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Digital Image Analysis Method for Rapid Measurement of Rice Degree of Milling¹

¹Published with the approval of the Director of the Agricultural Experiment Station, University of Arkansas, Fayetteville, AR. Mention of trademark or proprietary products does not constitute a guarantee or warranty by the University of Arkansas and does not imply its approval to the exclusion of other products that may also be suitable. ²Former graduate assistant, assistant professor, professor, and research assistant, respectively, Biological and Agricultural Engineering Department, University of Arkansas, Fayetteville, AR. ³Corresponding author. E-mail: yt0@engr.uark.edu

A digital image analysis method was developed to quickly and accurately measure the degree of milling (DOM) of rice. The digital image analysis method was statistically compared to a chemical analysis method for evaluating DOM, which consisted of measuring the surface lipids concentration (SLC) of milled rice. The surface lipid area percentage (SLAP) obtained by the image analysis method and the SLC obtained by chemical analysis had a high coefficient of determination using a quadratic model (R² = 0.9819) and using a logarithmic model (R² = 0.9703). The quadratic model and the logarithmic model were validated using the test data set and it received high coefficients of determination (R² = 0.9502 and R² = 0.9459, respectively).