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Detection of pitted morningglory (Ipomoea lacunosa) by hyperspectral remote sensing. I. Effects of tillage and cover crop residue

Published online by Cambridge University Press:  20 January 2017

Clifford H. Koger ,
David R. Shaw ,
Krishna N. Reddy  and
Lori M. Bruce
David R. Shaw
Affiliation:
Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS 39762
Krishna N. Reddy
Affiliation:
Southern Weed Science Research Unit, USDA-ARS, Stoneville, MS 38776
Lori M. Bruce
Affiliation:
Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS 39762
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Abstract

Field experiments were conducted to evaluate the potential of hyperspectral reflectance data collected with a hand-held spectroradiometer to discriminate soybean intermixed with pitted morningglory and weed-free soybean in conventional till and no-till plots containing rye, hairy vetch, or no cover crop residue. Pitted morningglory was in the cotyledon to six-leaf growth stage. Seven 50-nm spectral bands (one ultraviolet, two visible, four near-infrared) derived from each hyperspectral reflectance measurement were used as discrimination variables. Pitted morningglory plant size had more influence on discriminant capabilities than tillage or cover crop residue systems. Across all tillage and residue systems, discrimination accuracy was 71 to 95%, depending on the size of pitted morningglory plants at the time of data acquisition. The versatility of the seven 50-nm bands was tested by using a discriminant model developed for one experiment location to test discriminant capabilities for the other experiment, with discrimination accuracy across all tillage and residue systems of 55 to 73%, depending on pitted morningglory plant size.

Keywords

Hairy vetch, Trifolium incarnatum L.pitted morningglory, Ipomoea lacunosa L. IPOLArye, Secale cereale L.soybean, Glycine max (L.) Merr. ‘Asgrow 4702RR’Conventional tillagediscriminant analysisno tillageremote sensing
Type
Weed Biology and Ecology
Information
Weed Science , Volume 52 , Issue 2 , April 2004 , pp. 222 - 229
Copyright
Copyright © Weed Science Society of America 

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Footnotes

Present address: Southern Weed Science Research Unit, USDA-ARS, Stoneville, MS 38776; [email protected]

References

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