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    Applying singular value decomposition technique for quantifying the insects in commercial Thai Hommali Rice from NIR Spectrum
    (2017-03-01)
    Jarruwat, Puttinun
    ;
    Choomjaihan, Prasan
    Insect infestation in rice stock is a significant issue in rice exporting business, resulting in the loss of product quality, nutrient as well as the economic losses. However, detecting the insect contamination with the traditional sorting techniques were destructive, inaccurate, time consuming and unable to detect the internal insect infestation. This study used near infrared (NIR) spectroscopy for obtaining the absorbent spectra from the insect contamination in two kinds of rice samples, Milled Hommali rice (MHR) and Brown Hommali rice (BHR). The mathematical methods of partial least squares (PLSs) regression and singular value decomposition (SVD) were employed to construct the predicting model. The statistical analysis results, R2, RMSEP, RPD and bias, concluded that the predictive models from PLS for MHR and BHR were 0.95 and 0.90, 0.014 and 0.019, 4.79 and 3.11, as well as -0.007 and -0.008, respectively; while the statistical analysis results from SVD for MHR and BHR were 0.97 and 0.96, 0.012 and 0.013, 5.71 and 5.39, as well as -0.003 and 0.002, respectively. It showed that SVD technique performed better than PLS technique which shows that using the advantage of SVD technique required less amounts of wave numbers for predicting and was possible to construct the low cost handheld equipment for detecting the insects in rice samples.
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    Applicability of near infrared spectroscopy for detecting post-fumigated weevils in packaged rice
    (2017-01-01)
    Jarruwat, Puttinun
    ;
    Choomjaihan, Prasan
    This research proposes the utilisation of Fourier transform near infrared spectroscopy to estimate post-fumigation rice weevils in packaged rice. Different mixtures of dead rice weevils in rice samples were scanned via Fourier transform near infrared through the package, and then the data were statistically analysed. The rice samples were of milled hom mali rice and brown hom mali rice, while the packaging materials were polyethylene plastic bags, polypropylene woven plastic sacks and hemp sacks. The results revealed that Fourier transform near infrared is most applicable for detecting dead rice weevils in milled hom mali rice in polyethylene bags as indicated respectively by validation r<sup>2</sup> and RPD values of 0.93 and 3.92, followed by the milled hom mali rice-polypropylene case with r<sup>2</sup> and RPD values of 0.87 and 3.05. The r<sup>2</sup> and RPD values were 0.86 and 3.00 for brown hom mali rice-polyethylene and 0.75 and 2.04 for brown hom mali rice-polypropylene. Due to poor penetration of NIR light through the hemp sacks, experiments were not carried out for this packaging material type.