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Investigating the Effect of Ozonation on Mechanical Parameters of Lonicera caerulea L. Fruits Using Machine Learning Cover

Investigating the Effect of Ozonation on Mechanical Parameters of Lonicera caerulea L. Fruits Using Machine Learning

Agricultural Engineering
Volume 29 (2025): Issue 1 (January 2025)
By: Oskar Basara,  Katarzyna Pentoś and  Józef Gorzelany  
Open Access
|Jun 2025

Authors

Oskar Basara

oskarb@dokt.ur.edu.pl

Department of Food and Agriculture Production Engineering, University of Rzeszow, Rzeszów, Poland

Katarzyna Pentoś

katarzyna.pentos@upwr.edu.pl

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

Józef Gorzelany

jgorzelany@ur.edu.pl

Department of Food and Agriculture Production Engineering, University of Rzeszow, Rzeszów, Poland
DOI: https://doi.org/10.2478/agriceng-2025-0007 | Journal eISSN: 2449-5999 | Journal ISSN: 2083-1587
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Language: English
Page range: 97 - 114
Submitted on: Feb 1, 2025
Accepted on: Apr 1, 2025
Published on: Jun 9, 2025
Published by: Polish Society of Agricultural Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Lonicera caerulea L.,
morphological properties,
mechanical properties,
gas exchange,
machine learning
Related subjects:
Business and economics,
Business management,
Industries,
Transportation, logistics, air traffic, shipping,
Engineering,
Mechanical engineering,
Production technology,
Materials sciences,
Biomaterials and natural materials,
Materials for energy

© 2025 Oskar Basara, Katarzyna Pentoś, Józef Gorzelany, published by Polish Society of Agricultural Engineering
This work is licensed under the Creative Commons Attribution 4.0 License.

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