Palm oil classification using RGB and fuzzy

This research is about to classification palm oil by using RGB and Fuzzy. As we know the current practice in the oil palm is to grade the oil palm bunches manually using human graders for separate which one for producing oil or others effectiveness. This method is subjective and subject to disputes....

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Main Author:	Khairun Nor Aimi, Ghazali
Format:	Undergraduates Project Papers
Language:	English
Published:	2010
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/1986/ http://umpir.ump.edu.my/id/eprint/1986/1/Khairun_Nor_Aimi_Ghazali_%28_CD_5384_%29.pdf

id	ump-1986
recordtype	eprints
spelling	ump-19862015-03-03T07:53:57Z http://umpir.ump.edu.my/id/eprint/1986/ Palm oil classification using RGB and fuzzy Khairun Nor Aimi, Ghazali TA Engineering (General). Civil engineering (General) This research is about to classification palm oil by using RGB and Fuzzy. As we know the current practice in the oil palm is to grade the oil palm bunches manually using human graders for separate which one for producing oil or others effectiveness. This method is subjective and subject to disputes. In this case, we developed systems by using image processing technique RGB as a preprocessing and fuzzy logic as classifier. The RGB color technique is utilized as the extracted features for the oil palm fruit rind. Further, the extracted feature is classified using fuzzy logic system to determine the ripeness level of the oil palm fruit. The system has been design to act like human eye and brain by process the fruit images and made a decision based on selected category. The result shows that it was successful discriminate the fruit bunches with accuracy False Rejection Rate (FRR) about 10% and False Acceptance Rate 0% for ripe categories, 20% and 0% False Rejection Rate (FRR) and 0% for False Acceptance Rate (FAR) for under ripe and unripe categories. 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1986/1/Khairun_Nor_Aimi_Ghazali_%28_CD_5384_%29.pdf Khairun Nor Aimi, Ghazali (2010) Palm oil classification using RGB and fuzzy. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Khairun Nor Aimi, Ghazali Palm oil classification using RGB and fuzzy
description	This research is about to classification palm oil by using RGB and Fuzzy. As we know the current practice in the oil palm is to grade the oil palm bunches manually using human graders for separate which one for producing oil or others effectiveness. This method is subjective and subject to disputes. In this case, we developed systems by using image processing technique RGB as a preprocessing and fuzzy logic as classifier. The RGB color technique is utilized as the extracted features for the oil palm fruit rind. Further, the extracted feature is classified using fuzzy logic system to determine the ripeness level of the oil palm fruit. The system has been design to act like human eye and brain by process the fruit images and made a decision based on selected category. The result shows that it was successful discriminate the fruit bunches with accuracy False Rejection Rate (FRR) about 10% and False Acceptance Rate 0% for ripe categories, 20% and 0% False Rejection Rate (FRR) and 0% for False Acceptance Rate (FAR) for under ripe and unripe categories.
format	Undergraduates Project Papers
author	Khairun Nor Aimi, Ghazali
author_facet	Khairun Nor Aimi, Ghazali
author_sort	Khairun Nor Aimi, Ghazali
title	Palm oil classification using RGB and fuzzy
title_short	Palm oil classification using RGB and fuzzy
title_full	Palm oil classification using RGB and fuzzy
title_fullStr	Palm oil classification using RGB and fuzzy
title_full_unstemmed	Palm oil classification using RGB and fuzzy
title_sort	palm oil classification using rgb and fuzzy
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/1986/ http://umpir.ump.edu.my/id/eprint/1986/1/Khairun_Nor_Aimi_Ghazali_%28_CD_5384_%29.pdf
first_indexed	2023-09-18T21:55:24Z
last_indexed	2023-09-18T21:55:24Z
_version_	1777414045603725312

Palm oil classification using RGB and fuzzy

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