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Moisture meter comparisons

Every year, we verify the accuracy of 919/3.5” and UGMA (Unified Grain Moisture Algorithm) moisture meters against the reference method (oven drying method). Our research confirms that, when properly calibrated and maintained, both types of moisture meter predict similar moisture results.

These figures show the performance of moisture meters from the last 5 crop years based on our current calibrations. All samples were tested at 22°C. Data was collected using our master moisture instruments for the crop listed on each figure. Each figure shows the difference between the meter results and the reference oven results. The orange triangles show results from model 919/3.5” moisture meters and the blue circles show results from UGMA moisture meters.

The number of samples tested, the average difference between the meter and reference oven, and the standard deviation of the differences are provided for each crop. The average difference value is a measure of the overall difference between the meter and reference oven results. The standard deviation of differences (SDD) value is a measure of the variability of differences between the meter results and the reference oven results.

Moisture meter comparison results by commodity

  • Barley

    We evaluated 344 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.1% and a SDD of 0.43
    • The UGMA models give an average difference of 0.1% and a SDD of 0.23
    • 86% of the model 919/3.5” data points and 95% of the UGMA data points are within ±0.5% of the reference oven results
    • 51% of the model 919/3.5” data points and 67% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Barley from 2019 to 2023
  • Canola

    We evaluated 288 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.0% and a SDD of 0.30
    • The UGMA models give an average difference of -0.1% and a SDD of 0.26
    • 91% of the model 919/3.5” data points and 95% of the UGMA data points are within ±0.5% of the reference oven results
    • 45% of the model 919/3.5” data points and 60% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Canola from 2019 and 2023
  • Corn

    We evaluated 510 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.9% and a SDD of 1.12
    • The UGMA models give an average difference of 0.0% and a SDD of 0.37
    • 43% of the model 919/3.5” data points and 87% of the UGMA data points are within ±0.5% of the reference oven results
    • 19% of the model 919/3.5” data points and 58% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Corn from 2019 and 2023
  • Lentils, other than red

    We evaluated 164 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.2% and a SDD of 0.30
    • The UGMA models give an average difference of 0.1% and a SDD of 0.13
    • 88% of the model 919/3.5” data points and 99% of the UGMA data points are within ±0.5% of the reference oven results
    • 46% of the model 919/3.5” data points and 84% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Lentils, other than red from 2019 and 2023
  • Lentils, red

    We evaluated 144 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.1% and a SDD of 0.32
    • The UGMA models give an average difference of 0.0% and a SDD of 0.12
    • 95% of the model 919/3.5” data points and 100% of the UGMA data points are within ±0.5% of the reference oven results
    • 53% of the model 919/3.5” data points and 90% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Red Lentils from 2019 and 2023
  • Oats

    We evaluated 390 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.2% and a SDD of 0.39
    • The UGMA models give an average difference of 0.0% and a SDD of 0.20
    • 77% of the model 919/3.5” data points and 98% of the UGMA data points are within ±0.5% of the reference oven results
    • 39% of the model 919/3.5” data points and 70% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Oats from 2019 and 2023
  • Peas

    We evaluated 319 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.2% and a SDD of 0.30
    • The UGMA models give an average difference of -0.1% and a SDD of 0.23
    • 88% of the model 919/3.5” data points and 97% of the UGMA data points are within ±0.5% of the reference oven results
    • 47% of the model 919/3.5” data points and 69% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Peas from 2019 and 2023
  • Soybeans

    We evaluated 158 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.2% and a SDD of 0.61
    • The UGMA models give an average difference of 0.1% and a SDD of 0.16
    • 79% of the model 919/3.5” data points and 99% of the UGMA data points are within ±0.5% of the reference oven results
    • 46% of the model 919/3.5” data points and 78% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Soybeans from 2019 and 2023
  • Wheat, Canada Eastern Soft Red Winter

    We evaluated 292 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.0% and a SDD of 0.24
    • The UGMA models give an average difference of 0.0% and a SDD of 0.17
    • 96% of the model 919/3.5” data points and 100% of the UGMA data points are within ±0.5% of the reference oven results
    • 58% of the model 919/3.5” data points and 77% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Canada Eastern Soft Red Winter wheat from 2019 and 2023
  • Wheat, Canada Eastern White Winter

    We evaluated 147 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.2% and a SDD of 0.27
    • The UGMA models give an average difference of 0.1% and a SDD of 0.15
    • 90% of the model 919/3.5” data points and 100% of the UGMA data points are within ±0.5% of the reference oven results
    • 50% of the model 919/3.5” data points and 77% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Canada Eastern White Winter wheat from 2019 and 2023
  • Wheat, Canada Prairie Spring Red

    We evaluated 269 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.2% and a SDD of 0.29
    • The UGMA models give an average difference of 0.1% and a SDD of 0.15
    • 89% of the model 919/3.5” data points and 99% of the UGMA data points are within ±0.5% of the reference oven results
    • 44% of the model 919/3.5” data points and 81% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Canada Prairie Spring Red wheat from 2019 and 2023
  • Wheat, Canada Western Amber Durum

    We evaluated 239 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.1% and a SDD of 0.27
    • The UGMA models give an average difference of 0.1% and a SDD of 0.17
    • 92% of the model 919/3.5” data points and 98% of the UGMA data points are within ±0.5% of the reference oven results
    • 56% of the model 919/3.5” data points and 83% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Canada Western Amber Durum wheat from 2019 and 2023
  • Wheat, Canada Western Red Spring

    We evaluated 382 samples between 2019 and 2023 on our master 919/3.5” and UGMA moisture meters along with our reference oven method.

    • The model 919/3.5” gives an average difference of 0.1% and a SDD of 0.28
    • The UGMA models give an average difference of 0.0% and a SDD of 0.17
    • 91% of the model 919/3.5” data points and 99% of the UGMA data points are within ±0.5% of the reference oven results
    • 58% of the model 919/3.5” data points and 81% of the UGMA data points are within ±0.2% of the reference oven results
    Scatter graph showing moisture meter results for Canada Western Red Spring wheat from 2019 and 2023

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