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The Use of Early Season Multispectral Images for Weed Detection in Corn

Published online by Cambridge University Press:  20 January 2017

Jon-Joseph Q. Armstrong ,
Richard D. Dirks  and
Kevin D. Gibson
Jon-Joseph Q. Armstrong*
Affiliation:
Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907–2054
Richard D. Dirks
Affiliation:
Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907–2054
Kevin D. Gibson
Affiliation:
Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907–2054
*
Corresponding author's E-mail: armst200@msu.edu
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Abstract

The objective of this research was to determine the potential use of commercially available multispectral images to detect weeds at low densities during the critical period of weed control. Common lambsquarters seedlings were transplanted into plots of glyphosate-resistant corn at 0, 1, 2, and 4 plants/m2 at two sites, Agronomy Center for Research and Extension (ACRE) and Meig's Horticultural Research Farm at the Throckmorton–Purdue Agricultural Center (TPAC), in Indiana. Aerial multispectral images (12 to 16 cm pixel resolution) were taken 18 and 32 days after planting (DAP) at ACRE and 19 and 32 DAP at TPAC. Corn and common lambsquarters could not be reliably detected and differentiated at either site when weeds were 9 cm or less in height. However, economic threshold densities (2 and 4 plants/m2) of common lambsquarters could be distinguished from weed-free plots at TPAC when weeds were 17 cm in height. At this height, common lambsquarters plants were beyond the optimal height for glyphosate application, but could still be readily controlled with higher rates. Results from this study indicate that commercially available multispectral aerial imagery at current spatial resolutions does not provide consistently reliable data for detection of early season weeds in glyphosate-resistant corn cropping systems. Additional refinement in sensor spatial and spectral resolution is necessary to increase our ability to successfully detect early season weed infestations.

Keywords

Glyphosatecommon lambsquarters, Chenopodium album L. CHEALcorn, Zea mays L.Glyphosate-resistantremote sensingsite-specific weed managementweed maps
Type
Research
Information
Weed Technology , Volume 21 , Issue 4 , December 2007 , pp. 857 - 862
Copyright
Copyright © Weed Science Society of America 

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References

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