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Original paper: Development of a method using multispectral imagery and spatial pattern metrics to quantify stress to wheat fields caused by Diuraphis noxia

Published: 01 January 2011 Publication History

Abstract

The Russian wheat aphid, Diuraphis noxia, is an important pest of winter wheat, Triticum aestivum, and barley, Hordeum vulgare that has caused an annual economic loss estimated at over 1 billion dollars since it first appeared in the United States. The objective of this study was to determine the potential of combining multispectral imagery with spatial pattern recognition to identify and spatially differentiate D. noxia infestations in wheat fields. Multispectral images were acquired using an MS3100-CIR multispectral camera. D. noxia, drought, and agronomic conditions were identified as major causes for stresses found in wheat fields. Seven spatial metrics were computed for each stress factor. The analysis of spatial metrics quantitatively differentiated the three types of stress found within wheat fields. Detection and differentiation of wheat field stress may help in mapping stress and may have implications for site-specific monitoring systems to identify D. noxia infestations and help to target pesticide applications.

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  • (2016)Spectral monitoring of wheat canopy under uncontrolled conditions for decision making purposesComputers and Electronics in Agriculture10.1016/j.compag.2016.05.002125:C(81-88)Online publication date: 1-Jul-2016
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  • (2015)Processed multispectral imagery differentiates wheat crop stress caused by greenbug from other causesComputers and Electronics in Agriculture10.1016/j.compag.2015.05.008115:C(34-39)Online publication date: 1-Jul-2015
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  1. Original paper: Development of a method using multispectral imagery and spatial pattern metrics to quantify stress to wheat fields caused by Diuraphis noxia
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        cover image Computers and Electronics in Agriculture
        Computers and Electronics in Agriculture  Volume 75, Issue 1
        January, 2011
        223 pages

        Publisher

        Elsevier Science Publishers B. V.

        Netherlands

        Publication History

        Published: 01 January 2011

        Author Tags

        1. Diuraphis noxia
        2. Multispectral image
        3. Plant stress
        4. Remote sensing
        5. Spatial pattern metrics

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        View all
        • (2016)Spectral monitoring of wheat canopy under uncontrolled conditions for decision making purposesComputers and Electronics in Agriculture10.1016/j.compag.2016.05.002125:C(81-88)Online publication date: 1-Jul-2016
        • (2015)Hyperspectral image analysis based on BoSW model for rice panicle blast gradingComputers and Electronics in Agriculture10.1016/j.compag.2015.08.031118:C(167-178)Online publication date: 1-Oct-2015
        • (2015)Processed multispectral imagery differentiates wheat crop stress caused by greenbug from other causesComputers and Electronics in Agriculture10.1016/j.compag.2015.05.008115:C(34-39)Online publication date: 1-Jul-2015
        • (2013)Differentiating stress to wheat fields induced by Diuraphis noxia from other stress causing factorsComputers and Electronics in Agriculture10.5555/2749493.275029190:C(47-53)Online publication date: 1-Jan-2013
        • (2011)Spatially discriminating Russian wheat aphid induced plant stress from other wheat stressing factorsComputers and Electronics in Agriculture10.1016/j.compag.2011.06.00578:2(123-129)Online publication date: 1-Sep-2011

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