Detection of hazelnut varieties and development of mobile application with CNN data fusion feature reduction-based models
Yazarlar (7)
Bunyamin Gencturk
Selçuk Üniversitesi, Türkiye
Selçuk Üniversitesi, Türkiye
Sadiye Arsoy
Selçuk Üniversitesi, Türkiye
Selçuk Üniversitesi, Türkiye
Doç. Dr. Yavuz Selim Taspinar Selçuk Üniversitesi, Türkiye
Dr. Öğr. Üyesi Ilkay Cinar Selçuk Üniversitesi, Türkiye
Öğr. Gör. Ramazan Kursun Selçuk Üniversitesi, Türkiye
Dr. Öğr. Üyesi Elham Tahsın Yasın YASIN Selçuk Üniversitesi, Türkiye
Murat Koklu Selçuk Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | European Food Research and Technology (Q2) | ||
| Dergi ISSN | 1438-2377 Dergi Bilgileri (2024) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2024 |
| Kabul Tarihi | 02-09-2023 | Yayınlanma Tarihi | 28-09-2023 |
| Cilt / Sayı / Sayfa | 250 / 1 / 97–110 | DOI | 10.1007/s00217-023-04369-9 |
| Makale Linki | https://doi.org/10.1007/s00217-023-04369-9 | ||
| UAK Araştırma Alanları |
Bilgi Güvenliği ve Kriptoloji
Görüntü İşleme
Yapay Zeka
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| Özet |
| In many crops worldwide, including hazelnuts, the majority of stages in production and delivery to end-users are conducted either manually or with machine equipment lacking the advancements brought by technology. Non-destructive, fast, and reliable methods, particularly deep learning algorithms, have emerged as prominent techniques for determining product quality and classification in fruits, vegetables, and cereal products in recent years. This study aims to classify hazelnuts using deep learning algorithms, thereby minimizing the labor, time, and cost expended during the sorting process. Hazelnut images were obtained from Giresun, Ordu, and Van hazelnut varieties. The dataset consists of 1165 images of Giresun, 1324 images of Ordu, and 1138 images of Van hazelnut varieties. The classification was performed using deep learning models such as InceptionV3 and ResNet50. To combine the classification … |
| Anahtar Kelimeler |
| Artificial intelligence | Computer vision | Convolutional neural networks | Deep learning | Hazelnut classification |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 28 |
| Scopus | 32 |
| Google Scholar | 60 |