Nondestructive Detecting Rottenness Defect of Citrus By Using Hyper-Spectra Imaging Technology

CHU Bing-quan; ZHANG Hai-liang; LUO Wei; HE Yong

doi:10.3964/j.issn.1000-0593(2017)08-2551-05

Spectroscopy and Spectral Analysis, Volume. 37, Issue 8, 2551(2017)

Nondestructive Detecting Rottenness Defect of Citrus By Using Hyper-Spectra Imaging Technology

CHU Bing-quan^1、*, ZHANG Hai-liang^1,2, LUO Wei², and HE Yong¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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References(7)

[2] [2] Li J, Huang W, Tian X, et al. Computers and Electronics in Agriculture, 2016, 127: 582.

[3] [3] Shi J Y, Hu X T, Zou X B, et al. Food Chemistry, 2017, 229(15): 235.

[4] [4] Kamruzzaman M, Makino Y, Oshita S. Journal of Food Engineering, 2016, 170: 8.

[5] [5] Kumar A, Lee W S, Ehsani R J, et al. Journal of Applied Remote Sensing, 2012, 6(1): 063542.

[6] [6] ElMasry G, Wang N, Vigneault C, et al. LWT-Food Science and Technology, 2008, 41(2): 337.

[7] [7] Ariana D P, Lu R F, Guyer D E. Computers and Electronics in Agriculture, 2006, 53(1): 60.

[8] [8] Gómez-Sanchis J, Gómez-Chova L, Aleixos N, et al. Journal of Food Engineering, 2008, 89(1): 80.

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CHU Bing-quan, ZHANG Hai-liang, LUO Wei, HE Yong. Nondestructive Detecting Rottenness Defect of Citrus By Using Hyper-Spectra Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2017, 37(8): 2551

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Paper Information

Received: Mar. 13, 2017

Accepted: --

Published Online: Aug. 30, 2017

The Author Email: Bing-quan CHU (chubingquan10@163.com)

DOI:10.3964/j.issn.1000-0593(2017)08-2551-05

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