Elbatawi, I. E. <br/><br/>
Detecting rice quality as influenced by hulling visible and near-infrared spectroscopy[electronic resource]. 
 الكشف على جودة محصول الأرز والتى تتأثر بعملية التقشير وذلك باستخدام التحليل الطيفى للأشعة تحت الحمراء. 

 - p.77-88. 
<br/><br/>Includes reference. 
<br/><br/> Visible and near-infrared (VIS/NIR) spectroscopy calibration models for rice taste evaluation were developed Sakha, 101 short-grain rice variety. The best performance calibration model was obtained from original spectra of whole grain milled rice using multiple linear regression (MLR) analysis. The correlation coefficient (R²) and the standard error of prediction (SEP) of the validation set was 0.83 and 0.31, respectively for estimated taste value. Ncar-infrared transmission (NIRT) spectroscopy wns used in an nttempt to predict moisture content, protein content and amylose content from un-dried whole grain rough and milled rice spectra. 
<br/><br/><br/>Summary in Arabic. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Rice--Quality.<br/>Rice--Hulling<br/>Near infrared spectroscopy<br/>Infrared radiation.