Yield Monitor Calibration Calculator
Compare monitor-reported yield to a weighed load to estimate percent error and a calibration factor.
Inputs
How It Works
Convert weighed pounds to bushels using test weight, then compare to the monitor’s reported bushels.
Actual Bushels = Weighed Pounds ÷ Test Weight
Calibration Multiplier = Actual Bushels ÷ Monitor Bushels
If your monitor supports a calibration factor, multiply your current factor by the calibration multiplier.
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FAQ
How many loads should I use to calibrate?
Use multiple loads across a range of flow rates and field conditions. More data generally improves accuracy.
Why does my yield monitor drift during the season?
Moisture changes, crop conditions, sensor wear, vibration, and flow rate differences can affect readings. Re-check calibration periodically.
Should I use wet or dry weight?
Use the same basis your monitor uses for reported bushels. If your monitor reports at standard moisture, use elevator settlement data when possible.
What is “test weight” used for here?
Test weight (lb/bu) converts pounds to bushels. Standard values vary by crop and buyer, so adjust as needed.
About Yield Monitor Calibration
Yield monitor calibration is critical for accurate yield maps and sound agronomic decisions. A monitor can be consistently high or low if flow sensors, moisture sensors, or header settings are not properly calibrated. Even a small percentage error can distort management zone analysis, variety comparisons, and input ROI calculations.
The most reliable way to calibrate is to compare monitor-reported bushels to a known reference such as a weighed wagon, truck scale, or elevator settlement sheet. This calculator helps you convert weighed grain to bushels using test weight, compute percent error, and estimate a calibration multiplier you can apply in your display.
For best results, calibrate using multiple loads across different yields and flow rates. Re-check calibration when harvest moisture changes significantly, when switching crops or hybrids, or after equipment repairs. Accurate calibration improves confidence in yield data and supports better precision agriculture decisions.