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

근적외선 분석계를 이용한 국내산 쌀의 성분 예측모델 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 Infrared(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 undried 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 well 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 the lab measured values from dried paddy. Continuous study in wavelength selection and of constituent relationship is necessary for practical application.