Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple

ABSTRACT 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...

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Main Author: Perpustakaan UGM, i-lib
Format: Article NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 1998
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Online Access:https://repository.ugm.ac.id/18607/
http://i-lib.ugm.ac.id/jurnal/download.php?dataId=1401
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spelling id-ugm-repo.186072014-06-18T00:37:11Z https://repository.ugm.ac.id/18607/ Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple Perpustakaan UGM, i-lib Jurnal i-lib UGM ABSTRACT 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. Keywords: apple, bruising, impact parameter [Yogyakarta] : Universitas Gadjah Mada 1998 Article NonPeerReviewed Perpustakaan UGM, i-lib (1998) Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple. Jurnal i-lib UGM. http://i-lib.ugm.ac.id/jurnal/download.php?dataId=1401
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
topic Jurnal i-lib UGM
spellingShingle Jurnal i-lib UGM
Perpustakaan UGM, i-lib
Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple
description ABSTRACT 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. Keywords: apple, bruising, impact parameter
format Article
NonPeerReviewed
author Perpustakaan UGM, i-lib
author_facet Perpustakaan UGM, i-lib
author_sort Perpustakaan UGM, i-lib
title Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple
title_short Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple
title_full Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple
title_fullStr Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple
title_full_unstemmed Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple
title_sort multiple regression based on impact parameters for bruising prediction in apple
publisher [Yogyakarta] : Universitas Gadjah Mada
publishDate 1998
url https://repository.ugm.ac.id/18607/
http://i-lib.ugm.ac.id/jurnal/download.php?dataId=1401
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