Two minute tech video interview explains new possibilities to reduce the cost of maintaining prediction models for dairy analysis equipment.
Today, the use of FT-IR technology is widely accepted as the preferred technology to do liquid milk analysis as it provides the most accurate results. The quality of data from any FT-IR instrument however is dependent on the prediction models used on the instrument. Maintaining and monitoring the performance of these prediction models is done using wet chemistry reference testing which can prove a time-consuming and costly process.
In this light, the use of robust FT-IR prediction models is a logical step to key to rationalizing the use of wet chemistry testing without compromising accuracy of test results. See our two minute technical insight for more background on the advantages of robust prediction models.
In this light, the use of robust FT-IR prediction models is a logical step to key to rationalizing the use of wet chemistry testing without compromising accuracy of test results. See our two minute technical insight for more background on the advantages of robust prediction models.
