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This study aims to determine if sensors can predict sugar beet canopy near harvest time and compare the effectiveness of the Red Greenseeker and Crop Circle sensors. Correlations between sensor data, top dry matter, and normalized difference vegetation index (NDVI) were analyzed. The study concluded that there is a relationship between top dry matter and NDVI as measured by the sensors, and both sensors are effective in predicting top dry matter.
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The Comparison of Red Greenseeker and Crop Circle in a Sugar Beet Canopy John A. Lamb University of Minnesota and Mark W. Bredehoeft Southern Minnesota Beet Sugar Cooperative
Sugar beet top yield 2004 Y = -11402 + 20665 X r = 0.34* Y = -11157 + 18705 X r = 0.62** Y = -13397 + 19142 X r = 0.40**
TW Clara City 0 N NDVI = 0.66 C.V. = 10% TW Clara City 130 N NDVI = 0.84 C.V. = 2% July 13, 2005
Objectives • Determine if sensors can predict sugar beet canopy near time of harvest. • Compare the red greenseeker and crop circle sensors for sugar beet canopy.
Methods • 3 locations with small plots • 3 varieties • 5 to 6 N rates • Harvest sugar beet tops and determine dry matter for each plot.
Correlation between GS and CC r = 0.82
Top DM and NDVI (GS) r = 0.63
Top DM and NDVI (CC) r = 0.60
Conclusions • There is a relationship between Top DM and NDVI as measured by sensors. • The sensors, while not producing the same NDVI numbers, work similarly in predicting Top DM.