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http://dx.doi.org/10.5307/JBE.2010.35.6.450

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

Kim, Dae-Yong (Dept. of Biosystems Machinery Engineering, Chungnam National University)
Cho, Byoung-Kwan (Dept. of Biosystems Machinery Engineering, Chungnam National University)
Mo, Chang-Yeun (National Academy of Agricultural Science, RDA)
Kim, Young-Sik (Dept. Plant Industry Engineering, Sangmyung University)
Publication Information
Journal of Biosystems Engineering / v.35, no.6, 2010 , pp. 450-457 More about this Journal
Abstract
Although cherry tomato is one of major vegetables consumed in fresh vegetable market, the quality grading method is mostly 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 ($R^2_p$) 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 $0.434^{\circ}Brix$ with a preprocessing of the 1st derivative of Savitzky Golay, and 0.518 and 0.229% with a preprocessing normalization, respectively.
Keywords
Vis/NIR spectroscopy; Transmittance spectra; Cherry tomato; Internal quality; Partial least square analysis;
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Times Cited By KSCI : 4  (Citation Analysis)
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