CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS

Ali Yasar; Ismail Saritas; M. Akif Sahman; A. Oktay Dundar

doi:10.18201/ijisae.49279

CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS

Authors

Ali Yasar
Ismail Saritas
M. Akif Sahman
A. Oktay Dundar

DOI:

https://doi.org/10.18201/ijisae.49279

Keywords:

Artificial Neural Network, Leaf Dataset, ANN, Levenberg-Marquardt

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%.

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Published

31.12.2015

How to Cite

Yasar, A., Saritas, I., Sahman, M. A., & Dundar, A. O. (2015). CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS. International Journal of Intelligent Systems and Applications in Engineering, 3(4), 136–139. https://doi.org/10.18201/ijisae.49279

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Issue

Vol. 3 No. 4 (2015)

Section

Research Article

License

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