• When collecting temperature readings of the equipment for some yield monitors make sure the combine has been out in normal operating temperatures for several hours. For example, taking a temperature reading from the combine when it has been in the shed or under a shade tree is much different than under direct sunlight. Take temperature readings close to the moisture sensor on the combine.
  • Collect moisture calibrations for each grain type. Take a good representation of the moisture of the grain harvested throughout the loads.
  • When calibrating monitor for ground speeds use typical field conditions rather than a road or waterway. Tire slippage can create inaccuracy with calibration.
  • Harvest calibration loads at different flow rates. Yield will vary throughout the field. Adjusting flow rates will improve accuracy. When calibrating loads it is recommended to use loads between 3,000 to 6,000 lbs. This helps reduce variability with excess grain that may be in the combine.
  • Gather loads in well-represented areas of the field. Avoid starting calibration loads on turn rows, weed patches or areas of major topography changes in the field. Hillsides and rolling ground can impact calibration load data because of how the grain impacts the flow sensor. If you are unable to avoid topographical changes make sure you get a good representation of loads going up-and-down hill and side-to-side of a hill.
  • It is recommended to calibrate for each type of grain for each year. The dynamics of the combine changes from wear and tear and can influence the outcome of your yield data.
  • When conducting on-farm research trials or harvesting fields with multiple varieties, consider creating a calibration load for each treatment or variety. For example, calibrate for regular corn and high-oil corn separately due to the differences in test weight and moisture characteristics of the grain.
  • Calibrate for different moisture levels per type of grain. For example, calibrate differently for corn below 22% moisture vs. corn above 22% moisture.