Classification of piper nigrum samples using machine learning techniques: A comparison
Pepper is a key export of the state of Sarawak (Malaysian Borneo). At present, processed pepper berries are graded manually. This process is time consuming and error prone as it is very much dependent on the experience of the pepper grader. To overcome these weaknesses, we propose an automated Peppe...
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主要な著者: | D.N.F, Awang Iskandar, Nuraya, Abdullah, Alvin Wee, Yeo, Shapiee, Abdul Rahman, Ahmad Hadinata, Fauzi, Rubiyah, Baini |
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フォーマット: | Proceeding |
言語: | English |
出版事項: |
2013
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主題: | |
オンライン・アクセス: | http://ir.unimas.my/id/eprint/16511/1/Classification%20of%20piper%20nigrum%20samples%20using%20machine%20learning%20techniques%20%28abstrak%29.pdf http://ir.unimas.my/id/eprint/16511/ |
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