Automated fruit grading of fresh fruit bunches (FFB) and determination stalk size based on color / Nurul Hanis Ibrahim

This research is focus on the determination of palm oil stalk's size to determine long stalk bunch category. Images from samples of oil palm Fresh Fruit Bunches (FFBs) were acquired using a camera in the actual estate environment. Image processing and analysis of the samples were carried out. R...

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Bibliographic Details
Main Author:	Ibrahim, Nurul Hanis
Format:	Thesis
Language:	English
Published:	2008
Online Access:	https://ir.uitm.edu.my/id/eprint/87220/1/87220.pdf
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id	my-uitm-ir.87220
record_format	uketd_dc
spelling	my-uitm-ir.872202024-02-19T01:48:25Z Automated fruit grading of fresh fruit bunches (FFB) and determination stalk size based on color / Nurul Hanis Ibrahim 2008 Ibrahim, Nurul Hanis This research is focus on the determination of palm oil stalk's size to determine long stalk bunch category. Images from samples of oil palm Fresh Fruit Bunches (FFBs) were acquired using a camera in the actual estate environment. Image processing and analysis of the samples were carried out. Region growing method is used to determine stalk region based on color. Measurements of the stalk color were carried out by the RGB analysis. The grading process was carried out by using computerized system to replace manual system grading in the palm oil industry. The grading is based on long stalk bunch category to determine the penalty of fruits. The result shows that this automated fruit grading system can identify the long stalk bunch category with the performance of more than 70 %. This research reveals that this project can be implemented in palm oil industry with some improvement in the future for production of accurate result and less time consumed in grading process. 2008 Thesis https://ir.uitm.edu.my/id/eprint/87220/ https://ir.uitm.edu.my/id/eprint/87220/1/87220.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Jamil, Nursuriati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jamil, Nursuriati
description	This research is focus on the determination of palm oil stalk's size to determine long stalk bunch category. Images from samples of oil palm Fresh Fruit Bunches (FFBs) were acquired using a camera in the actual estate environment. Image processing and analysis of the samples were carried out. Region growing method is used to determine stalk region based on color. Measurements of the stalk color were carried out by the RGB analysis. The grading process was carried out by using computerized system to replace manual system grading in the palm oil industry. The grading is based on long stalk bunch category to determine the penalty of fruits. The result shows that this automated fruit grading system can identify the long stalk bunch category with the performance of more than 70 %. This research reveals that this project can be implemented in palm oil industry with some improvement in the future for production of accurate result and less time consumed in grading process.
format	Thesis
qualification_level	Bachelor degree
author	Ibrahim, Nurul Hanis
spellingShingle	Ibrahim, Nurul Hanis Automated fruit grading of fresh fruit bunches (FFB) and determination stalk size based on color / Nurul Hanis Ibrahim
author_facet	Ibrahim, Nurul Hanis
author_sort	Ibrahim, Nurul Hanis
title	Automated fruit grading of fresh fruit bunches (FFB) and determination stalk size based on color / Nurul Hanis Ibrahim
title_short	Automated fruit grading of fresh fruit bunches (FFB) and determination stalk size based on color / Nurul Hanis Ibrahim
title_full	Automated fruit grading of fresh fruit bunches (FFB) and determination stalk size based on color / Nurul Hanis Ibrahim
title_fullStr	Automated fruit grading of fresh fruit bunches (FFB) and determination stalk size based on color / Nurul Hanis Ibrahim
title_full_unstemmed	Automated fruit grading of fresh fruit bunches (FFB) and determination stalk size based on color / Nurul Hanis Ibrahim
title_sort	automated fruit grading of fresh fruit bunches (ffb) and determination stalk size based on color / nurul hanis ibrahim
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2008
url	https://ir.uitm.edu.my/id/eprint/87220/1/87220.pdf
_version_	1794192120459821056

Automated fruit grading of fresh fruit bunches (FFB) and determination stalk size based on color / Nurul Hanis Ibrahim

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