Application of Imaging Technology and Machine Learning to Assess the Behavior of Parthenocarpic and Non-Parthenocarpic Cucumber Cultivars Under Lacto-Fermentation
Authors
Ewa Ropelewska
Fruit and Vegetable Storage and Processing Department, The National Institute of Horticultural Research, Skierniewice, Poland
Anna Wrzodak
Fruit and Vegetable Storage and Processing Department, The National Institute of Horticultural Research, Skierniewice, Poland
Justyna Szwejda-Grzybowska
Fruit and Vegetable Storage and Processing Department, The National Institute of Horticultural Research, Skierniewice, Poland
Monika Mieszczakowska-Frąc
Fruit and Vegetable Storage and Processing Department, The National Institute of Horticultural Research, Skierniewice, Poland
Urszula Kłosińska
Department of Horticultural Crop Breeding Horticultural Crop Breeding Department, The National Institute of Horticultural Research, Skierniewice, Poland
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:
Related subjects:
© 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.