Gaharu Sensor: Classification using Case Based Reasoning (CBR)

Muhamad Faruqi, Zahari and M. S., Najib and Kamarul Hawari, Ghazali and Fathimah, Abdul Halim and Saiful Nizam, Tajuddin and Erny Haslina, Abd Latib (2016) Gaharu Sensor: Classification using Case Based Reasoning (CBR). Journal of Electrical, Electronics, Control and Instrumentations Engineering (JEECIE), 1 (8). pp. 38-41. ISSN 2462-2303. (Published)

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Abstract

Agriculture was an important industry, which has an economic impact of trading goods for others application such as perfume, aromatherapy and others. Agar wood one of high value products that give economic impact for several of the countries which price of agar wood to its certain grade. The grades were manipulated by traders to get higher price using lower grade. This paper proposed the intelligence classification technique using an Electronic Nose (E-nose) measurement. The sensor array in the E - nose are used for the inputs of the Case Based Reasoning (CBR) for intelligent classification. The experimental result shows that the technique accomplished to classify with high accuracy which is 96.3% nearly to 100% of accuracy.

Item Type:	Article
Additional Information:	Colloquium on Robotics, Unmanned Systems and Cybernetics 2014 (CRUSC), Universiti Malaysia Pahang, 20 November 2014
Uncontrolled Keywords:	Agar wood, Gaharu, E-nose, Classification, CBR
Subjects:	Q Science > Q Science (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering Faculty of Industrial Sciences And Technology
Depositing User:	Mr. Mohd Fakhrurrazi Adnan
Date Deposited:	13 Apr 2016 07:46
Last Modified:	21 Feb 2018 05:05
URI:	http://umpir.ump.edu.my/id/eprint/9783
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