Webserver-Based Mobile Application for Multi-class Chestnut (Castanea sativa) Classification Using Deep Features and Attention Mechanisms
Yazarlar (3)
Arş. Gör. Mustafa Yurdakul Kirikkale Üniversitesi, Türkiye
Dr. Öğr. Üyesi Kübra Uyar Alanya Alaaddin Keykubat University, Türkiye
Prof. Dr. Şakir TAŞDEMİR Sinop Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Applied Fruit Science (Q2) | ||
| Dergi ISSN | 2948-2623 Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2025 |
| Kabul Tarihi | 31-03-2025 | Yayınlanma Tarihi | 05-05-2025 |
| Cilt / Sayı / Sayfa | 67 / 3 / 102–0 | DOI | 10.1007/s10341-025-01327-5 |
| Makale Linki | https://doi.org/10.1007/s10341-025-01327-5 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| Chestnut (Castanea sativa) is a nutritious food with fiber, vitamins C and B group, minerals such as potassium, magnesium, and iron. In addition to being a nutritious food, chestnuts are used in various fields such as medicine, cosmetics, and energy. All the mentioned characteristics make it a demanded product worldwide. To determine the market price of chestnuts, it is necessary to have a good classification. In traditional approaches, producers classify chestnuts according to their external appearance; however, this is tedious, time-consuming, and prone to errors. There is a need for computer-aided systems to analyze the chestnut varieties. Therefore, a camera system was set up and images of chestnuts belonging to ‘Alandız’, ‘Aydın’, ‘Simav’, and ‘Zonguldak’ varieties were captured to create a novel dataset. Moreover, a deep-based mobile application was developed to classify chestnut types. After testing the 16 … |
| Anahtar Kelimeler |
| CBAM attention module | Convolutional neural network | Machine Learning | Smart crop classification | Transfer learning in agriculture |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 5 |
| Scopus | 5 |
| Google Scholar | 10 |