01789cab a2200301Ia 45 0 u158986 SIRSI 100228s2008 ua ss b eng d EAL eng ara ART AAS V53 No1 6 Elbatawi, I. E. Annals of agricultural science, 2008 v. 53 (1) [electronic resource] 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. Includes reference. 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. Summary in Arabic. Rice Quality. Rice Hulling Near infrared spectroscopy Infrared radiation. Arafa, G. K. Annals of agricultural science. 2008.v.53(1) 0570-1783 nnas u157971 http://nile.enal.sci.eg/EALE/2009/AAS/5308/1/77.pdf Full Text Article 1 AR lcc 36608 36608