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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 931-932Determine of Moisture Content for Rough Rice...

Determine of Moisture Content for Rough Rice Single Kernel by Visible/NIR Spectroscopy

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Abstract:

Moisture content (MC) of rough rice directly affects rice quality and its market value. This study applied spectroscopy both in visible 400-700 nm and NIR 700-1050 nm bands to record spectrum of rough rice single kernel (SK). Tainan No.11 medium rice randomly collected from field. After machine harvested, it was used in the tests and they were conditioned by oven to five MC levels ranging from 10.2 to 35.9%. Two regression methods, multiple linear regressions (MLR) and partial least square regression (PLSR), were applied to develop calibration models. Among 7 tested models were found that PLSR model of first differential with 21 gap points, which are r_c=0.98, SEC=1.1% for calibration and r_p=0.96, SEP=1.9% for prediction. The results suggested average accuracy for the best model was about 98.4% in 400-1050 nm wavelength.

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Periodical:

Advanced Materials Research (Volumes 931-932)

Pages:

1549-1554

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.931-932.1549

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Online since:

May 2014

Authors:

Adcha Heman, Ching Lu Hsieh*

Keywords:

Moisture Content, NIR Spectroscopy, Rough Rice, Visible

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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