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Development of a rapid and accurate system to differentiate Malaysian honey samples using UV and color image

Master of Science in Mechatronic Engineering

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Bibliographic Details
Main Author: Abd Alazeez, Almaleeh
Other Authors: Abdul Hamid, Adom, Prof. Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Honey
Multisensor data fusion
Honey origins
Support Vector Machine (SVM)
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77903
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spelling my.unimap-779032023-02-21T07:42:58Z Development of a rapid and accurate system to differentiate Malaysian honey samples using UV and color image Abd Alazeez, Almaleeh Abdul Hamid, Adom, Prof. Dr. Honey Multisensor data fusion Honey origins Support Vector Machine (SVM) Master of Science in Mechatronic Engineering Malaysia is a country rich with natural forest resources such as spices, herbs and honey. Honey and honey-based products in Malaysia is gaining popularity as a result to the healthy lifestyle promotions by various groups including the government. This leads to the business opportunities to provide honey and its derivatives into the market. However, this also creates another problem in determining the quality, and types of honey offered by the market. This is because different honey types, for example, have different properties, which may be desirable for different purposes, and market segments. At the moment, the methods in determining the botanical origins of honey are all laboratory-based, which may be tedious, not portable, involve chemical synthesis, time consuming and required expert personal. This research introduces a more efficient approach using UV for honey classification. This research work also shows that a low-cost approach using RGB digital camera, can also be used for the same purpose. In addition to that, the work introduces the idea of fusion using the two approaches and shows an improvement in classification. The work presented the classification of the honey based on two characteristics from three (3) types of local honey, namely the antioxidant contents and colour variations. The former uses the UV spectroscopy of selected wavelength range, and the latter using RGB digital camera. Principal Component Analysis (PCA) was used for both methods to reduce the dimension of extracted data. Support Vector Machine (SVM) was used for the classification of honey. The assessment was done separately for each of the methods, and also on the fusion of both data after features extraction. The overall classification of the fusion method improved significantly compared to single modality. Honey classification based on the fusion method was able to achieve 94% accuracy. Hence, the proposed methods have the ability to provide accurate and rapid classification of honey products in terms of its origin. The proposed system can be applied to the Malaysian honey industry and further improve the quality assessment and provide tracebility. 2016 2023-02-21T07:37:59Z 2023-02-21T07:37:59Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77903 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Honey
Multisensor data fusion
Honey origins
Support Vector Machine (SVM)
spellingShingle Honey
Multisensor data fusion
Honey origins
Support Vector Machine (SVM)
Abd Alazeez, Almaleeh
Development of a rapid and accurate system to differentiate Malaysian honey samples using UV and color image
description Master of Science in Mechatronic Engineering
author2 Abdul Hamid, Adom, Prof. Dr.
author_facet Abdul Hamid, Adom, Prof. Dr.
Abd Alazeez, Almaleeh
format Thesis
author Abd Alazeez, Almaleeh
author_sort Abd Alazeez, Almaleeh
title Development of a rapid and accurate system to differentiate Malaysian honey samples using UV and color image
title_short Development of a rapid and accurate system to differentiate Malaysian honey samples using UV and color image
title_full Development of a rapid and accurate system to differentiate Malaysian honey samples using UV and color image
title_fullStr Development of a rapid and accurate system to differentiate Malaysian honey samples using UV and color image
title_full_unstemmed Development of a rapid and accurate system to differentiate Malaysian honey samples using UV and color image
title_sort development of a rapid and accurate system to differentiate malaysian honey samples using uv and color image
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77903
_version_ 1772813083925807104
score 13.214268

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