Spectroscopy and Spectral Analysis, Volume. 39, Issue 1, 223(2019)
Study on Detection Method of Wheat Unsound Kernel Based on Near-Infrared Hyperspectral Imaging Technology
[1] [1] Serranti S, Cesare D, Bonifazi G. Biosystems Engineering, 2013, 115(1): 20.
[2] [2] Delwich S R, Kim M S. Sensing and Instrumentation for Food Quality and Safety, 2011, 5: 63.
[3] [3] Senthilkumar T, Jayas D S, White N D G. Journal of Stored Products Research, 2016, 65: 30.
[4] [4] Rahman Anisur, Cho Byoung-Kwan. Seed Science Research, 2016, 26: 285.
[5] [5] Dong Gao, Guo Jian, Wang Cheng. International Journal of Agricultural and Biological Engineering, 2017, 10(2): 251.
[7] [7] Shahin M A, Symons S J. Journal of Food Measurement and Characterization, 2012, 6: 3.
[8] [8] Singh C B, Jayas D S, Paliwal J, et al. International Journal of Food Properties, 2012, 15: 11.
[9] [9] Huang Min, Tang Jinya, Yang Bao. Computers and Electronics in Agriculture, 2016, 122: 139.
[10] [10] Tian Minglu, Ban Songtao, Chang Qingrui. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(21): 102.
[12] [12] Huang Min, He Chujie, Zhu Qibing. Applied Sciences, 2016, 6: 183.
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LIU Huan, WANG Ya-qian, WANG Xiao-ming, AN Dong, WEI Yao-guang, LUO Lai-xin, CHEN Xing, YAN Yan-lu. Study on Detection Method of Wheat Unsound Kernel Based on Near-Infrared Hyperspectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2019, 39(1): 223
Received: Dec. 26, 2017
Accepted: --
Published Online: Mar. 17, 2019
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