Apple (Malus domestica) Quality Evaluation Based on Analysis of Features Using Machine Learning Techniques
Yazarlar (6)
Talha Alperen Cengel
Selçuk Üniversitesi, Türkiye
Selçuk Üniversitesi, Türkiye
Bunyamin Gencturk
Selçuk Üniversitesi, Türkiye
Selçuk Üniversitesi, Türkiye
Dr. Öğr. Üyesi Elham Tahsın Yasın YASIN Selçuk Üniversitesi, Türkiye
Muslume Beyza Yildiz
Selçuk Üniversitesi, Türkiye
Selçuk Üniversitesi, Türkiye
Dr. Öğr. Üyesi Ilkay Cinar 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 | Applied Fruit Science (Q4) | ||
| Dergi ISSN | 2948-2623 Dergi Bilgileri (2024) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2024 |
| Kabul Tarihi | 27-08-2024 | Yayınlanma Tarihi | 04-10-2024 |
| Cilt / Sayı / Sayfa | 66 / 6 / 2123–2133 | DOI | 10.1007/s10341-024-01196-4 |
| Makale Linki | https://doi.org/10.1007/s10341-024-01196-4 | ||
| UAK Araştırma Alanları |
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| Özet |
| The use of artificial intelligence and machine learning algorithms for assessment of apple quality was evaluated in this study. Apples are renowned for containing a variety of nutritional elements. By analyzing apple characteristics, the study aimed to categorize apple quality, thus promoting apple consumption and production. The dataset used consists of 4000 data and eight features provided by an American agricultural company. There were two quality classes of apples: there were 2004 quality apples and 1996 low-quality apples. Artificial intelligence classification algorithms such as multilayer perceptron (MLP), support vector machine (SVM), random forest (RF), k‑nearest neighbor (k-NN), and decision tree (DT) have were to predict apple quality. The performance of the algorithms was evaluated on their ability to accurately predict the quality level of the apples. According to the results of the study, the MLP … |
| Anahtar Kelimeler |
| Apple quality | Classification of apples | Machine learning | Apple dataset | Quality classification |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 2 |
| Scopus | 4 |
| Google Scholar | 15 |