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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[Yogyakarta] : Universitas Gadjah Mada
1998
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author | Perpustakaan UGM, i-lib |
author_facet | Perpustakaan UGM, i-lib |
author_sort | Perpustakaan UGM, i-lib |
collection | UGM |
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 paramete |
first_indexed | 2024-03-05T22:53:55Z |
format | Article |
id | oai:generic.eprints.org:18596 |
institution | Universiti Gadjah Mada |
last_indexed | 2024-03-13T18:28:07Z |
publishDate | 1998 |
publisher | [Yogyakarta] : Universitas Gadjah Mada |
record_format | dspace |
spelling | oai:generic.eprints.org:185962014-06-18T00:37:11Z https://repository.ugm.ac.id/18596/ 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 paramete [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=1390 |
spellingShingle | Jurnal i-lib UGM Perpustakaan UGM, i-lib Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple |
title | 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_short | Multiple Regression Based on Impact Parameters for Bruising Prediction in Apple |
title_sort | multiple regression based on impact parameters for bruising prediction in apple |
topic | Jurnal i-lib UGM |
work_keys_str_mv | AT perpustakaanugmilib multipleregressionbasedonimpactparametersforbruisingpredictioninapple |