Spectroscopy and Spectral Analysis, Volume. 39, Issue 10, 3273(2019)
Identification of Rice Varieties Based on Hyperspectral Image
[2] [2] Onoyama H, Ryu C, Suguri M, et al. Precision Agriculture, 2017, (5): 1.
[3] [3] Crichton S O, Kirchner S M, Porley V, et al. Meat Science, 2017, 129: 20.
[4] [4] Bao Y D, Na C, Yong H E, et al. Optics & Precision Engineering, 2015, 23(2): 349.
[5] [5] Wang L, Liu D, Pu H, et al. Food Analytical Methods, 2015, 8(2): 515.
[7] [7] Sun J, Jiang S, Mao H, et al. International Journal of Food Properties, 2016, 19(8): 1687.
[8] [8] Roy A, Singha J, Manam L, et al. Let Image Processing, 2017, 11(6): 352.
[9] [9] Isaza C, Anaya K, Paz J Z, et al. Multimed Tools & Applications, 2018, 77(2): 2593.
[10] [10] Zhang C, Xie Y, Liu D, et al. IEEE Transactions on Image Processing, 2017, 26(3): 1355.
Get Citation
Copy Citation Text
Yang Sicheng, Shu Zaixi, Cao Yang. Identification of Rice Varieties Based on Hyperspectral Image[J]. Spectroscopy and Spectral Analysis, 2019, 39(10): 3273
Received: Jul. 17, 2018
Accepted: --
Published Online: Sep. 15, 2020
The Author Email: Yang Cao (cy@chinagrain.org)