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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 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://dspace.unimap.edu.my/123456789/11345 |
Appears in Collections: | Conference Papers Ali Yeon Md Shakaff, Dato' Prof. Dr. R. Badlishah Ahmad, Prof. Ir. Ts. Dr. Abdul Hamid Adom, Prof. Dr. Mohd Noor Ahmad, Prof. Dr. Shah Fenner Khan Mohamad Khan, Dr. |
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DOC 1.pdf | Access is limited to UniMAP community | 325.69 kB | Adobe PDF | View/Open |
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