• Journal of Infrared and Millimeter Waves
  • Vol. 28, Issue 5, 353 (2009)
LIANG Liang1、2、3, LIU Zhi-Xiao2, YANG Min-Hua1, ZHANG You-Xiang2, and WANG Cheng-Hua4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • show less
    DOI: Cite this Article
    LIANG Liang, LIU Zhi-Xiao, YANG Min-Hua, ZHANG You-Xiang, WANG Cheng-Hua. DISCRIMINATION OF VARIETY AND AUTHENTICITY FOR RICE BASED ON VISUAL/NEAR INFRARED REFLECTION SPECTRA[J]. Journal of Infrared and Millimeter Waves, 2009, 28(5): 353 Copy Citation Text show less
    References

    [7] Delwiche S R, Bean M M, Miller R E, et al . Apparent am- ylose content of milled rice by near-infrared reflectance spectrophotometry[J]. Cereal Chemistry, 1995, 72 :182— 187.

    [8] Bao J S, Cai Y Z, Corke H. Prediction of rice starch quality parameters by near-infrared reflectance spectroscopy[J]. Food Science, 2001, 66 :936—939.

    [9] Wu J G, Shi C H, Zhang X M. Estimating the amino acid composition in the milled rice powder by near-infrared re- flectance spectroscopy[J]. Field Crops Research, 2002, 75 : 1—7.

    [13] Haykin S. Neural network-a comprehensive foundation [M]. New York, USA: Macmillan College Publishing Company, 1994, 1—44.

    [15] Workman J. Handbook of Organic Compounds: NIR, IR, Raman, and UV-VIS Spectra Featuring Polymers and Sur- factants [M]. San Diego, USA: Academic Press, 2001: 77—197.

    [16] Sasic S, Ozaki Y. Short-wave near-infrared spectroscopy of biological fluids. 1In Quantitative analysis of fat, protein, and lactose in raw milk by partial least-squares regression and band assignment[J]. Anal Chem., 2001, 73 :64—71.

    LIANG Liang, LIU Zhi-Xiao, YANG Min-Hua, ZHANG You-Xiang, WANG Cheng-Hua. DISCRIMINATION OF VARIETY AND AUTHENTICITY FOR RICE BASED ON VISUAL/NEAR INFRARED REFLECTION SPECTRA[J]. Journal of Infrared and Millimeter Waves, 2009, 28(5): 353
    Download Citation