Spectroscopy and Spectral Analysis, Volume. 36, Issue 9, 2937(2016)
Study on Multi-Bands Recognition for Varieties of Mutton by Using Hyperspectral Technologies
[3] [3] Qiao J, Ngadi M O, Wang N, et al. Journal of Food Engineering, 2007, 83(1): 10.
[4] [4] Qiao J, Wang N, Ngadi M O, et al. Meat Science, 2007, 76( 1): 1.
[5] [5] Barbin D, Elmasry G, Sun D W, et al. Analytica Chimica Acta, 2012, 719: 30.
[6] [6] Barbin D, Elmasry G, Sun D W, et al. Meat Science, 2012, 90(1): 259.
[7] [7] Wu Jianhu, Peng Yankun, Li Yongyu. Journal of Food Engineering, 2012, 109: 267.
[9] [9] Wu Jianhu, Peng Yankun, Li Yongyu. Journal of Food Engineering, 2012, 109: 267.
[10] [10] Tao Feifei, Peng Yankun, Li Yongyu, et al. Meat Science, 2012, 90: 851.
[11] [11] Mohammed K, Gamal E, Sun Dawen. Innovative Food Science and Emerging Technologies, 2012, 7: 3.
[12] [12] Douglas F B, Gamal E, Sun Dawen. Analytica Chimica Acta, 2012, 719: 30.
[13] [13] Mohammed K, Gamal E, Sun Dawen. Analytica Chimica Acta, 2012, 714: 57.
[14] [14] Mohammed K, Gamal E, Sun Dawen. Journal of Food Engineering, 2011, (104): 332.
[15] [15] Mohammed K, Douglas B, Gamal E, et al. Innovative Food Science and Emerging Technologies, 2012, 8: 28.
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WANG Song-lei, WU Long-guo, MA Tian-lan, CHEN Ya-bin, HE Jian-guo, HE Xiao-guang, KANG Ning-bo. Study on Multi-Bands Recognition for Varieties of Mutton by Using Hyperspectral Technologies[J]. Spectroscopy and Spectral Analysis, 2016, 36(9): 2937
Received: Sep. 29, 2015
Accepted: --
Published Online: Dec. 26, 2016
The Author Email: WANG Song-lei (wangsonglei163@126.com)