The Library
The analysis of plant's organic volatiles compounds with electronic nose and pattern recognition techniques
Tools
Tools
Tools
Ghaffari, Reza, Zhang, Fu, Iliescu, Daciana, Hines, Evor, Leeson, Mark S. and Napier, R. (2011) The analysis of plant's organic volatiles compounds with electronic nose and pattern recognition techniques. In: Qahwaji, Rami, 1972- and Green, Roger, 1951- and Hines, Evor, 1957-, (eds.) Applied signal and image processing : multidisciplinary advancements. Hershey, PA: IGI Global, pp. 115-126. ISBN 9781609604776
|
PDF
WRAP_napier chap 7 - qahwaji.pdf - Published Version - Requires a PDF viewer. Download (970Kb) | Preview |
|
![[img]](http://wrap.warwick.ac.uk/style/images/fileicons/application_pdf.png) |
PDF (Publisher permission to archive)
napier permission_signed.pdf - Other Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (1247Kb) |
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 > QK Botany T Technology > TA Engineering (General). Civil engineering (General) |
||||
| Divisions: | Faculty of Science > Engineering Faculty of Science > Life Sciences (2010- ) Faculty of Science > Life Sciences (2010- ) > Warwick HRI (2004-2010) |
||||
| Library of Congress Subject Headings (LCSH): | Pattern recognition systems, Electrochemical sensors, Volatile organic compounds, Plants -- Diseases and pests -- Diagnosis | ||||
| Publisher: | IGI Global | ||||
| Place of Publication: | Hershey, PA | ||||
| ISBN: | 9781609604776 | ||||
| Book Title: | Applied signal and image processing : multidisciplinary advancements | ||||
| Editor: | Qahwaji, Rami, 1972- and Green, Roger, 1951- and Hines, Evor, 1957- | ||||
| Official Date: | March 2011 | ||||
| Dates: |
|
||||
| Number of Pages: | 12 | ||||
| Page Range: | pp. 115-126 | ||||
| DOI: | 10.4018/978-1-60960-477-6.ch007 | ||||
| Status: | Not Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Funder: | Seventh Framework Programme (European Commission) (FP7) |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
