Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Field asymmetric ion mobility spectrometry based plant disease detection : intelligent systems approach

Tools
- Tools
+ Tools

Ghaffari, Reza, Zhang, Fu, Iliescu, Daciana, Hines, Evor, Leeson, Mark S. and Napier, R. (2011) Field asymmetric ion mobility spectrometry based plant disease detection : intelligent systems approach. 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. 102-114. ISBN 9781609604776

[img]
Preview
PDF
WRAP_napier chap 6-qahwaji 2011.pdf - Published Version - Requires a PDF viewer.

Download (598Kb) | Preview
[img] 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

Request Changes to record.

Abstract

This chapter presents the initial studies on the detection of two common diseases and pests, the powdery mildew and spider mites, on greenhouse tomato plants by measuring the chemical volatiles emitted from the tomato plants as the disease develops using a Field Asymmetric Ion Mobility Spectrometry (FAIMS) device. The processing on the collected FAIMS measurements using PCA shows that clear increment patterns can be observed on all the experimental plants representing the gradual development of the diseases. Optimisation on the number of dispersion voltages to be used in the FAIMS device shows that reducing the number of dispersion voltages by a factor up to 10, preserves the key development patterns perfectly, though the amplitudes of the new patterns are reduced significantly.

Item Type: Book Item
Subjects: S Agriculture > SB Plant culture
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- )
Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) > Warwick HRI (2004-2010)
Library of Congress Subject Headings (LCSH): Tomatoes -- Diseases and pests, Powdery mildew diseases, Spider mites, Volatile organic compounds, Ion mobility spectroscopy
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:
DateEvent
March 2011Published
Number of Pages: 13
Page Range: pp. 102-114
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
Date of first compliant deposit: 19 December 2015
Date of first compliant Open Access: 19 December 2015

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us