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:
Online Access:http://umpir.ump.edu.my/id/eprint/1986/1/Palm%20oil%20classification%20using%20RGB%20and%20fuzzy.pdf
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author Khairun Nor Aimi, Ghazali
author_facet Khairun Nor Aimi, Ghazali
author_sort Khairun Nor Aimi, Ghazali
collection UMP
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.
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spelling UMPir19862023-10-25T03:55:11Z 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 pdf en http://umpir.ump.edu.my/id/eprint/1986/1/Palm%20oil%20classification%20using%20RGB%20and%20fuzzy.pdf Khairun Nor Aimi, Ghazali (2010) Palm oil classification using RGB and fuzzy. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang.
spellingShingle TA Engineering (General). Civil engineering (General)
Khairun Nor Aimi, Ghazali
Palm oil classification using RGB and fuzzy
title 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_short Palm oil classification using RGB and fuzzy
title_sort palm oil classification using rgb and fuzzy
topic TA Engineering (General). Civil engineering (General)
url http://umpir.ump.edu.my/id/eprint/1986/1/Palm%20oil%20classification%20using%20RGB%20and%20fuzzy.pdf
work_keys_str_mv AT khairunnoraimighazali palmoilclassificationusingrgbandfuzzy