Automatic classification of plants based on their leaves

The proposed algorithm identifies a plant in three distinct stages i) pre-processing ii) feature extraction iii) classification. Different leaf features, such as morphological features, Fourier descriptors and a newly proposed shape-defining feature, are extracted. These features become the input vector of the artificial neural network (ANN). The algorithm is trained with 817 samples of leaves from 14 different fruit trees and gives more than 96% accuracy. To verify the effectiveness of the algorithm, it has also been tested on Flavia and ICL datasets and it gives 96% accuracy on both the datasets. (C) 2015 IAgrE. Published by Elsevier Ltd. All rights reserved.