Classification of Leaf Type Using Artificial Neural Networks

Abstract

A number of shape features for automatic plant recognition based on digital image processing have been proposed by Pauwels et al. in 2009. Then Silva et al in 2014 have presented database comprises 40 different plant species. We performed in our study a classification process using dataset and artificial neural networks which have been prepared by Silva and et al. It has been determined that classification accuracy is over 92%.

Authors and Affiliations

Ali Yasar| Guneysinir Vocational School, University of Selcuk, Konya, Turkey, Ismail Saritas| Faculty of Technology, University of Selcuk, Konya, Turkey, M. Akif Sahman| Guneysinir Vocational School, University of Selcuk, Konya, Turkey, A. Oktay Dundar| Akoren Vocational School, University of Selcuk, Konya, Turkey

Keywords

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  • EP ID EP787
  • DOI 10.18201/ijisae.49279
  • Views 461
  • Downloads 23

How To Cite

Ali Yasar, Ismail Saritas, M. Akif Sahman, A. Oktay Dundar (2015). Classification of Leaf Type Using Artificial Neural Networks. International Journal of Intelligent Systems and Applications in Engineering, 3(4), 136-139. https://europub.co.uk/articles/-A-787