Scopus
🔓 Açık Erişim YÖKSİS DOI Eşleşti
SJR Q1
Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application
European Food Research and Technology · Temmuz 2024
YÖKSİS Kayıtları
Fisheye Freshness Detection Using Common Deep Learning Algorithms and Machine Learning Methods with a Developed Mobile Application
European Food Research and Technology · 2024 SCI-Expanded
Doç. Dr. MURAT KÖKLÜ →
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 TarihiTemmuz 2024
Cilt / Sayfa250 · 1919-1932
Scopus ID2-s2.0-85190658931
Erişim🔓 Açık Erişim
Özet
Abstract: Fish is commonly ingested as a source of protein and essential nutrients for humans. To fully benefit from the proteins and substances in fish it is crucial to ensure its freshness. If fish is stored for an extended period, its freshness deteriorates. Determining the freshness of fish can be done by examining its eyes, smell, skin, and gills. In this study, artificial intelligence techniques are employed to assess fish freshness. The author’s objective is to evaluate the freshness of fish by analyzing its eye characteristics. To achieve this, we have developed a combination of deep and machine learning models that accurately classify the freshness of fish. Furthermore, an application that utilizes both deep learning and machine learning, to instantly detect the freshness of any given fish sample was created. Two deep learning algorithms (SqueezeNet, and VGG19) were implemented to extract features from image data. Additionally, five machine learning models to classify the freshness levels of fish samples were applied. Machine learning models include (k-NN, RF, SVM, LR, and ANN). Based on the results, it can be inferred that employing the VGG19 model for feature selection in conjunction with an Artificial Neural Network (ANN) for classification yields the most favorable success rate of 77.3% for the FFE dataset.
Yazarlar (3)
1
Muslume Beyza Yildiz
ORCID: 0009-0002-0231-687X
2
Elham Tahsin Yasin
ORCID: 0000-0003-3246-6000
3
Murat Koklu
ORCID: 0000-0002-2737-2360
Anahtar Kelimeler
Classification
Deep learning
Feature extraction
Fisheye
Fish freshness
Machine learning
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Son Atıflar
Deep feature optimization for enhanced fish freshness assessment
Ecological Informatics
· 2026 · DOI
Detection of Oranges on Trees Across Diverse Field Conditions Using YOLOV11 Models
Applied Fruit Science
· 2026 · DOI
Evaluation Method of Tuna Freshness Using SHG Imaging
Ieej Transactions on Electronics Information and Systems
· 2026 · DOI
Computer vision in aquaculture: transforming fish freshness monitoring
Critical Reviews in Food Science and Nutrition
· 2026 · DOI
Deep Learning-Based Prediction of Fish Freshness and Purchasability Using Multi-Angle Image Data
Foods
· 2026 · DOI
An impedance-based beef freshness detection method using GcForest learning model
Journal of Food Measurement and Characterization
· 2025 · DOI
Comparative analysis of autofluorescence spectra in a filet of three fish species during chilled storage for raw consumption
Food Chemistry
· 2025 · DOI
A Deep Learning-Based Sensing System for Identifying Salmon and Rainbow Trout Meat and Grading Freshness for Consumer Protection
Sensors
· 2025 · DOI
A Non-Destructive Deep Learning–Based Method for Shrimp Freshness Assessment in Food Processing
Processes
· 2025 · DOI
Innovative integration of computer vision, IoT, and digital twin in food quality and safety assessment
Trends in Food Science and Technology
· 2025 · DOI
Scimago Dergi (ISSN Eşleşmesi)
European Food Research and Technology
Q1
SJR Skoru0,692
H-Index136
YayıncıSpringer Science and Business Media Deutschland GmbH
ÜlkeGermany
Industrial and Manufacturing Engineering (Q1)
Biochemistry (Q2)
Biotechnology (Q2)
Chemistry (miscellaneous) (Q2)
Food Science (Q2)
Metrikler
35
Atıf
3
Yazar
6
Anahtar Kelime