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...

詳細記述

保存先:
書誌詳細
主要な著者: D.N.F, Awang Iskandar, Nuraya, Abdullah, Alvin Wee, Yeo, Shapiee, Abdul Rahman, Ahmad Hadinata, Fauzi, Rubiyah, Baini
フォーマット: Proceeding
言語:English
出版事項: 2013
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/
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!

類似資料