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Oil content estimation of oil palm fruit using digital imagery / Zuriati Janin and Nor Aizam Adnan

Currently, oil palm quality is graded manually. This method has some disadvantages. Firstly, it is an extremely tedious and time-consuming process prone to errors or inconsistencies. It is inaccurate and has a strong bias towards the mill. A new technique is needed in oil palm grading system. The ma...

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Main Authors: Janin, Zuriati, Adnan, Nor Aizam
Format: Research Reports
Language:English
Published: 2006
Subjects:
Fuel
Oils, fats, and waxes
Online Access:http://ir.uitm.edu.my/id/eprint/47699/1/47699.pdf
http://ir.uitm.edu.my/id/eprint/47699/
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spelling my.uitm.ir.476992021-06-21T06:21:04Z http://ir.uitm.edu.my/id/eprint/47699/ Oil content estimation of oil palm fruit using digital imagery / Zuriati Janin and Nor Aizam Adnan Janin, Zuriati Adnan, Nor Aizam Fuel Oils, fats, and waxes Currently, oil palm quality is graded manually. This method has some disadvantages. Firstly, it is an extremely tedious and time-consuming process prone to errors or inconsistencies. It is inaccurate and has a strong bias towards the mill. A new technique is needed in oil palm grading system. The main objective of this research project is to investigate the correlation between recognizable parameters of oil palm fruit such as color, shape and size against the content of the oil palm fruit. This study is confined to only a single species of oil palm fruit called TANERA and samples of this study are based on three kinds of ripeness of fruits which are known as ripe, underripe and overripe. The image of the samples is captured using NIKON micro lens camera which conducted in a room, that had proper lighting technique and with known distance between the camera and the fruit. The analysis is carried out using MATLAB image processing. The chemical composition of the samples was also examined in order to get an accurate result. The findings of this study will lay the foundation for better oil palm grading system. 2006 Research Reports NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/47699/1/47699.pdf ID47699 Janin, Zuriati and Adnan, Nor Aizam (2006) Oil content estimation of oil palm fruit using digital imagery / Zuriati Janin and Nor Aizam Adnan. [Research Reports] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Fuel
Oils, fats, and waxes
spellingShingle Fuel
Oils, fats, and waxes
Janin, Zuriati
Adnan, Nor Aizam
Oil content estimation of oil palm fruit using digital imagery / Zuriati Janin and Nor Aizam Adnan
description Currently, oil palm quality is graded manually. This method has some disadvantages. Firstly, it is an extremely tedious and time-consuming process prone to errors or inconsistencies. It is inaccurate and has a strong bias towards the mill. A new technique is needed in oil palm grading system. The main objective of this research project is to investigate the correlation between recognizable parameters of oil palm fruit such as color, shape and size against the content of the oil palm fruit. This study is confined to only a single species of oil palm fruit called TANERA and samples of this study are based on three kinds of ripeness of fruits which are known as ripe, underripe and overripe. The image of the samples is captured using NIKON micro lens camera which conducted in a room, that had proper lighting technique and with known distance between the camera and the fruit. The analysis is carried out using MATLAB image processing. The chemical composition of the samples was also examined in order to get an accurate result. The findings of this study will lay the foundation for better oil palm grading system.
format Research Reports
author Janin, Zuriati
Adnan, Nor Aizam
author_facet Janin, Zuriati
Adnan, Nor Aizam
author_sort Janin, Zuriati
title Oil content estimation of oil palm fruit using digital imagery / Zuriati Janin and Nor Aizam Adnan
title_short Oil content estimation of oil palm fruit using digital imagery / Zuriati Janin and Nor Aizam Adnan
title_full Oil content estimation of oil palm fruit using digital imagery / Zuriati Janin and Nor Aizam Adnan
title_fullStr Oil content estimation of oil palm fruit using digital imagery / Zuriati Janin and Nor Aizam Adnan
title_full_unstemmed Oil content estimation of oil palm fruit using digital imagery / Zuriati Janin and Nor Aizam Adnan
title_sort oil content estimation of oil palm fruit using digital imagery / zuriati janin and nor aizam adnan
publishDate 2006
url http://ir.uitm.edu.my/id/eprint/47699/1/47699.pdf
http://ir.uitm.edu.my/id/eprint/47699/
_version_ 1703963469461585920
score 13.211869

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