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Dergiler / International Journal of Intelligent Systems and Applications in Engineering / 2015 / Cilt: 3 - Sayı: 2

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

KADİR SABANCI
MURAT KÖKLÜ
MUHAMMED FAHRİ ÜNLERŞEN
Sayfa
86–89
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Successes of the grading with image processing and artificial neural networks for mixed type pistachios Siirt and Long were researched.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Quality is one of the important factors in agricultural products marketing.
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Temel Bulgular & Veri:Grading machines have great role in quality control systems.
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Sonuç & Katkı:Successes of the grading with image processing and artificial neural networks for mixed type pistachios Siirt and Long were researched.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

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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Bu Makaleye Atıf Yap

SABANCI, K., KÖKLÜ, M., ÜNLERŞEN, M. F. (2015). Classification of Siirt and Long Type Pistachios (Pistacia vera L.) by Artificial Neural Networks. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 3 - Sayı: 2, 86–89. https://ajindex.com/articles/270351

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Kaynakça (13)

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