by: Elizabeth Hawkins, Kaylee Port, John Fulton
As the number of tools and services utilizing precision ag data to aide in decision making continues to increase, the importance of having quality data is also increasing. Most producers understand the importance of yield monitor calibration for generating accurate yield estimates, but there are other errors that can impact both the accuracy and the spatial integrity of yield data. Spatial integrity of yield data becomes very important when being used to generating prescriptions for fertilizer and seeding. Spatial inaccuracies in yield data become a problem when using yield maps to create management zones and subsequent input decisions by zone within a field. Taking the time to evaluate quality and removing erroneous data ensures prescriptions and other maps based off yield data are correct.
When processing yield data this winter, some errors to be mindful of include: header height setting, quick stop-start errors, flow delay setting, and header/ platform width setting. Each of these errors will result in inaccurate yield estimates impacting maps created from yield maps. The following outlines some of the potential errors: