Scopus
YÖKSİS DOI Eşleşti
SJR Q3
Classification of pistachio species using improved k-NN classifier
Progress in Nutrition · Şubat 2021
YÖKSİS Kayıtları
Classification of Pistachio Species Using Improved k-NN Classifier
Progress in Nutrition · 2021 SCI-Expanded
Doç. Dr. MURAT KÖKLÜ →
Classification of Pistachio Species Using Improved k-NN Classifier
Progress in Nutrition · 2021 SCI-Expanded
Doç. Dr. İLKER ALİ ÖZKAN →
YÖKSİS Kayıtları — ISSN Eşleşmesi
The Correlation between Body Conception and Actual Body Mass Index among Adolescents
2016 ISSN: 1129-8723 SCI-Expanded
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Determination of Breakfast Habits and Knowledge of Foreign Undergraduates Studying at Selcuk University in Turkey
2011 ISSN: 1129-8723 SCI-Expanded Q4
Doç. Dr. MUHAMMET ALİ CEBİRBAY →
Classification of Pistachio Species Using Improved k-NN Classifier
2021 ISSN: 1129-8723 SCI-Expanded Q4
Doç. Dr. İLKER ALİ ÖZKAN →
Mindfulness, healthy life skills and life satisfaction in varsity athletes and university students
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Investigation of life satisfaction and work stress in employees doing office exercise
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The Role of Packaging in Influencing the Behavior of Women Living in Rural and Urban Areas when Purchasing Food Products
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2022 ISSN: 1129-8723 SCI-Expanded Q4
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Eating Attitudes and Orthorexia Nervosa Tendencies in a Sample of Turkish University Students: A Cross-Sectional Study
2021 ISSN: 1129-8723 SCI-Expanded Q4
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Determination by priority weight of motoric function in children by age groups
2021 ISSN: 1129-8723 SCI-Expanded Q4
Öğr. Gör. ALİ KELEŞ →
Makale Bilgileri
Dergi
Progress in Nutrition
ISSN11298723
Yayın TarihiŞubat 2021
Cilt / Sayfa23
Scopus ID2-s2.0-85109459673
Özet
In order to keep the economic value of pistachio nuts which have an important place in the agricultural economy, the efficiency of post-harvest industrial processes is very important. To provide this efficiency, new methods and technologies are needed for the separation and classification of pistachios. Different pistachio species address different markets, which increases the need for the classification of pistachio species. In this study, it is aimed to develop a classification model different from traditional separation methods, based on image processing and artificial intelligence which are capable to provide the required classification. A computer vision system has been developed to distinguish two different species of pistachios with different characteristics that address different market types. 2148 sample image for these two kinds of pistachios were taken with a high-resolution camera. The image processing techniques, segmentation and feature extraction were applied on the obtained images of the pistachio samples. A pistachio dataset that has sixteen attributes was created. An advanced classifier based on k-NN method, which is a simple and successful classifier, and principal component analysis was designed on the obtained dataset. In this study; a multi-level system including feature extraction, dimension reduction and dimension weighting stages has been proposed. Experimental results showed that the proposed approach achieved a classification success of 94.18%. The presented high-performance classification model provides an important need for the separation of pistachio species and increases the economic value of species. In addition, the developed model is important in terms of its application to similar studies.
Yazarlar (3)
1
Ilker Ali Ozkan
2
Murat Koklu
ORCID: 0000-0002-2737-2360
3
Ridvan Saraçoǧlu
Anahtar Kelimeler
Classification
Image processing
K nearest neighbor classifier
Pistachio species
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Van Yüzüncü Yıl Üniversitesi
Van Turkey
Scimago Dergi (ISSN Eşleşmesi)
Progress in Nutrition
Q3
SJR Skoru0,247
H-Index26
YayıncıMattioli 1885
ÜlkeItaly
Food Science (Q3)
Nutrition and Dietetics (Q4)
Metrikler
42
Atıf
3
Yazar
4
Anahtar Kelime