Classification of pepper berries samples using machine learning techniques

Sarawak pepper poduct is one of a key export of Saawak. Sarawak pepper has been registered as Geographical Indicator (GI) since 4th November 2003 and has obtained high reputation for its quality. Presently, processed pepper beries are graded manually whereby it is time consuming and depend on the ex...

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Bibliographic Details
Main Author:	Nuraya, Binti Abdullah.
Format:	Thesis
Language:	English
Published:	2013
Subjects:	S Agriculture (General) SB Plant culture
Online Access:	http://ir.unimas.my/id/eprint/14325/3/Nuraya%20Abdullah%20ft.pdf
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id	my-unimas-ir.14325
record_format	uketd_dc
spelling	my-unimas-ir.143252023-11-14T01:56:18Z Classification of pepper berries samples using machine learning techniques 2013 Nuraya, Binti Abdullah. S Agriculture (General) SB Plant culture Sarawak pepper poduct is one of a key export of Saawak. Sarawak pepper has been registered as Geographical Indicator (GI) since 4th November 2003 and has obtained high reputation for its quality. Presently, processed pepper beries are graded manually whereby it is time consuming and depend on the experience of the human trained operator. Universiti Malaysia Sarawak, (UNIMAS) 2013 Thesis http://ir.unimas.my/id/eprint/14325/ http://ir.unimas.my/id/eprint/14325/3/Nuraya%20Abdullah%20ft.pdf text en validuser masters Universiti Malaysia Sarawak, (UNIMAS) Faculty of Resource Science and Technology
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	S Agriculture (General) SB Plant culture
spellingShingle	S Agriculture (General) SB Plant culture Nuraya, Binti Abdullah. Classification of pepper berries samples using machine learning techniques
description	Sarawak pepper poduct is one of a key export of Saawak. Sarawak pepper has been registered as Geographical Indicator (GI) since 4th November 2003 and has obtained high reputation for its quality. Presently, processed pepper beries are graded manually whereby it is time consuming and depend on the experience of the human trained operator.
format	Thesis
qualification_level	Master's degree
author	Nuraya, Binti Abdullah.
author_facet	Nuraya, Binti Abdullah.
author_sort	Nuraya, Binti Abdullah.
title	Classification of pepper berries samples using machine learning techniques
title_short	Classification of pepper berries samples using machine learning techniques
title_full	Classification of pepper berries samples using machine learning techniques
title_fullStr	Classification of pepper berries samples using machine learning techniques
title_full_unstemmed	Classification of pepper berries samples using machine learning techniques
title_sort	classification of pepper berries samples using machine learning techniques
granting_institution	Universiti Malaysia Sarawak, (UNIMAS)
granting_department	Faculty of Resource Science and Technology
publishDate	2013
url	http://ir.unimas.my/id/eprint/14325/3/Nuraya%20Abdullah%20ft.pdf
_version_	1783728157618077696

Classification of pepper berries samples using machine learning techniques

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