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Detecting rice quality as influenced by hulling visible and near-infrared spectroscopy[electronic resource].

By:

Elbatawi, I. E

Contributor(s):

Arafa, G. K

Language: English Summary language: Arabic Description: p.77-88Other title:

الكشف على جودة محصول الأرز والتى تتأثر بعملية التقشير وذلك باستخدام التحليل الطيفى للأشعة تحت الحمراء [Added title page title]

Uniform titles:

Annals of agricultural science, 2008 v. 53 (1) [electronic resource]

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In: Annals of agricultural science 2008.v.53(1)Summary: 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.

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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.

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