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

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...

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Bibliographic Details
Published in:Weed science 2004-03, Vol.52 (2), p.222-229
Main Authors: Koger, Clifford H., Shaw, David R., Reddy, Krishna N., Bruce, Lori M.
Format: Article
Language:English
Subjects:
Agrology
Conventional tillage
Cover crops
discriminant analysis
Discriminants
No tillage
Plants
remote sensing
Soybeans
Spectral bands
Spectral reflectance
Tillage
WEED BIOLOGY AND ECOLOGY
Weeds
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Summary: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.
ISSN:0043-1745
1550-2759
DOI:10.1614/WS-03-082R