Automated grading of oil palm fruit / Khairul Anwar Mohd

Automation not only optimizes quality assurance but more importantly, it helps remove human subjectivity and inconsistency. As it is defined as the process of following a predetermined sequence of operations with little or no human intervention by using specialized equipment and devices that control...

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Main Author:	Mohd, Khairul Anwar
Format:	Thesis
Language:	English
Published:	2009
Subjects:	Machine design and drawing
Online Access:	https://ir.uitm.edu.my/id/eprint/38789/1/38789.pdf
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id	my-uitm-ir.38789
record_format	uketd_dc
spelling	my-uitm-ir.387892020-12-07T23:12:12Z Automated grading of oil palm fruit / Khairul Anwar Mohd 2009-11 Mohd, Khairul Anwar Machine design and drawing Automation not only optimizes quality assurance but more importantly, it helps remove human subjectivity and inconsistency. As it is defined as the process of following a predetermined sequence of operations with little or no human intervention by using specialized equipment and devices that control and perform the manufacturing process, it also increase the productivity and changes the character of factory or farm workers, making it less arduous and more attractive. Considering the fact that the productivity of man working in mechanized and automated environments is approximately ten times more than of manual workers, this have stimulated progress in the development of many novel sensors and instruments for the food and agricultural industry, often by technology transfer from other industrial sectors, including medical and non-clinical sectors (Kress-Rogers, 1986). This thesis will discuss about the new method for automated grading system of oil palm fruits that will be used at palm oil mills. The purpose of this project is to create a new automated grading system as a replacement for the current manual grading system, which is still being used at the mills. At present, they are using human as a grader in order to perform the grading job. The new grading system will implement a laser sensor (LS) as a measuring device to measure the degree of ripeness of the fruit. The most critical process is to categorize the fruit into ripe, under ripe, and unripe. To achieve that result, new experiments need to be develop. Then, result from that experiment will be analyzed. The experiment will be done on three species of oil palm fruits, which are Dura, Psifera and Tenera. Finally, by introducing the new grading system, hopefully it will increase the productivity and quality of our palm oil industry and at the same time to keep away from dispute between the graders and the sellers. 2009-11 Thesis https://ir.uitm.edu.my/id/eprint/38789/ https://ir.uitm.edu.my/id/eprint/38789/1/38789.pdf text en public degree Universiti Teknologi MARA Faculty of Mechanical Engineering Ayub, Muhammad Azmi (Assoc. Prof. Dr.)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ayub, Muhammad Azmi (Assoc. Prof. Dr.)
topic	Machine design and drawing
spellingShingle	Machine design and drawing Mohd, Khairul Anwar Automated grading of oil palm fruit / Khairul Anwar Mohd
description	Automation not only optimizes quality assurance but more importantly, it helps remove human subjectivity and inconsistency. As it is defined as the process of following a predetermined sequence of operations with little or no human intervention by using specialized equipment and devices that control and perform the manufacturing process, it also increase the productivity and changes the character of factory or farm workers, making it less arduous and more attractive. Considering the fact that the productivity of man working in mechanized and automated environments is approximately ten times more than of manual workers, this have stimulated progress in the development of many novel sensors and instruments for the food and agricultural industry, often by technology transfer from other industrial sectors, including medical and non-clinical sectors (Kress-Rogers, 1986). This thesis will discuss about the new method for automated grading system of oil palm fruits that will be used at palm oil mills. The purpose of this project is to create a new automated grading system as a replacement for the current manual grading system, which is still being used at the mills. At present, they are using human as a grader in order to perform the grading job. The new grading system will implement a laser sensor (LS) as a measuring device to measure the degree of ripeness of the fruit. The most critical process is to categorize the fruit into ripe, under ripe, and unripe. To achieve that result, new experiments need to be develop. Then, result from that experiment will be analyzed. The experiment will be done on three species of oil palm fruits, which are Dura, Psifera and Tenera. Finally, by introducing the new grading system, hopefully it will increase the productivity and quality of our palm oil industry and at the same time to keep away from dispute between the graders and the sellers.
format	Thesis
qualification_level	Bachelor degree
author	Mohd, Khairul Anwar
author_facet	Mohd, Khairul Anwar
author_sort	Mohd, Khairul Anwar
title	Automated grading of oil palm fruit / Khairul Anwar Mohd
title_short	Automated grading of oil palm fruit / Khairul Anwar Mohd
title_full	Automated grading of oil palm fruit / Khairul Anwar Mohd
title_fullStr	Automated grading of oil palm fruit / Khairul Anwar Mohd
title_full_unstemmed	Automated grading of oil palm fruit / Khairul Anwar Mohd
title_sort	automated grading of oil palm fruit / khairul anwar mohd
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Mechanical Engineering
publishDate	2009
url	https://ir.uitm.edu.my/id/eprint/38789/1/38789.pdf
_version_	1783734483871072256

Automated grading of oil palm fruit / Khairul Anwar Mohd

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