The Use of Machine Learning to Assess the Impact of the Ozonation Process on Selected Mechanical Properties of Japanese Quince Fruits

The Use of Machine Learning to Assess the Impact of the Ozonation Process on Selected Mechanical Properties of Japanese Quince Fruits

In this study, selected mechanical properties of fruits of six varieties of Japanese quince (<i>Chaenomeles japonica</i>) were investigated. The influence of their storage time and the applied ozone at a concentration of 10 ppm for 15 and 30 min on water content, skin and flesh puncture...

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Bibliographic Details
Main Authors: Józef Gorzelany, Piotr Kuźniar, Miłosz Zardzewiały, Katarzyna Pentoś, Tadeusz Murawski, Wiesław Wojciechowski, Jarosław Kurek
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agriculture
Subjects:
ozone
quince fruit
mechanical properties
metamodeling
Online Access:https://www.mdpi.com/2077-0472/14/11/1995
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https://www.mdpi.com/2077-0472/14/11/1995

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