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Author: search.filters.author.Buranasiri, PrathanSubject: search.filters.subject.Biophotonics

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    Improvement of single wavelength-based Thai jasmine rice identification with elliptic Fourier descriptor and neural network analysis
    (2012-12-01)
    Suwansukho, Kajpanya
    ;
    Sumriddetchkajorn, Sarun
    ;
    Buranasiri, Prathan
    Instead of considering only the amount of fluorescent signal spatially distributed on the image of milled rice grains this paper shows how our single-wavelength spectral-imaging-based Thai jasmine (KDML105) rice identification system can be improved by analyzing the shape and size of the image of each milled rice variety especially during the image threshold operation. The image of each milled rice variety is expressed as chain codes and elliptic Fourier coefficients. After that, a feed-forward back-propagation neural network model is applied, resulting in an improved average FAR of 11.0% and FRR of 19.0% in identifying KDML105 milled rice from the unwanted four milled rice varieties. © Copyright SPIE.
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    Combination of simple chemical and spectroscopic methods for the identification of Thai hom mali rice
    (2009-09-08)
    Suwansukhoa, Kajpanya
    ;
    Sumriddetchkajorn, Sarun
    ;
    Buranasiri, Prathan
    As the Thai Dawk Mali (KDML105) rice variety is popular due to its high sensory after cook, there is an increase in mixing the KDML105 rice with other rice varieties that leads to unqualified KDML105 milled rice products for export and unqualified unmilled rice seeds for next plants. Instead of using traditional time consuming methods based on the disintegration of the rice kernel in an alkali solution and the inspection of rice cooked in boiling water, this paper proposes to analyze the milled rice powder dissolved in our alkali solution via a spectroscopic method. In our study, 0.1 g, 0.2 g, and 0.3 of milled rice powder from four Thai rice varieties, i.e., KDML105, Pathumthani1, Chainat1, and RD6, are selected. Then each milled rice sample is ground and then dissolved in a 10% potassium hydroxide (KOH) solution. At the specified minutes of dissolution, the relative optical transmission spectrum of the milled rice solution in a 500-800 nm wavelength is measured and only its first derivative is used for the identification of the KDML105 milled rice. We find that the use of 0.10 g of the milled rice powder dissolved in our KOH solution for 10 minutes provides the lowest false rejection rate of 15%, indicating that we have a faster approach with less amount of waste produced. With the 0.2-g milled rice powder, 5 minutes of dissolution is needed but with a slightly higher false rejection rate of 18.3%. © 2009 SPIE.
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    Identification of Thai hom mali rice using a refractometer
    (2009-09-08)
    Sumriddetchkajorn, Sarun
    ;
    Suwansukho, Kajpanya
    ;
    Buranasiri, Prathan
    Because Thai Hom Mali, also known as Thai Dawk Mali (KDML105), rice is very popular and its price is high compared to other Thai rice varieties, there is an increase in mixing KDML105 milled and unmilled rice grains with other rice varieties, leading to unqualified KDML105 milled rice products for export and unqualified KDML105 unmilled rice seeds for next plants. Instead of using traditional time- and energy- consuming procedures such as alkaline spreading value and pasting property tests, this paper proposes a fast refractometry-based method to analyze ground milled rice grains dissolved in an alkaline solution. Our idea comes from the fact that due to differences in the amount of amylose content in each rice variety, the refractive index of the milled rice powder dissolved in an alkaline solution can be used to distinguish the desired KDML105 rice from others. In our approach, only 0.1 grams of milled rice powder is ground, it is then dissolved in a 10% potassium hydroxide, and its refractive index is investigated. Our experiment using a temperature-controlled optical refractometer and four Thai rice varieties (KDML105, Pathumthani1, Chainat1, and a Thai sticky rice) shows that the milled KDML105 rice can be distinguished from the remaining three rice varieties with a total false error rate of 6.7% and the required measurement time of < 20 seconds. Key advantages include simplicity, moderate accuracy, and less waste produced. © 2009 SPIE.