BibTex RIS Kaynak Göster

CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS

Yıl 2015, , 136 - 139, 15.12.2015
https://doi.org/10.18201/ijisae.49279

Öz

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%.

Kaynakça

  • “Evaluation of Features for Leaf Discrimination”, Pedro F. B. Silva, Andre R.S. Marcal,Rubim M. Almeida da Silva (2013), Springer Lecture Notes in Computer Science, Vol. 7950, 197-204.
  • “Development of a System for Automatic Plant Species Recognition”, Pedro Filipe Silva,Disserta¸ca˜o de Mestrado (Master’s Thesis), Faculdade de Ciˆencias da Universidade do Porto. Available for download or online reading at http://hdl.handle.net/10216/67734
  • Haykin, S., Neural networks a comprehensive foundation, 1994.
  • Ertunç, H.M., Ocak, H., Aliustaoğlu, C., "ANN and ANFIS based multi-staged decision algorithm for the detection and diagnosis of bearing faults", Neural Comput and Application, 2012.
  • Uğur A., KINACI A.C., “Yapay Zeka Teknikleri ve Yapay Sinir Ağları Kullanılarak Web Sayfalarının Sınıflandırılması”, 11.İnternet Konferansları, 2006. (in Turkish)
  • Çelik E., Atalay M., Bayer H., “Yapay Sinir Ağlari Ve Destek Vektör Makineleri İle Deprem Tahmininde Sismik Darbelerin Kullanilmasi Earthquake Prediction Using Seismic Bumps With Artificial Neural Networks And Support Vector Machines”,2014.
  • Özkan Ö., Yildiz M., Köklükaya E., “Fibromiyalji Sendromunun Teşhisinde Kullanilan Laboratuar Testlerinin Sempatik Deri Cevabi Parametreleriyle Desteklenerek Teşhis Doğruluğunun Arttirilmasi”2011. (in Turkish)
  • Sağıroğlu, Ş., Beşdok, E., Erler, M., Mühendislikte yapay zeka uygulamaları-I, Ufuk Kitap Kırtasiye-Yayıncılık Tic. Ltd., 2003. (in Turkish)
  • The MathWorks, Inc., MATLAB® Documentation Neural Network Toolbox Help, “Levenberg-Marquardt Algorithm”, Release 2009a, 2009.
Yıl 2015, , 136 - 139, 15.12.2015
https://doi.org/10.18201/ijisae.49279

Öz

Kaynakça

  • “Evaluation of Features for Leaf Discrimination”, Pedro F. B. Silva, Andre R.S. Marcal,Rubim M. Almeida da Silva (2013), Springer Lecture Notes in Computer Science, Vol. 7950, 197-204.
  • “Development of a System for Automatic Plant Species Recognition”, Pedro Filipe Silva,Disserta¸ca˜o de Mestrado (Master’s Thesis), Faculdade de Ciˆencias da Universidade do Porto. Available for download or online reading at http://hdl.handle.net/10216/67734
  • Haykin, S., Neural networks a comprehensive foundation, 1994.
  • Ertunç, H.M., Ocak, H., Aliustaoğlu, C., "ANN and ANFIS based multi-staged decision algorithm for the detection and diagnosis of bearing faults", Neural Comput and Application, 2012.
  • Uğur A., KINACI A.C., “Yapay Zeka Teknikleri ve Yapay Sinir Ağları Kullanılarak Web Sayfalarının Sınıflandırılması”, 11.İnternet Konferansları, 2006. (in Turkish)
  • Çelik E., Atalay M., Bayer H., “Yapay Sinir Ağlari Ve Destek Vektör Makineleri İle Deprem Tahmininde Sismik Darbelerin Kullanilmasi Earthquake Prediction Using Seismic Bumps With Artificial Neural Networks And Support Vector Machines”,2014.
  • Özkan Ö., Yildiz M., Köklükaya E., “Fibromiyalji Sendromunun Teşhisinde Kullanilan Laboratuar Testlerinin Sempatik Deri Cevabi Parametreleriyle Desteklenerek Teşhis Doğruluğunun Arttirilmasi”2011. (in Turkish)
  • Sağıroğlu, Ş., Beşdok, E., Erler, M., Mühendislikte yapay zeka uygulamaları-I, Ufuk Kitap Kırtasiye-Yayıncılık Tic. Ltd., 2003. (in Turkish)
  • The MathWorks, Inc., MATLAB® Documentation Neural Network Toolbox Help, “Levenberg-Marquardt Algorithm”, Release 2009a, 2009.
Toplam 9 adet kaynakça vardır.

Ayrıntılar

Bölüm Research Article
Yazarlar

Ali Yasar

İsmail Saritas

M. Akif Sahman Bu kişi benim

A. Oktay Dundar Bu kişi benim

Yayımlanma Tarihi 15 Aralık 2015
Yayımlandığı Sayı Yıl 2015

Kaynak Göster

APA Yasar, A., Saritas, İ., 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
AMA Yasar A, Saritas İ, Sahman MA, Dundar AO. CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS. International Journal of Intelligent Systems and Applications in Engineering. Aralık 2015;3(4):136-139. doi:10.18201/ijisae.49279
Chicago Yasar, Ali, İsmail Saritas, M. Akif Sahman, ve A. Oktay Dundar. “CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS”. International Journal of Intelligent Systems and Applications in Engineering 3, sy. 4 (Aralık 2015): 136-39. https://doi.org/10.18201/ijisae.49279.
EndNote Yasar A, Saritas İ, Sahman MA, Dundar AO (01 Aralık 2015) CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS. International Journal of Intelligent Systems and Applications in Engineering 3 4 136–139.
IEEE A. Yasar, İ. Saritas, M. A. Sahman, ve A. O. Dundar, “CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS”, International Journal of Intelligent Systems and Applications in Engineering, c. 3, sy. 4, ss. 136–139, 2015, doi: 10.18201/ijisae.49279.
ISNAD Yasar, Ali vd. “CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS”. International Journal of Intelligent Systems and Applications in Engineering 3/4 (Aralık 2015), 136-139. https://doi.org/10.18201/ijisae.49279.
JAMA Yasar A, Saritas İ, Sahman MA, Dundar AO. CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS. International Journal of Intelligent Systems and Applications in Engineering. 2015;3:136–139.
MLA Yasar, Ali vd. “CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS”. International Journal of Intelligent Systems and Applications in Engineering, c. 3, sy. 4, 2015, ss. 136-9, doi:10.18201/ijisae.49279.
Vancouver Yasar A, Saritas İ, Sahman MA, Dundar AO. CLASSIFICATION OF LEAF TYPE USING ARTIFICIAL NEURAL NETWORKS. International Journal of Intelligent Systems and Applications in Engineering. 2015;3(4):136-9.

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