Mujahid, Mohamad and Muhammad Sharfi, Najib and Suhaimi, Mohd Daud and Nurdiyana, Zahed and Muhamad Faruqi, Zahari and Nur Farina, Hamidon Majid and Suziyanti, Zaib and Hadi, Manap (2020) Classification of agarwood types (malaccensis and crassna) between oil and smoke using E-nose with CBR classifier. In: Lecture Notes in Electrical Engineering; 5th International Conference on Electrical, Control and Computer Engineering, InECCE 2019 , 29 - 30 July 2019 , Swiss Garden Beach Resort, Kuantan. 231 -243., 632. ISSN 1876-1100 ISBN 9789811523168
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Abstract
The issue of quality of agarwood quality among sellers and buyers is still ongoing due to manual olfactory methods. This study purpose classification of Malaccensis and Crassna agarwood in oil and smoke by electronic nose using Case-based Reasoning classifier. The CBR performance measurement shows that classification of agarwood Malaccensis and Crassna for both oil and smoke using CBR technique can achieve 100% classification success.
Item Type: | Conference or Workshop Item (Lecture) |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | E-nose; CBR; Agarwood; Malaccensis; Crassna; Intelligent classification |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology Faculty of Manufacturing and Mechatronic Engineering Technology |
Depositing User: | Mrs Norsaini Abdul Samat |
Date Deposited: | 08 Dec 2021 02:29 |
Last Modified: | 08 Dec 2021 02:29 |
URI: | http://umpir.ump.edu.my/id/eprint/32774 |
Download Statistic: | View Download Statistics |
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