research-article

Differentiating stress to wheat fields induced by Diuraphis noxia from other stress causing factors

Authors:

Georges F. Backoulou,

Norman C. Elliott,

Kristopher L. Giles,

Mahesh N. RaoAuthors Info & Claims

Computers and Electronics in Agriculture, Volume 90, Issue C

Pages 47 - 53

Published: 01 January 2013 Publication History

Abstract

Highlights Diuraphis noxia induced stress and cause economic loss to wheat production. Multispectral image data can be used to detect stress in wheat fields. Stress in wheat fields may be a mixture of several stress causing factors. Spatial pattern metrics from multispectral imagery can be used to quantify stress. A discriminant function analysis can be used to differentiate stress induced by D. noxia from other stress causing factors. The objective of this study was to develop a method to differentiate two categories of stress to wheat fields, stress induced by the Russian wheat aphid, Diuraphis noxia (Mordvilko), and stress caused by other factors. The study used a set of spatial pattern metrics derived from multispectral imagery acquired with an MS3100-CIR digital camera. Thematic maps were generated from the subset of multispectral image of each wheat field. A discriminant function analysis was used to determine whether the set of spatial pattern metrics derived from thematic maps could differentiate the categories of stress. The study concluded that it was possible to use class-based spatial pattern metrics to differentiate stress induced by D. noxia from other stress factors.

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Cited By

Backoulou GElliott NGiles KMirik M(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
https://dl.acm.org/doi/10.1016/j.compag.2015.05.008

Index Terms

Differentiating stress to wheat fields induced by Diuraphis noxia from other stress causing factors
1. Applied computing
  1. Physical sciences and engineering
    1. Earth and atmospheric sciences
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation
      1. Image processing

Index terms have been assigned to the content through auto-classification.

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cover image Computers and Electronics in Agriculture

Computers and Electronics in Agriculture Volume 90, Issue C

January 2013

192 pages

ISSN:0168-1699

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Copyright © Elsevier B.V.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 January 2013

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Cited By

Backoulou GElliott NGiles KMirik M(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
https://dl.acm.org/doi/10.1016/j.compag.2015.05.008

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