Modelling of Mechanical Properties of Fresh and Stored Fruit of Large Cranberry Using Multiple Linear Regression and Machine Learning

The study investigated the selected mechanical properties of fresh and stored large cranberries. The analyses focused on changes in the energy requirement up to the breaking point and aimed to identify the apparent elasticity index of the fruit of the investigated large cranberry fruit varieties rel...

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Bibliographic Details
Published in:	Agriculture (Basel) Vol. 12; no. 2; p. 200
Main Authors:	Gorzelany, Józef, Belcar, Justyna, Kuźniar, Piotr, Niedbała, Gniewko, Pentoś, Katarzyna
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-02-2022
Subjects:	Acidity Artificial intelligence Artificial neural networks Berries Cranberries cranberry compression Deformation Food Fruits large cranberry Learning algorithms Machine learning mathematical modelling Mechanical properties Modulus of elasticity Moisture content Neural networks Plantations Regression Regression analysis Skin Storage Storage temperature Support vector machines Water content Belarus Canada United States > US
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