Development of a Constituent Prediction Model of Domestic Rice Using Near Infrared Reflection Analyzer (II)-Prediction of Brown and Milled Rice Protein Content and Brown Rice Yield from Undried Paddy

근적외선 분석계를 이용한 국내산 쌀의 성분예측모델 개발(II)-생벼를 이용한 현미.백미의 단백질 함량과 현미수율 예측

The part Ⅰ was for developing regression models to predict the moisture content, protein content and viscosity of brown and milled rice using Near Unfrared (NIR) Reflectance analyzer. The purpose of this study(part Ⅱ) is to measure fundamental data required for the prediction of rice quality , and to develop regression models to predict the protein content of brown and milled rice, brown rice yield from undreid paddy powder by using Near Infrared (NIR) Reflectance analyzer. The results of this study were summarized as follows . The predicted values of protein contents obtained from the undried paddy powder were will correlated to the measured values from brown and milled rice. The predicted yields of brown rice from undried paddy powder were not well correlated to be lab measured values from dried paddy. Continuous study in wavelength selection and of constituent relationship is necessary for practical application.