Modelling the relationship between peel colour and the quality of fresh mango fruit using Random Forests

Mango (Mangifera indica L.) is one of the major tropical fruits exported through long supply chains to export markets. Production of high quality fruits and monitoring postharvest changes during storage and transport are thus primary concerns for exporters to ensure the premium value of fresh mango...

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Main Authors: Shinji Fukuda, Eriko Yasunaga, Marcus Nagle, Kozue Yuge, Vicha Sardsud, Wolfram Spreer, Joachim Müller
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/53058
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-530582018-09-04T09:43:18Z Modelling the relationship between peel colour and the quality of fresh mango fruit using Random Forests Shinji Fukuda Eriko Yasunaga Marcus Nagle Kozue Yuge Vicha Sardsud Wolfram Spreer Joachim Müller Agricultural and Biological Sciences Mango (Mangifera indica L.) is one of the major tropical fruits exported through long supply chains to export markets. Production of high quality fruits and monitoring postharvest changes during storage and transport are thus primary concerns for exporters to ensure the premium value of fresh mango fruit after distribution. This study aims to demonstrate the applicability of Random Forests (RF) for estimating the internal qualities of mango based on peel colour. Two cultivars, namely Nam Dokmai and Irwin, having different fruit properties and grown in intensively managed orchards in Thailand and Japan, respectively, were used in this study. Postharvest changes in peel colour and fruit quality were observed under three storage conditions with respect to temperature. RF models were applied to establish a relationship between peel colour and fruit quality, and then tested the applicability based on model accuracy and variable importance computed by the RF. Specifically, this work demonstrates how the variable importance can be used to interpret the model results. The high accuracy and the information retrieved by the RF models suggest the applicability and practicality as a non-destructive assessment method for the quality of fresh mango fruit. © 2014 Published by Elsevier Ltd. 2018-09-04T09:43:18Z 2018-09-04T09:43:18Z 2014-06-01 Journal 02608774 2-s2.0-84893726481 10.1016/j.jfoodeng.2014.01.007 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84893726481&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53058
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Shinji Fukuda
Eriko Yasunaga
Marcus Nagle
Kozue Yuge
Vicha Sardsud
Wolfram Spreer
Joachim Müller
Modelling the relationship between peel colour and the quality of fresh mango fruit using Random Forests
description Mango (Mangifera indica L.) is one of the major tropical fruits exported through long supply chains to export markets. Production of high quality fruits and monitoring postharvest changes during storage and transport are thus primary concerns for exporters to ensure the premium value of fresh mango fruit after distribution. This study aims to demonstrate the applicability of Random Forests (RF) for estimating the internal qualities of mango based on peel colour. Two cultivars, namely Nam Dokmai and Irwin, having different fruit properties and grown in intensively managed orchards in Thailand and Japan, respectively, were used in this study. Postharvest changes in peel colour and fruit quality were observed under three storage conditions with respect to temperature. RF models were applied to establish a relationship between peel colour and fruit quality, and then tested the applicability based on model accuracy and variable importance computed by the RF. Specifically, this work demonstrates how the variable importance can be used to interpret the model results. The high accuracy and the information retrieved by the RF models suggest the applicability and practicality as a non-destructive assessment method for the quality of fresh mango fruit. © 2014 Published by Elsevier Ltd.
format Journal
author Shinji Fukuda
Eriko Yasunaga
Marcus Nagle
Kozue Yuge
Vicha Sardsud
Wolfram Spreer
Joachim Müller
author_facet Shinji Fukuda
Eriko Yasunaga
Marcus Nagle
Kozue Yuge
Vicha Sardsud
Wolfram Spreer
Joachim Müller
author_sort Shinji Fukuda
title Modelling the relationship between peel colour and the quality of fresh mango fruit using Random Forests
title_short Modelling the relationship between peel colour and the quality of fresh mango fruit using Random Forests
title_full Modelling the relationship between peel colour and the quality of fresh mango fruit using Random Forests
title_fullStr Modelling the relationship between peel colour and the quality of fresh mango fruit using Random Forests
title_full_unstemmed Modelling the relationship between peel colour and the quality of fresh mango fruit using Random Forests
title_sort modelling the relationship between peel colour and the quality of fresh mango fruit using random forests
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84893726481&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/53058
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