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Relationship Between Yield Monitor and Remotely Sensed Data for Corn

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  021164,  2002 ASAE Annual Meeting . (doi: 10.13031/2013.9157) @2002
Authors:   Kenan Diker, Dale F. Heermann, Walter C. Bausch, David K. Wright
Keywords:   Shannon-Weiner’s Diversity Index, Yield monitor, Remote sensing, GIS, Image analysis

Measurement of yield variability is needed for developing and evaluating site-specific crop management strategies. However, there are many sources of error in measuring the actual yield variability. The boundary effect on yield monitor data was studied by successive clipping of yield monitor data. Results indicated that the correlations between grain yield and the NDVI on DOY 203 were improved as the field perimeter was clipped to 30.5 m inside of the field boundary. The coefficient of determination (r2) between the yield and NDVI on DOY 203 improved from 0.67 to 0.76. Shannon-Weiners Diversity Index (SWDI) showed that diversity at the perimeter was decreased as clipping was carried out. The yield variability was considerably higher in the clipped areas due to the speed of the harvester, headland harvest and time for yield monitor fill-up and emptying. The highly diverse yield monitor areas were about 2 times that of remotely sensed data as indicated by the SWDI.

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