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The analysis of plant’s organic volatiles compounds with electronic nose and pattern recognition techniques
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Ghaffari, Reza, Zhang, Fu, Ph.D., Iliescu, Daciana, Hines, Evor L., Leeson, Mark S. and Napier, Richard M. (2011) The analysis of plant’s organic volatiles compounds with electronic nose and pattern recognition techniques. In: Qahwaji, Rami and Green, Roger J. and Hines, Evor L., (eds.) Applied Signal and Image Processing: Multidisciplinary Advancements. Hershey, PA, U.S.A: IGI Global, pp. 115-126. ISBN 978-1-6096-0477-6
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Official URL: http://dx.doi.org/10.4018/978-1-60960-477-6.ch007
Abstract
In this chapter, the authors introduce the principles of some of the most widely used supervised and unsupervised Pattern Recognition (PR) techniques and assess behaviour and performances. A dataset acquired from a set of experiments conducted at University of Warwick is employed to construct a case study in which the techniques will be applied. The chapter will also evaluate the integration of PR methods with an Electronic Nose (EN) device to develop and implement a plant diagnosis tool based on discriminating the Organic Volatile Compounds (VOC) released by plants when attacked by pest. The chapter concludes with a performance comparison and a brief discussion of how an appropriate PR technique can be coupled with an EN to produce a greenhouse plant pest and disease diagnosis system for day-to-day utilisation. Some consideration of further work is also presented.
| Item Type: | Book Item |
|---|---|
| Subjects: | Q Science > Q Science (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Science > Engineering Faculty of Science > Life Sciences (2010- ) |
| Publisher: | IGI Global |
| Place of Publication: | Hershey, PA, U.S.A |
| ISBN: | 978-1-6096-0477-6 |
| Book Title: | Applied Signal and Image Processing: Multidisciplinary Advancements |
| Editor: | Qahwaji, Rami and Green, Roger J. and Hines, Evor L. |
| Date: | 15 May 2011 |
| Number of Pages: | 12 |
| Page Range: | pp. 115-126 |
| Identification Number: | 10.4018/978-1-60960-477-6.ch007 |
| Status: | Not Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| URI: | http://wrap.warwick.ac.uk/id/eprint/42722 |
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