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Application of Imaging Technology and Machine Learning to Assess the Behavior of Parthenocarpic and Non-Parthenocarpic Cucumber Cultivars Under Lacto-Fermentation Cover

Application of Imaging Technology and Machine Learning to Assess the Behavior of Parthenocarpic and Non-Parthenocarpic Cucumber Cultivars Under Lacto-Fermentation

Acta Universitatis Cibiniensis. Series E: Food Technology
Volume 29 (2025): Issue 1 (June 2025)
By: Ewa RopelewskaORCID,  Anna WrzodakORCID,  Justyna Szwejda-GrzybowskaORCID,  Monika Mieszczakowska-FrącORCID and  Urszula KłosińskaORCID  
Open Access
|Sep 2025

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DOI: https://doi.org/10.2478/aucft-2025-0007 | Journal eISSN: 2344-150X | Journal ISSN: 2344-1496
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Language: English
Page range: 89 - 98
Submitted on: Feb 10, 2025
Accepted on: Apr 18, 2025
Published on: Sep 22, 2025
Published by: Lucian Blaga University of Sibiu
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
cucumber,
spontaneous lacto-fermentation,
flesh structure,
image parameters,
machine learning
Related subjects:
Industrial chemistry,
Industrial chemistry, other,
Food science and technology

© 2025 Ewa Ropelewska, Anna Wrzodak, Justyna Szwejda-Grzybowska, Monika Mieszczakowska-Frąc, Urszula Kłosińska, 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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