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The Analysis of Plant’s Organic Volatiles Compounds with Electronic Nose and Pattern Recognition Techniques
- Publication Year :
- 2011
- Publisher :
- IGI Global, 2011.
-
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.
Details
- ISBN :
- 978-1-60960-477-6
- ISBNs :
- 9781609604776
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....7c925b132de7e2d9221be2bfe5083dbb