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Field Asymmetric Ion Mobility Spectrometry Based Plant Disease Detection: Intelligent Systems Approach

Field Asymmetric Ion Mobility Spectrometry Based Plant Disease Detection: Intelligent Systems Approach

F. Zhang, R. Ghaffari, D. Iliescu, E. Hines, M. Leeson, R. Napier
Copyright: © 2011 |Pages: 13
ISBN13: 9781609604776|ISBN10: 1609604776|EISBN13: 9781609604783
DOI: 10.4018/978-1-60960-477-6.ch006
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MLA

Zhang, F., et al. "Field Asymmetric Ion Mobility Spectrometry Based Plant Disease Detection: Intelligent Systems Approach." Applied Signal and Image Processing: Multidisciplinary Advancements, edited by Rami Qahwaji, et al., IGI Global, 2011, pp. 102-114. https://doi.org/10.4018/978-1-60960-477-6.ch006

APA

Zhang, F., Ghaffari, R., Iliescu, D., Hines, E., Leeson, M., & Napier, R. (2011). Field Asymmetric Ion Mobility Spectrometry Based Plant Disease Detection: Intelligent Systems Approach. In R. Qahwaji, R. Green, & E. Hines (Eds.), Applied Signal and Image Processing: Multidisciplinary Advancements (pp. 102-114). IGI Global. https://doi.org/10.4018/978-1-60960-477-6.ch006

Chicago

Zhang, F., et al. "Field Asymmetric Ion Mobility Spectrometry Based Plant Disease Detection: Intelligent Systems Approach." In Applied Signal and Image Processing: Multidisciplinary Advancements, edited by Rami Qahwaji, Roger Green, and Evor L. Hines, 102-114. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-477-6.ch006

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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.

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