Rapid and accurate measurement of rice moisture content, hectolitre mass (test weight) and temperature
Accurate and reliable measurement result
The Wile 200 Rice meter features a sample size that is clearly larger than in many other meters. The large sample size provides a more comprehensive overview of the rice being measured, avoiding situations where random kernels with higher moisture content distort the result. The handy meter featuring a clear backlit display guides the user and produces reliable measurement results even if applied by less experienced operators.
Applying weight compensation, the meter balances the differences within rice types, as well as structural variations in kernels caused by the change of season.
Also measures the test weight
Excellent ease of use
Using a Wile 200 Rice meter does not require force: just fill the transparent cup attached to the top of the meter, release the rice sample into the measuring chamber, and level the sample with the patented integrated levelling system. Excess rice falls neatly into the trough around the measuring cup.
Measuring can also be fast: W200 Rice does not require cleaning between measurements are made, like crushing meters do.
- Carrying case and carrying strap
- Operating manual.
The typical moisture content range for white rice is 6-24%, with 4-27% for paddy rice. Repeatability of the measurement results: ±0.3% points for stored rice.
Important! The scale settings of a Wile meter are adjusted to match the common standard rice types as closely as possible. However, properties of rice are likely to vary due to, for instance, varying growing conditions or new species. Always take several samples and use their average as the result.
Tip! You will get the best measurement accuracy for your rice if the temperature of the meter and the rice is within the range of 16-32˚C. The temperature of the meter and rice have to match each other as closely as possible, and it is advisable to store the sample in a container that is as air-tight as possible. In order to obtain a reliable result, the sample has to be representative.