Abstract
The yield map is generated by fitting the yield surface shape of yield monitor data mainly using paraboloid cones on floating neighborhoods. Each yield map value is determined by the fit of such a cone on an elliptical neighborhood that is wider across the harvest tracks than it is along them. The coefficients of regression for modeling the paraboloid cones and the scale parameter are estimated using robust weighted M-estimators where the weights decrease quadratically from 1 in the middle to zero at the border of the selected neighborhood. The robust way of estimating the model parameters supersedes a procedure for detecting outliers. For a given neighborhood shape, this yield mapping method is implemented by the Fortran program paraboloidmapping.exe, which can be downloaded from the web. The size of the selected neighborhood is considered appropriate if the variance of the yield map values equals the variance of the true yields, which is the difference between the variance of the raw yield data and the error variance of the yield monitor. It is estimated using a robust variogram on data that have not had the trend removed.
Highlights
The yield mapping method I extensively describe here follows Bachmaier [1] in many parts
Each yield map value is determined by the fit of such a cone on an elliptical neighborhood that is wider across the harvest tracks than it is along them
For a given neighborhood shape, this yield mapping method is implemented by the Fortran program paraboloidmapping.exe, which can be downloaded from the web
Summary
The yield mapping method I extensively describe here follows Bachmaier [1] in many parts. It does not use filtering techniques to remove outlying yield measurements that are caused mainly by the monitoring process. The yield map values determined by my method does not depend on the removal of outliers, but from fitting the yield surface of the raw data using paraboloid cones on floating neighborhoods. By choosing these neighborhoods across the tracks wider than along them, the yield map can be adapted better to changes in yield along the tracks than across them. The use of weights has the additional advantage that, contrary to all other filtering techniques in the literature mentioned
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