| dc.contributor.author | Abdul Hamid, Adom, Prof. Madya | |
| dc.contributor.author | Ali Yeon, Md. Shakaff, Prof. Dr. | |
| dc.contributor.author | Mohd Noor, Ahmad, Prof. Dr. | |
| dc.contributor.author | Abu Hassan, Abdullah | |
| dc.contributor.author | Shah Fenner Khan, Mohamad Khan | |
| dc.contributor.author | R. Badlishah, Ahmad, Dr. | |
| dc.contributor.author | Marni Aniza, Markom | |
| dc.date.accessioned | 2011-03-21T07:36:38Z | |
| dc.date.available | 2011-03-21T07:36:38Z | |
| dc.date.issued | 2007-05-10 | |
| dc.identifier.uri | http://www3.eng.psu.ac.th/pec/5/icee2007/paper/ICEE2007071.pdf | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/11345 | |
| dc.description | Link to publisher's homepage at http://www3.eng.psu.ac.th | en_US |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Prince of Songkla University | en_US |
| dc.relation.ispartofseries | Proceedings of the International Conference on Engineering and Environment (ICEE) 2007 | en_US |
| dc.subject | Electronic nose | en_US |
| dc.subject | Neural networks | en_US |
| dc.subject | Ganoderma | en_US |
| dc.title | Electronic olfactory prototype of an automated malaise detection system for the agricultural industry | en_US |
| dc.type | Working Paper | en_US |
| dc.contributor.url | abdhamid@unimap.edu.my | en_US |
