Spectroscopy and Spectral Analysis, Volume. 40, Issue 10, 3254(2020)
Application of Different Smoothing Ensemble CARS Algorithm in Spectral Discrimination of Black Tea Grade
[2] A Boix, J Omar, B Slowikowski. Forensic Science International, 294, 15(2019).
[3] Y Chunling, H Leqian, M Shuai et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 205, 574(2018).
[4] C Dong, J Wang, H Zhu et al. Food Science and Biotechnology, 26, 853(2017).
[5] G Li, J Song, X Yang. J. Sci. Food Agric., 9, 4898(2019).
[6] X Li D, C Wan X, H Wang. China Tea Scienc Society, 13(2005).
[7] Rawat A K S Prateeksha,, N Singh B et al. Critical Reviews in Food Science and Nutrition, 57, 1394(2017).
[8] C Dasgupta S, A Dey, A Gomes. Pharmacognosy Magazine, 13, S769(2017).
[9] D Dong X, Y Ji H, S Yu S et al. Journal of Food Measurement and Characterization, 13, 1620(2019).
[10] A Cavazza, C Lantano, M Rinaldi. Journal of Food Science and Technology, 52, 8276(2015).
[11] D Bhaskar, H Bhawsar, I Dash, M Sahoo. Bioresource Technology Reports, 4, 209(2018).
[13] R Hu, H Wang S, Y Zhao et al. Chinese Journal of Analytical Chemistry, 47, e19034(2019).
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Li YUAN, Bin SHI, Jian-cheng YU, Tian-yu TANG, Yuan YUAN, Yan-lin TANG. Application of Different Smoothing Ensemble CARS Algorithm in Spectral Discrimination of Black Tea Grade[J]. Spectroscopy and Spectral Analysis, 2020, 40(10): 3254
Category: Research Articles
Received: Aug. 22, 2019
Accepted: --
Published Online: Jun. 18, 2021
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