Classification of Siirt and Long Type Pistachios (Pistacia vera L.) by Artificial Neural Networks

Authors

  • Kadir Sabanci
  • Murat Koklu Selçuk Üniversitesi Teknoloji Fakültesi
  • Muhammed Fahri Unlersen Selcuk Universty

DOI:

https://doi.org/10.18201/ijisae.74573

Keywords:

Long type of pistachios, Siirt pistachios, Classification, Image processing, Artificial neural networks.

Abstract

Quality is one of the important factors in agricultural products marketing. Grading machines have great role in quality control systems. The most efficient method used in grading machines today is image processing. This study aims to do the grading of high valued agricultural product of our land called pistachio that has two different types namely Siirt and Long type of pistachios by image processing methods and artificial neural networks. Photos of Siirt and long type of pistachios are taken by a Webcam with CCD sensor. These photos were converted to gray scale in Matlab. Afterwards, these photos were converted to binary photo format using Otsu’s Method. Then this data was used to train multi-layered neural network to complete grading.  Matlab was used for both image processing and artificial neural networks. Successes of the grading with image processing and artificial neural networks for mixed type pistachios Siirt and Long were researched.

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Author Biographies

Kadir Sabanci

Karamanoglu Mehmetbey University

Murat Koklu, Selçuk Üniversitesi Teknoloji Fakültesi

Bilgisayar Mühendisliği 12 Yıl

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Published

01.04.2015

How to Cite

[1]
K. Sabanci, M. Koklu, and M. F. Unlersen, “Classification of Siirt and Long Type Pistachios (Pistacia vera L.) by Artificial Neural Networks”, Int J Intell Syst Appl Eng, vol. 3, no. 2, pp. 86–89, Apr. 2015.

Issue

Section

Research Article

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