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Modeling Sugarbeet Quality Variables From Satellite Images And Canopy Spectral Indices, Subodh Kulkarni
Modeling Sugarbeet Quality Variables From Satellite Images And Canopy Spectral Indices, Subodh Kulkarni
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Remote sensing was used to model crop quality from measurements of canopy spectra. Three indices of canopy characteristics, derived from satellite image data, were tested for relationship to whole-field sugarbeet quality. Quality was quantified as recoverable sucrose per ton of harvested sugarbeets. Quality data were extracted from the year 2002 Field Database of the Southern Minnesota Beet Sugar Co-operative, (SMBSC), Renville, Minnesota. Linear regression models utilizing canopy indices and changes in canopy indices over time were tested for relationship to sugarbeet quality for four classes of sugarbeets. Classes of sugarbeet tested represented fields planted to a mix of varieties resistant …