CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS

Ali YASAR; İsmail SARİTAS; M. Akif SAHMAN; A. Oktay DUNDAR

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

Makale detayları

CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS

Yazarlar:

Ali YASAR | İsmail SARİTAS | M. Akif SAHMAN | A. Oktay DUNDAR

Yayıncı:

İsmail SARITAŞ

Dergi:

International Journal of Intelligent Systems and Applications in Engineering 2015 Vol.3 Issue 4, pp.136-139

Belge Tipi:

Makale

Yayın Tarihi:

12/2015

Belge Dili:

Türkçe

Document ID (Org No.):

2000817588

Sıklık:

Üç Aylık

eISSN:

2147-6799

DOI:

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

Özet:

 

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%.

Makale detayları

CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS

Yazarlar: Ali YASAR | İsmail SARİTAS | M. Akif SAHMAN | A. Oktay DUNDAR

Yayıncı: İsmail SARITAŞ

Dergi: International Journal of Intelligent Systems and Applications in Engineering 2015 Vol.3 Issue 4, pp.136-139

Belge Tipi: Makale

Yayın Tarihi: 12/2015

Belge Dili: Türkçe

Document ID (Org No.): 2000817588

Sıklık: Üç Aylık

eISSN: 2147-6799

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

Sayı

Yazarlar:

Ali YASAR | İsmail SARİTAS | M. Akif SAHMAN | A. Oktay DUNDAR

Yayıncı:

İsmail SARITAŞ

Dergi:

International Journal of Intelligent Systems and Applications in Engineering 2015 Vol.3 Issue 4, pp.136-139

Belge Tipi:

Makale

Yayın Tarihi:

12/2015

Belge Dili:

Türkçe

Document ID (Org No.):

2000817588

Sıklık:

Üç Aylık

eISSN:

2147-6799

DOI:

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