METHOD AND SYSTEM FOR PREDICTING OIL ADULTERATION OF AN EDIBLE OIL SAMPLE

摘要

According to embodiments, a method for predicting quantitative measures of oil adulteration of an edible oil sample is provided. The method includes receiving at least part of a spectral data of the edible oil sample; providing a single prediction model capable of generating a prediction of an adulterant in the edible oil sample, wherein the single prediction model is a non-linear model including a deep neural network; and processing the at least part of the spectral data using the single prediction model. According to further embodiments, a computer readable storage medium including computer readable instructions operable when executed by a computer to predict quantitative measures of oil adulteration of the edible oil sample is also provided. According to yet further embodiments, an apparatus or system for predicting quantitative measures of oil adulteration of the edible oil sample is provided.