Our webinar is aimed at NIR experts, who need the ability to build robust calibration models that can withstand significant variability in raw material, for instance, due to changing properties of crops affected by climate change and more.
The focus is on the artificial neural network (ANN) calibration method as a proven and versatile way to handle the complex challenge of managing the quality of raw material sourced from an unpredictable supply. You'll also learn how FossCalibrator™, our user-friendly NIR calibration software, can help you develop robust and accurate calibration models using ANN.
