf image processing tasks, and automatically extracts the leaf shape pattern and leaf shape features. It performs the classification with the help of leaf shape features using neural network techniques. This method presents plant classification using the leaf shape features and feed forward back propagation neural network model. This method results in up to 99% accuracy of classification. This method extracts the leaf shape features and patterns automatically using image processing techniques.