Study on Prediction of Internal Quality of Cherry Tomato using Vis/NIR Spectroscopy

초록

Although cherry tomato is one of major vegetables consumed in fresh vegetable market, the quality grading method is only dependant on size measurement using drum shape sorting machines. Using Visible/Near-infrared spectroscopy, apparatus to be able to acquire transmittance spectrum data was made and used to estimate firmness, sugar content, and acidity of cherry tomatoes grown at hydroponic and soil culture. Partial least square (PLS) models were performed to predict firmness,sugar content, and acidity for the acquired transmittance spectra. To enhance accuracy of the PLS models, several preprocessing methods were carried out, such as normalization, multiplicative scatter correction (MSC), standard normal variate (SNV), and derivatives, etc. The coefficient of determination (Rp2) and standard error of prediction (SEP) for the prediction of firmness, sugar, and acidity of cherry tomatoes from green to red ripening stages were 0.859 and 1.899 kgf, with a preprocessing of normalization, 0.790 and 0.434 kgf with a preprocessing of the 1st derivative of Savitzky Golay, and 0.518and 0.229% with a preprocessing normalization, respectively.

키워드