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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/11345
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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 |
| E-mail: | 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: | Abdul Hamid Adom, Prof. Dr.
R. Badlishah Ahmad, Prof. Dr.
Ali Yeon, Md Shakaff, Prof. Dr.
Conference Papers
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| DOC 1.pdf | Access is limited to UniMAP community | 325.69 kB | Adobe PDF | View/Open |
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