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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/11345

Title: Electronic olfactory prototype of an automated malaise detection system for the agricultural industry
Authors: Abdul Hamid, Adom, Prof. Madya
Ali Yeon, Md. Shakaff, Prof. Dr.
Mohd Noor, Ahmad, Prof. Dr.
Abu Hassan, Abdullah
Shah Fenner Khan, Mohamad Khan
R. Badlishah, Ahmad, Dr.
Marni Aniza, Markom
???metadata.dc.contributor.url???: abdhamid@unimap.edu.my
Keywords: Electronic nose;Neural networks;Ganoderma
Issue Date: 10-May-2007
Publisher: Prince of Songkla University
Series/Report no.: Proceedings of the International Conference on Engineering and Environment (ICEE) 2007
Abstract: The development of artificial olfactory systems, or electronic nose, for various applications has been on the rise due to their apparent benefits. The development and integration of electronic nose with other systems, such as mobile platform, increases its versatility and functionality. Proposed is a prototype of an electronic nose to be integrated with a mobile platform to perform as an automated malaise detection system in plantations. The electronic nose prototype were developed using off-the-shelf Figaro MOS sensors and Hitachi microcontroller, as well as rapid prototyping methods. Initial results show that the electronic nose is able to achieve 100% accuracy.
Description: Link to publisher's homepage at http://www3.eng.psu.ac.th
URI: http://www3.eng.psu.ac.th/pec/5/icee2007/paper/ICEE2007071.pdf
http://hdl.handle.net/123456789/11345
Appears in Collections:Mohd Noor, Ahmad, Prof. Dr.
Shah Fenner Khan Mohamad Khan
Conference Papers
Ali Yeon, Md Shakaff, Prof. Dr.
R. Badlishah Ahmad, Prof. Dr.
Abdul Hamid Adom, Prof. Dr.

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