Submitted to: ASAE Annual International Meeting
Publication Type: Proceedings
Publication Acceptance Date: 12/20/2002
Publication Date: 7/30/2003
Citation: DIKER, K., HENDERSON, S.A., BAUSCH, W.C., WRIGHT, D.K. RELATIONSHIP BETWEEN YIELD MONITOR AND REMOTELY SENSED DATA FOR CORN. ASAE ANNUAL INTERNATIONAL MEETING. 2003. Interpretive Summary: Yield monitor data can be utilized for decision making for up-coming years management strategies. However, there are several errors associated with yield monitor data. Assessment of these errors by remote sensing technology was studied. Results showed that yield variability at the edges of the field were higher than that suggested by remotely sensed data. Speed of the harvester, headland planting/harvesting, and/or harvester travel into and out of the field seemed to be the contributors to the errors. We concluded that remote sensing of yield variability could be an efficient way to quantify the yield monitor errors. We expect producers and crop consultants will find this methodology useful in assessment of errors introduced by yield monitors
Technical Abstract: 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-Weiner's 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.