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dc.contributor.authorAbdul Hamid, Adom, Prof. Madya-
dc.contributor.authorAli Yeon, Md. Shakaff, Prof. Dr.-
dc.contributor.authorMohd Noor, Ahmad, Prof. Dr.-
dc.contributor.authorAbu Hassan, Abdullah-
dc.contributor.authorShah Fenner Khan, Mohamad Khan-
dc.contributor.authorR. Badlishah, Ahmad, Dr.-
dc.contributor.authorMarni Aniza, Markom-
dc.date.accessioned2011-03-21T07:36:38Z-
dc.date.available2011-03-21T07:36:38Z-
dc.date.issued2007-05-10-
dc.identifier.urihttp://www3.eng.psu.ac.th/pec/5/icee2007/paper/ICEE2007071.pdf-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/11345-
dc.descriptionLink to publisher's homepage at http://www3.eng.psu.ac.then_US
dc.description.abstractThe 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.isoenen_US
dc.publisherPrince of Songkla Universityen_US
dc.relation.ispartofseriesProceedings of the International Conference on Engineering and Environment (ICEE) 2007en_US
dc.subjectElectronic noseen_US
dc.subjectNeural networksen_US
dc.subjectGanodermaen_US
dc.titleElectronic olfactory prototype of an automated malaise detection system for the agricultural industryen_US
dc.typeWorking Paperen_US
dc.contributor.urlabdhamid@unimap.edu.myen_US
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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