AUTOMATED OIL PALM FRIDT GRADING USING ARTIFICIAL INTELLIGENCE
This project deals with the grading of oil palm fruit based on ripeness of oil palm fruit. The current procedure in the palm oil mills is graded manual by human graders. The result from manual grading are very subjective and inconsistent as it varies and depends on techniques and experience of ea...
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Universiti Teknologi Petronas
2011
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my-utp-utpedia.68922017-01-25T09:42:01Z http://utpedia.utp.edu.my/6892/ AUTOMATED OIL PALM FRIDT GRADING USING ARTIFICIAL INTELLIGENCE AMARAN, MUHAMMAD HANIF TK Electrical engineering. Electronics Nuclear engineering This project deals with the grading of oil palm fruit based on ripeness of oil palm fruit. The current procedure in the palm oil mills is graded manual by human graders. The result from manual grading are very subjective and inconsistent as it varies and depends on techniques and experience of each human graders. Hence, it affects the quality and quantity of the oil that can be extracted. In this project, a new model of automated grading system for oil palm fruit is developed using the RGB color model and artificial fuzzy logic. The purpose of this grading system is to distinguish between the three different classes of oil palm fruit which are underripe, ripe and overripe. The ripeness or color ripening index was based on different color intensity. The grading system uses a computer and a CCD camera to analyze and interpret images correspondent to human eye and mind. The computer program is developed for the image processing part like the segmentation of colors, the calculation of the mean color intensity based on RGB color model and the decision making process using fuzzy logic to train the data and make the classification for the oil palm fruit. The program developed has been able to distinguish the three different classes of oil palm fruit automatically with 86.67% of overall efficiency. This project provides a very good technique to standardize the oil palm fruit grading system over a large area and the research will continue to normalize the system to be able to use under different source of lighting. Universiti Teknologi Petronas 2011-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/6892/1/2011%20-%20Automated%20oil%20palm%20fruit%20grading%20system%20using%20artificiqal%20intelligence.pdf AMARAN, MUHAMMAD HANIF (2011) AUTOMATED OIL PALM FRIDT GRADING USING ARTIFICIAL INTELLIGENCE. Universiti Teknologi Petronas. (Unpublished) |
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This project deals with the grading of oil palm fruit based on ripeness of oil palm
fruit. The current procedure in the palm oil mills is graded manual by human
graders. The result from manual grading are very subjective and inconsistent as it
varies and depends on techniques and experience of each human graders. Hence,
it affects the quality and quantity of the oil that can be extracted. In this project, a
new model of automated grading system for oil palm fruit is developed using the
RGB color model and artificial fuzzy logic. The purpose of this grading system is
to distinguish between the three different classes of oil palm fruit which are
underripe, ripe and overripe. The ripeness or color ripening index was based on
different color intensity. The grading system uses a computer and a CCD camera
to analyze and interpret images correspondent to human eye and mind. The
computer program is developed for the image processing part like the
segmentation of colors, the calculation of the mean color intensity based on RGB
color model and the decision making process using fuzzy logic to train the data
and make the classification for the oil palm fruit. The program developed has been
able to distinguish the three different classes of oil palm fruit automatically with
86.67% of overall efficiency. This project provides a very good technique to
standardize the oil palm fruit grading system over a large area and the research
will continue to normalize the system to be able to use under different source of
lighting. |
format |
Final Year Project |
author |
AMARAN, MUHAMMAD HANIF |
author_facet |
AMARAN, MUHAMMAD HANIF |
author_sort |
AMARAN, MUHAMMAD HANIF |
title |
AUTOMATED OIL PALM FRIDT GRADING USING
ARTIFICIAL INTELLIGENCE |
title_short |
AUTOMATED OIL PALM FRIDT GRADING USING
ARTIFICIAL INTELLIGENCE |
title_full |
AUTOMATED OIL PALM FRIDT GRADING USING
ARTIFICIAL INTELLIGENCE |
title_fullStr |
AUTOMATED OIL PALM FRIDT GRADING USING
ARTIFICIAL INTELLIGENCE |
title_full_unstemmed |
AUTOMATED OIL PALM FRIDT GRADING USING
ARTIFICIAL INTELLIGENCE |
title_sort |
automated oil palm fridt grading using
artificial intelligence |
publisher |
Universiti Teknologi Petronas |
publishDate |
2011 |
url |
http://utpedia.utp.edu.my/6892/1/2011%20-%20Automated%20oil%20palm%20fruit%20grading%20system%20using%20artificiqal%20intelligence.pdf http://utpedia.utp.edu.my/6892/ |
_version_ |
1739831398549684224 |
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13.160551 |