Electronic nose for odour identification

Electronic nose comprising an array of 7 sensors circuitry and data processing software are used to identify different kinds of odors of fruits. The fruit to be identified is sensed by sensing system comprising of chemical gas sensors. The captured sensor readings are sent to personal computer fo...

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Bibliographic Details
Main Author:	Min Thu Ya Ko Ko.
Other Authors:	Mao Kezhi
Format:	Final Year Project
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
Online Access:	http://hdl.handle.net/10356/17156
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-17156
record_format	dspace
spelling	sg-ntu-dr.10356-171562023-07-07T16:12:03Z Electronic nose for odour identification Min Thu Ya Ko Ko. Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics Electronic nose comprising an array of 7 sensors circuitry and data processing software are used to identify different kinds of odors of fruits. The fruit to be identified is sensed by sensing system comprising of chemical gas sensors. The captured sensor readings are sent to personal computer for data processing. MatLab programming language and Probabilistic Neural Network is used to identify the odor of the fruit. A user friendly GUI generated using MatLab will display the result. Electronic is able to identify six different types of fruits: lemon, banana, orange, grapes, tomato and apple. Bachelor of Engineering 2009-06-01T03:25:12Z 2009-06-01T03:25:12Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17156 en Nanyang Technological University 91 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Applications of electronics Min Thu Ya Ko Ko. Electronic nose for odour identification
description	Electronic nose comprising an array of 7 sensors circuitry and data processing software are used to identify different kinds of odors of fruits. The fruit to be identified is sensed by sensing system comprising of chemical gas sensors. The captured sensor readings are sent to personal computer for data processing. MatLab programming language and Probabilistic Neural Network is used to identify the odor of the fruit. A user friendly GUI generated using MatLab will display the result. Electronic is able to identify six different types of fruits: lemon, banana, orange, grapes, tomato and apple.
author2	Mao Kezhi
author_facet	Mao Kezhi Min Thu Ya Ko Ko.
format	Final Year Project
author	Min Thu Ya Ko Ko.
author_sort	Min Thu Ya Ko Ko.
title	Electronic nose for odour identification
title_short	Electronic nose for odour identification
title_full	Electronic nose for odour identification
title_fullStr	Electronic nose for odour identification
title_full_unstemmed	Electronic nose for odour identification
title_sort	electronic nose for odour identification
publishDate	2009
url	http://hdl.handle.net/10356/17156
_version_	1772825150686756864

Electronic nose for odour identification

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