Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple

Impact parameters were explored to be used for bruising predictions in apple by employing multiple regression analysis. All impact parameters observed were potential to be involved in the predictions except mass of fruit and impact duration. The multiple regression analysis based on maximum accelera...

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Main Author: Yuwana, Yuwana (Author)
Format: EJournal Article
Published: Indonesian Association of Food Technologists, 2014-05-20.
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042 |a dc 
100 1 0 |a Yuwana, Yuwana  |e author 
245 0 0 |a Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple 
260 |b Indonesian Association of Food Technologists,   |c 2014-05-20. 
500 |a https://jurnal.ugm.ac.id/ifnp/article/view/15173 
520 |a Impact parameters were explored to be used for bruising predictions in apple by employing multiple regression analysis. All impact parameters observed were potential to be involved in the predictions except mass of fruit and impact duration. The multiple regression analysis based on maximum acceleration, velocity change, initial velocity, absorbed energy, maximum deformation and residual deformation produced a coefficient correlation (R) of 0.95 and 0.04% error for the relation between predicted bruise diameter and measured bruise diameter, a coefficient correlation (R) of 0.94 and 0.09% error for the relation between predicted bruise depth and measured bruise depth, a coefficient correlation (R) of 0.95 and 3.64% error for the relation between predicted bruise volume and measured bruise volume. The multiple regression based only on the maximum acceleration and velocity change still produced reliable bruising predictions. 
540 |a Copyright (c) 1970 Food and Nutrition Progress 
540 |a http://creativecommons.org/licenses/by-sa/4.0 
546 |a eng 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |a Peer-reviewed Article  |2 local 
786 0 |n Indonesian Food and Nutrition Progress; Vol 5, No 1 (1998); 34-38 
786 0 |n 2597-9388 
786 0 |n 0854-6177 
787 0 |n https://jurnal.ugm.ac.id/ifnp/article/view/15173/10179 
856 4 1 |u https://jurnal.ugm.ac.id/ifnp/article/view/15173/10179  |z Get Fullteks