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...

全面介绍

Saved in:
书目详细资料
主要作者: Nuraya, Binti Abdullah.
格式: Thesis
语言:English
出版: 2013
主题:
在线阅读:http://ir.unimas.my/id/eprint/14325/3/Nuraya%20Abdullah%20ft.pdf
标签: 添加标签
没有标签, 成为第一个标记此记录!
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