Prediction of fruit quality using near-infrared via NARX model

Nowadays, the awareness of health and safety among consumers has been increase. This scenario caused them become willing to pay more for high quality fruit products. However, it is not easy to grade fruits by using only our eyes. Therefore non-destructive fruits internal quality assessment technique...

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Main Author:	Mohamad Yatim, Norfadzliah
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/32822/1/NorfadzliahMohamadYatimMFKE2012.pdf
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id	my-utm-ep.32822
record_format	uketd_dc
spelling	my-utm-ep.328222018-05-27T07:55:09Z Prediction of fruit quality using near-infrared via NARX model 2012-01 Mohamad Yatim, Norfadzliah TK Electrical engineering. Electronics Nuclear engineering Nowadays, the awareness of health and safety among consumers has been increase. This scenario caused them become willing to pay more for high quality fruit products. However, it is not easy to grade fruits by using only our eyes. Therefore non-destructive fruits internal quality assessment technique is an area that both technology and market section concern about. The objectives of this project are to study about Near Infrared Spectroscopy (NIRS) as a fruit quality measurement method, to evaluate the use of NIRS for nondestructive measuring SSC of apples and to predict the best model of the measurement data by using Auto-Regressive with Exogenous Input (ARX) Model and Nonlinear Auto-Regressive with Exogenous Input (Nonlinear ARX) Model. The Near-Infrared (NIR) reflectance spectra and the soluble solids content (SSC) of apples data have been recorded before from an experiment. The impact of the orders or numbers of poles of the model has been investigated based on the performance (best fit) of the model. The ARX Model and Nonlinear ARX Model indicate excellent prediction performance of the model with the best fit value were 87.11% and 100% respectively. 2012-01 Thesis http://eprints.utm.my/id/eprint/32822/ http://eprints.utm.my/id/eprint/32822/1/NorfadzliahMohamadYatimMFKE2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Mohamad Yatim, Norfadzliah Prediction of fruit quality using near-infrared via NARX model
description	Nowadays, the awareness of health and safety among consumers has been increase. This scenario caused them become willing to pay more for high quality fruit products. However, it is not easy to grade fruits by using only our eyes. Therefore non-destructive fruits internal quality assessment technique is an area that both technology and market section concern about. The objectives of this project are to study about Near Infrared Spectroscopy (NIRS) as a fruit quality measurement method, to evaluate the use of NIRS for nondestructive measuring SSC of apples and to predict the best model of the measurement data by using Auto-Regressive with Exogenous Input (ARX) Model and Nonlinear Auto-Regressive with Exogenous Input (Nonlinear ARX) Model. The Near-Infrared (NIR) reflectance spectra and the soluble solids content (SSC) of apples data have been recorded before from an experiment. The impact of the orders or numbers of poles of the model has been investigated based on the performance (best fit) of the model. The ARX Model and Nonlinear ARX Model indicate excellent prediction performance of the model with the best fit value were 87.11% and 100% respectively.
format	Thesis
qualification_level	Master's degree
author	Mohamad Yatim, Norfadzliah
author_facet	Mohamad Yatim, Norfadzliah
author_sort	Mohamad Yatim, Norfadzliah
title	Prediction of fruit quality using near-infrared via NARX model
title_short	Prediction of fruit quality using near-infrared via NARX model
title_full	Prediction of fruit quality using near-infrared via NARX model
title_fullStr	Prediction of fruit quality using near-infrared via NARX model
title_full_unstemmed	Prediction of fruit quality using near-infrared via NARX model
title_sort	prediction of fruit quality using near-infrared via narx model
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/32822/1/NorfadzliahMohamadYatimMFKE2012.pdf
_version_	1747816068887347200

Prediction of fruit quality using near-infrared via NARX model

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