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Peer-reviewedCC BY 4.0Scientific Reports

Comparative and explainable deep learning for cherry (Prunus avium L.) cultivar classification using convolutional neural networks (CNN) and transformer architectures

  • Bünyamin Demir
  • Fatih Ünal
  • Ömer Türk
  • Merve Şentürk Acar
  • Kaan Yaman
  • Uzay Gezer
  • Mehmet Yaman
  • Yazgan Tunç
Open at sourceDOICite

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Cite

BibTeXRIS
BibTeX
@article{demir2026comparative,
  title = {{Comparative and explainable deep learning for cherry (Prunus avium L.) cultivar classification using convolutional neural networks (CNN) and transformer architectures}},
  author = {Bünyamin Demir and Fatih Ünal and Ömer Türk and Merve Şentürk Acar and Kaan Yaman and Uzay Gezer and Mehmet Yaman and Yazgan Tunç},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-77379-8},
  url = {https://www.nature.com/articles/s41598-026-77379-8},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Comparative and explainable deep learning for cherry (Prunus avium L.) cultivar classification using convolutional neural networks (CNN) and transformer architectures
AU  - Bünyamin Demir
AU  - Fatih Ünal
AU  - Ömer Türk
AU  - Merve Şentürk Acar
AU  - Kaan Yaman
AU  - Uzay Gezer
AU  - Mehmet Yaman
AU  - Yazgan Tunç
PY  - 2026
DA  - 2026/10/30
JO  - Scientific Reports
DO  - 10.1038/s41598-026-77379-8
UR  - https://www.nature.com/articles/s41598-026-77379-8
SN  - 2045-2322
ER  -