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Journals >Laser & Optoelectronics Progress >Volume 55 >Issue 1 >Page 13003 > Article

Laser & Optoelectronics Progress
Vol. 55, Issue 1, 13003 (2018)

Non-Destructive Detection of Bulk Density of Powder Using Hyperspectral Scattering Technique

Yang Yu^*, Xing Yongchun, and Zhu Qibing

Author Affiliations

Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214122, China

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DOI: 10.3788/LOP55.013003 Cite this Article Set citation alerts

Yang Yu, Xing Yongchun, Zhu Qibing. Non-Destructive Detection of Bulk Density of Powder Using Hyperspectral Scattering Technique[J]. Laser & Optoelectronics Progress, 2018, 55(1): 13003 Copy Citation Text

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References

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[11] Zhu Q B, Huang M, Lu R F. Analysis of hyperspectral scattering images using a moment method for apple firmness prediction[J]. Transactions of the American Society of Agricultural and Biological Engineers, 57, 75-83(2014). http://www.researchgate.net/publication/286205549_Analysis_of_hyperspectral_scattering_images_using_a_moment_method_for_apple_firmness_prediction

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[13] Zhu Q B, Xing Y C, Lu R F et al. Visible/shortwave near infrared spectroscopy and hyperspectral scattering for determining bulk density and particle size of wheat flour[J]. Journal of Near Infrared Spectroscopy, 25, 116-126(2017). http://www.researchgate.net/publication/321764999_Visibleshortwave_near_infrared_spectroscopy_and_hyperspectral_scattering_for_determining_bulk_density_and_particle_size_of_wheat_flour

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[16] Jamshidi B, Minaei S, Mohajerani E et al. Reflectance Vis/NIR spectroscopy for nondestructive taste characterization of Valencia oranges[J]. Computers and Electronics in Agriculture, 85, 64-69(2012). http://www.sciencedirect.com/science/article/pii/S0168169912000828

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Yang Yu, Xing Yongchun, Zhu Qibing. Non-Destructive Detection of Bulk Density of Powder Using Hyperspectral Scattering Technique[J]. Laser & Optoelectronics Progress, 2018, 55(1): 13003

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