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Electronic olfactory prototype of an automated malaise detection system for the agricultural industry

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Main 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
Other Authors: abdhamid@unimap.edu.my
Format: Working Paper
Language:English
Published: Prince of Songkla University 2011
Subjects:
Electronic nose
Neural networks
Ganoderma
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/11345
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spelling my.unimap-113452011-03-21T07:36:39Z Electronic olfactory prototype of an automated malaise detection system for the agricultural industry 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 Electronic nose Neural networks Ganoderma Link to publisher's homepage at http://www3.eng.psu.ac.th 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. 2011-03-21T07:36:38Z 2011-03-21T07:36:38Z 2007-05-10 Working Paper http://www3.eng.psu.ac.th/pec/5/icee2007/paper/ICEE2007071.pdf http://hdl.handle.net/123456789/11345 en Proceedings of the International Conference on Engineering and Environment (ICEE) 2007 Prince of Songkla University
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Electronic nose
Neural networks
Ganoderma
spellingShingle Electronic nose
Neural networks
Ganoderma
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
Electronic olfactory prototype of an automated malaise detection system for the agricultural industry
description Link to publisher's homepage at http://www3.eng.psu.ac.th
author2 abdhamid@unimap.edu.my
author_facet abdhamid@unimap.edu.my
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
format Working Paper
author 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
author_sort Abdul Hamid, Adom, Prof. Madya
title Electronic olfactory prototype of an automated malaise detection system for the agricultural industry
title_short Electronic olfactory prototype of an automated malaise detection system for the agricultural industry
title_full Electronic olfactory prototype of an automated malaise detection system for the agricultural industry
title_fullStr Electronic olfactory prototype of an automated malaise detection system for the agricultural industry
title_full_unstemmed Electronic olfactory prototype of an automated malaise detection system for the agricultural industry
title_sort electronic olfactory prototype of an automated malaise detection system for the agricultural industry
publisher Prince of Songkla University
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/11345
_version_ 1643790137696452608
score 13.222552

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