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Evaluation of the Feasibility of Coffee Variety Classification from Bean Images Using Convolutional Neural Networks Cover

Evaluation of the Feasibility of Coffee Variety Classification from Bean Images Using Convolutional Neural Networks

Acta Universitatis Cibiniensis. Series E: Food Technology
Volume 29 (2025): Issue 2 (December 2025)
By: Michał Zimka and  Katarzyna Pentoś  
Open Access
|Feb 2026

Authors

Michał Zimka

Institute of Agricultural Engineering, Wrocław University of Environmental and Life Sciences, Wrocław, Poland

Katarzyna Pentoś

katarzyna.pentos@upwr.edu.pl

Institute of Agricultural Engineering, Wrocław University of Environmental and Life Sciences, Wrocław, Poland
DOI: https://doi.org/10.2478/aucft-2025-0014 | Journal eISSN: 2344-150X | Journal ISSN: 2344-1496
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Language: English
Page range: 177 - 188
Submitted on: Jun 25, 2025
|
Accepted on: Sep 20, 2025
|
Published on: Feb 9, 2026
Published by: Lucian Blaga University of Sibiu
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Arabica,
Robusta,
machine learning,
transfer learning,
MobileNet,
ResNet50,
and ResNet101
Related subjects:
Industrial chemistry,
Industrial chemistry, other,
Food science and technology

© 2026 Michał Zimka, Katarzyna Pentoś, published by Lucian Blaga University of Sibiu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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