Scopus
YÖKSİS DOI Eşleşti
SJR Q1
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM
European Food Research and Technology · Mayıs 2023
YÖKSİS Kayıtları
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM
European Food Research and Technology (Springer Science and Business Media LLC) · 2023 SCI-Expanded
Arş. Gör. MÜCAHİD MUSTAFA SARITAŞ →
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM
European Food Research and Technology · 2023 SCI-Expanded
Arş. Gör. AHMET ERHARMAN →
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM
European Food Research and Technology (Springer Science and Business Media LLC) · 2023 SCI-Expanded
Arş. Gör. AHMET ERHARMAN →
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM
European Food Research and Technology · 2023 SCI-Expanded
Arş. Gör. MÜCAHİD MUSTAFA SARITAŞ →
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM
European Food Research and Technology (Springer Science and Business Media LLC) · 2023 SCI-Expanded
Doç. Dr. ADEM GÖLCÜK →
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM
European Food Research and Technology · 2023 SCI-Expanded
Doç. Dr. ALİ YAŞAR →
YÖKSİS Kayıtları — ISSN Eşleşmesi
The effect of nitrogen fertilization on tocopherols in rapeseed genotypes
2008 ISSN: 1438-2377 SCI-Expanded
Dr. Öğr. Üyesi İRFAN ÖZER →
The effect of nitrogen fertilization on tocopherols in rapeseed genotypes
2008 ISSN: 1438-2377 SCI-Expanded 14 atıf
Dr. Öğr. Üyesi İRFAN ÖZER →
The effect of various types of poultry pre and post rigor meats on emulsification capacity water holding capacity and cooking loss
2005 ISSN: 1438-2377 SSCI 15 atıf
Prof. Dr. CEMALETTİN SARIÇOBAN →
The effect of irrigation and harvest time on bioactive properties of olive fruits issued from some olive varieties grown in Mediterranean region
2020 ISSN: 1438-2377 SCI
Doç. Dr. NURHAN USLU →
The effect of irrigation and harvest time on bioactive properties
of olive fruits issued from some olive varieties grown in Mediterranean
region
2020 ISSN: 1438-2377 SCI-Expanded
Prof. Dr. MEHMET MUSA ÖZCAN →
Volatile profile evolution and sensory evaluation of traditional skinbag Tulum cheeses manufactured in Karaman mountainous region of Turkey during ripening
2021 ISSN: 1438-2377 SCI-Expanded Q2
Doç. Dr. TALHA DEMİRCİ →
Computer Vision Classification of Dry Beans (Phaseolus Vulgaris L.) Based on Deep Transfer Learning Techniques
2022 ISSN: 1438-2377 SCI-Expanded Q2
Arş. Gör. MUSA DOĞAN →
The influence of decoction and infusion methods and times on antioxidant activity, caffeine content and phenolic compounds of coffee brews
2022 ISSN: 1438-2377 SCI-Expanded Q2
Doç. Dr. NURHAN USLU →
A New Hybrid Model for Classification of Corn Using Morphological Properties
2023 ISSN: 1438-2377 SCI-Expanded Q2
Prof. Dr. ŞAKİR TAŞDEMİR →
The effect of nitrogen fertilization on tocopherols in rapeseed genotypes
2008 ISSN: 1438-2377 SCI-Expanded Q2
Dr. Öğr. Üyesi İRFAN ÖZER →
A review: benefit and bioactive properties of olive (Olea europaea L.) leaves
2016 ISSN: 1438-2377 SCI-Expanded
Prof. Dr. MEHMET MUSA ÖZCAN →
Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques
2022 ISSN: 1438-2377 SCI-Expanded Q2
Doç. Dr. İLKER ALİ ÖZKAN →
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM
2023 ISSN: 1438-2377 SCI-Expanded Q2
Doç. Dr. ADEM GÖLCÜK →
Benchmarking analysis of CNN models for bread wheat varieties
2023 ISSN: 1438-2377 SCI-Expanded Q2
Doç. Dr. ALİ YAŞAR →
Classification of Deep Image Features of Lentil Varieties with Machine Learning Techniques
2023 ISSN: 1438-2377 SCI-Expanded Q2
Doç. Dr. MURAT KÖKLÜ →
A New Hybrid Model for Classification of Corn Using Morphological Properties
2023 ISSN: 1438-2377 SCI-Expanded Q2
Doç. Dr. MURAT KÖKLÜ →
Detection of fish freshness using artificial intelligence methods
2023 ISSN: 1438-2377 SCI-Expanded Q2
Doç. Dr. MURAT KÖKLÜ →
Segmentation of dry bean (Phaseolus vulgaris L.) leaf disease images with U-Net and classification using deep learning algorithms
2023 ISSN: 1438-2377 SCI-Expanded Q2
Doç. Dr. MURAT KÖKLÜ →
Classification of Cicer arietinum varieties using MobileNetV2 and LSTM
2023 ISSN: 1438-2377 SCI-Expanded Q2
Doç. Dr. ALİ YAŞAR →
Makale Bilgileri
ISSN14382377
Yayın TarihiMayıs 2023
Cilt / Sayfa249 · 1343-1350
Scopus ID2-s2.0-85148065708
Özet
Cicer arietinum is an important grain product in human nutrition with its high protein and high fiber content. In underdeveloped countries, people can meet the protein they need with cicer due to the difficulties in reaching meat products. Cicer productivity and usage purposes differ according to cicer varieties. Determining the appropriate seed variety is an important problem for agricultural producers. It is quite difficult to make a visual classification of varieties of cicer seeds because they are very similar to each other. In this study, two deep learning architectures using a computer vision system are proposed to overcome this problem. In the proposed architectures, there were 6 types of Cicer arietinum images whose input was obtained with this CV. The two proposed architectures are transfer learning in MobileNet-v2. In the first architecture, cicer images were classified by transfer learning with fine-tuning on pre-trained CNN (Convolutional Neural Network) models in MobileNet-v2. However, the second proposed architecture is hybrid as it includes a layer of Long Short Term Memory (LSTM) that also takes into account temporal features. In the classification of cicer varieties from cicer images, it is 92.3% in the first architecture and 92.97% in the second hybrid architecture. The results show that the proposed models achieve high success in classifying cicer images. This contributes to the studies in the literature with the high classification and deep architectural design of the study.
Yazarlar (4)
1
Adem Golcuk
ORCID: 0000-0002-6734-5906
2
Ali Yasar
3
Mucahid Mustafa Saritas
4
Ahmet Erharman
Anahtar Kelimeler
Cicer arietinum
Classification
Hybrid
LSTM
MobileNet-v2
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
European Food Research and Technology
Q1
SJR Skoru0,744
H-Index131
YayıncıSpringer Science and Business Media Deutschland GmbH
ÜlkeGermany
Food Science (Q1)
Industrial and Manufacturing Engineering (Q1)
Biochemistry (Q2)
Biotechnology (Q2)
Chemistry (miscellaneous) (Q2)
Metrikler
21
Atıf
4
Yazar
5
Anahtar Kelime