The creation of predictive models from hyperspectral images has enabled the rapid and precise quantification of sugar content in each product, providing quality assurance without the need for physical testing. Various prediction models were developed by applying diverse signal pre-processing techniques to identify the optimal approach, considering the prediction error of the test data set.