Development of portable, application specific electronic nose for agriculture

Research groups around the world are working to develop electronic nose systems that are able mimicking the functions and operations of the human nose. The instrument is used to identify and classify different types of odour or smell. The instrument will complement the existing odour assessment te...

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Main Author: Abu Hassan, Abdullah
Format: Thesis
Language:English
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Online Access:http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/42984/1/P.1-24.pdf
http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/42984/2/Full%20Text.pdf
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spelling my-unimap-429842016-09-22T03:19:14Z Development of portable, application specific electronic nose for agriculture Abu Hassan, Abdullah Prof. Dr. Abdul Hamid Adom Research groups around the world are working to develop electronic nose systems that are able mimicking the functions and operations of the human nose. The instrument is used to identify and classify different types of odour or smell. The instrument will complement the existing odour assessment techniques; human sensory panels and Gas Chromatography Mass Spectrum (GC-MS) analysis which require long training time and detailed operating procedures. However most of the generic instruments are of laboratories type which are costly and may not operate efficiently for every possible application. The instruments’ broad non-specific sensor arrays’ will limit the detection capabilities. The existing portable instruments in the market are still lacking in reliability, data processing capabilities and quite costly. Therefore, the purpose of this research is to develop a portable Application Specific Electronic Nose (ASEN) to improve their capabilities. The developed instrument uses specific selected sensor arrays which were identified based on experiment and key volatile compounds of the target odorant. Humidity and temperature sensor are also being included in the instrument to measure the environmental condition. The instrument utilises multivariate statistical analysis (PCA, LDA and KNN) and Artificial Neural Network (ANN) as well as an embedded ANN classification algorithm for the data processing. This will increase the instrument’s capability while the portability will minimise the size, cost and operational complexity. A commercial instrument (Cyranose C320 from Smith Detection) is used to evaluate the performance of the instrument. The instrument was successfully developed, tested and calibrated odour samples with variable concentrations. The instrument provides a feasible alternative for non-destructive testing system for the odour samples. The results revealed that the developed instrument is able to identify, discriminate and classify the odour samples with an acceptable percentage of accuracy. This will contribute significantly to acquiring a new and alternative method of using the instrument for agriculture applications i.e., plant disease detection, food quality assurance and poultry farm malodour monitoring. The future works include the development of specific sensors for the application and simplified the training process i.e., performs on-line ANN training by the instrument itself. Universiti Malaysia Perlis (UniMAP) 2014 Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/42984 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/42984/1/P.1-24.pdf f794a33d0acc80e9836bd1b48304f5e9 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/42984/2/Full%20Text.pdf 81f893cd38ad4950e1586b11adcb349c http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/42984/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 Electronic nose Agriculture uses Electronic Nose System Odour Sensor School of Mechatronic Engineering
institution Universiti Malaysia Perlis
collection UniMAP Institutional Repository
language English
advisor Prof. Dr. Abdul Hamid Adom
topic Electronic nose
Agriculture uses
Electronic Nose System
Odour
Sensor
spellingShingle Electronic nose
Agriculture uses
Electronic Nose System
Odour
Sensor
Abu Hassan, Abdullah
Development of portable, application specific electronic nose for agriculture
description Research groups around the world are working to develop electronic nose systems that are able mimicking the functions and operations of the human nose. The instrument is used to identify and classify different types of odour or smell. The instrument will complement the existing odour assessment techniques; human sensory panels and Gas Chromatography Mass Spectrum (GC-MS) analysis which require long training time and detailed operating procedures. However most of the generic instruments are of laboratories type which are costly and may not operate efficiently for every possible application. The instruments’ broad non-specific sensor arrays’ will limit the detection capabilities. The existing portable instruments in the market are still lacking in reliability, data processing capabilities and quite costly. Therefore, the purpose of this research is to develop a portable Application Specific Electronic Nose (ASEN) to improve their capabilities. The developed instrument uses specific selected sensor arrays which were identified based on experiment and key volatile compounds of the target odorant. Humidity and temperature sensor are also being included in the instrument to measure the environmental condition. The instrument utilises multivariate statistical analysis (PCA, LDA and KNN) and Artificial Neural Network (ANN) as well as an embedded ANN classification algorithm for the data processing. This will increase the instrument’s capability while the portability will minimise the size, cost and operational complexity. A commercial instrument (Cyranose C320 from Smith Detection) is used to evaluate the performance of the instrument. The instrument was successfully developed, tested and calibrated odour samples with variable concentrations. The instrument provides a feasible alternative for non-destructive testing system for the odour samples. The results revealed that the developed instrument is able to identify, discriminate and classify the odour samples with an acceptable percentage of accuracy. This will contribute significantly to acquiring a new and alternative method of using the instrument for agriculture applications i.e., plant disease detection, food quality assurance and poultry farm malodour monitoring. The future works include the development of specific sensors for the application and simplified the training process i.e., performs on-line ANN training by the instrument itself.
format Thesis
author Abu Hassan, Abdullah
author_facet Abu Hassan, Abdullah
author_sort Abu Hassan, Abdullah
title Development of portable, application specific electronic nose for agriculture
title_short Development of portable, application specific electronic nose for agriculture
title_full Development of portable, application specific electronic nose for agriculture
title_fullStr Development of portable, application specific electronic nose for agriculture
title_full_unstemmed Development of portable, application specific electronic nose for agriculture
title_sort development of portable, application specific electronic nose for agriculture
granting_institution Universiti Malaysia Perlis (UniMAP)
granting_department School of Mechatronic Engineering
url http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/42984/1/P.1-24.pdf
http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/42984/2/Full%20Text.pdf
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