Application of laser-induced backscattering imaging system for classifying different ripening stages of Musa Acuminata cv. Berangan bananas

Inadequacy and inefficiency of monitoring quality systems for fruits have made a great impact that leads to an increasing number of post-harvest losses as they could have been damage during storage. Fruits undergone complex changes in their biochemical and physicochemical during ripening process....

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Main Author:	Zulkifli, Nurazwin
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Backscattering Imaging systems
Online Access:	http://psasir.upm.edu.my/id/eprint/71190/1/FK%202017%2060%20-%20IR.pdf
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id	my-upm-ir.71190
record_format	uketd_dc
spelling	my-upm-ir.711902019-08-29T08:30:53Z Application of laser-induced backscattering imaging system for classifying different ripening stages of Musa Acuminata cv. Berangan bananas 2017-05 Zulkifli, Nurazwin Inadequacy and inefficiency of monitoring quality systems for fruits have made a great impact that leads to an increasing number of post-harvest losses as they could have been damage during storage. Fruits undergone complex changes in their biochemical and physicochemical during ripening process. This study evaluates the potential of the backscattering imaging system to evaluate the bananas at different ripening stages. Backscattering image (BSI) of Musa Acuminata cv. Berangan was captured by a charge coupled device (CCD) camera and a laser diode emitting light at 658 nm. The system consisted of CCD camera with a zoom lens (focal length 18-108mm), a solid state laser diode of 658 nm at 1mm diameter as a light source and a computer equipped with an image processing software for automated image analysis. A total number of 360 samples of Musa Acuminata cv. Berangan from ripening stages 2 to 7 with 60 samples per stage group were used in this study. The gray level intensity and size of the backscattering area were used for estimating the quality properties of bananas. The results showed that the highest correlation was found between BSI parameters and total soluble solids content (TSS). Moreover, linear discriminant models were built for the two- class (unripe, ripe) and six-class (based on the commercial colour index) of ripening stages classifications. The overall accuracy for two-class and six-class classifications resulted in 94.2% and 59.2% classification accuracies, respectively. It can be concluded that the laser lightinduced backscattering imaging could be potentially used for predicting the ripening stages of bananas and could be further developed for an automated quality control system. Backscattering Imaging systems 2017-05 Thesis http://psasir.upm.edu.my/id/eprint/71190/ http://psasir.upm.edu.my/id/eprint/71190/1/FK%202017%2060%20-%20IR.pdf text en public masters Universiti Putra Malaysia Backscattering Imaging systems
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Backscattering Imaging systems
spellingShingle	Backscattering Imaging systems Zulkifli, Nurazwin Application of laser-induced backscattering imaging system for classifying different ripening stages of Musa Acuminata cv. Berangan bananas
description	Inadequacy and inefficiency of monitoring quality systems for fruits have made a great impact that leads to an increasing number of post-harvest losses as they could have been damage during storage. Fruits undergone complex changes in their biochemical and physicochemical during ripening process. This study evaluates the potential of the backscattering imaging system to evaluate the bananas at different ripening stages. Backscattering image (BSI) of Musa Acuminata cv. Berangan was captured by a charge coupled device (CCD) camera and a laser diode emitting light at 658 nm. The system consisted of CCD camera with a zoom lens (focal length 18-108mm), a solid state laser diode of 658 nm at 1mm diameter as a light source and a computer equipped with an image processing software for automated image analysis. A total number of 360 samples of Musa Acuminata cv. Berangan from ripening stages 2 to 7 with 60 samples per stage group were used in this study. The gray level intensity and size of the backscattering area were used for estimating the quality properties of bananas. The results showed that the highest correlation was found between BSI parameters and total soluble solids content (TSS). Moreover, linear discriminant models were built for the two- class (unripe, ripe) and six-class (based on the commercial colour index) of ripening stages classifications. The overall accuracy for two-class and six-class classifications resulted in 94.2% and 59.2% classification accuracies, respectively. It can be concluded that the laser lightinduced backscattering imaging could be potentially used for predicting the ripening stages of bananas and could be further developed for an automated quality control system.
format	Thesis
qualification_level	Master's degree
author	Zulkifli, Nurazwin
author_facet	Zulkifli, Nurazwin
author_sort	Zulkifli, Nurazwin
title	Application of laser-induced backscattering imaging system for classifying different ripening stages of Musa Acuminata cv. Berangan bananas
title_short	Application of laser-induced backscattering imaging system for classifying different ripening stages of Musa Acuminata cv. Berangan bananas
title_full	Application of laser-induced backscattering imaging system for classifying different ripening stages of Musa Acuminata cv. Berangan bananas
title_fullStr	Application of laser-induced backscattering imaging system for classifying different ripening stages of Musa Acuminata cv. Berangan bananas
title_full_unstemmed	Application of laser-induced backscattering imaging system for classifying different ripening stages of Musa Acuminata cv. Berangan bananas
title_sort	application of laser-induced backscattering imaging system for classifying different ripening stages of musa acuminata cv. berangan bananas
granting_institution	Universiti Putra Malaysia
publishDate	2017
url	http://psasir.upm.edu.my/id/eprint/71190/1/FK%202017%2060%20-%20IR.pdf
_version_	1747812987354218496

Application of laser-induced backscattering imaging system for classifying different ripening stages of Musa Acuminata cv. Berangan bananas

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