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...
| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Universiti Malaysia Sarawak, (UNIMAS)
2013
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| Online Access: | http://ir.unimas.my/id/eprint/14325/ http://ir.unimas.my/id/eprint/14325/3/Nuraya%20Abdullah%20ft.pdf |
| _version_ | 1848837622761259008 |
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| author | Nuraya, Binti Abdullah. |
| author_facet | Nuraya, Binti Abdullah. |
| author_sort | Nuraya, Binti Abdullah. |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T06:42:35Z |
| format | Thesis |
| id | unimas-14325 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:42:35Z |
| publishDate | 2013 |
| publisher | Universiti Malaysia Sarawak, (UNIMAS) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-143252023-11-14T01:56:18Z http://ir.unimas.my/id/eprint/14325/ Classification of pepper berries samples using machine learning techniques 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 NonPeerReviewed text en http://ir.unimas.my/id/eprint/14325/3/Nuraya%20Abdullah%20ft.pdf Nuraya, Binti Abdullah. (2013) Classification of pepper berries samples using machine learning techniques. Masters thesis, Universiti Malaysia Sarawak, (UNIMAS). |
| spellingShingle | S Agriculture (General) SB Plant culture Nuraya, Binti Abdullah. Classification of pepper berries samples using machine learning techniques |
| title | 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_short | Classification of pepper berries samples using machine learning techniques |
| title_sort | classification of pepper berries samples using machine learning techniques |
| topic | S Agriculture (General) SB Plant culture |
| url | http://ir.unimas.my/id/eprint/14325/ http://ir.unimas.my/id/eprint/14325/3/Nuraya%20Abdullah%20ft.pdf |