Spectroscopy and Spectral Analysis, Volume. 44, Issue 6, 1518(2024)
Rapid Detection of Citrus Huanglongbing Based on Extraction of Characteristic Wavelength of Visible Spectrum and Classification Algorithm
[2] [2] Bové J M. Phytoparasitica, 2014, 42(5): 579.
[3] [3] Bové J M. Journal of Plant Pathology, 2006, 88(1): 7.
[8] [8] Sankaran S, Ehsani R, Etxeberria E. Talanta, 2010, 83(2): 574.
[9] [9] Li Hongdong, Liang Yizeng, Xu Qingsong, et al. Analytica Chimica Acta, 2009, 648(1): 77.
[10] [10] Mirjalili S, Mirjalili S M, Lewis A. Advances in Engineering Software, 2014, 69: 46.
[11] [11] Li Wenbin, Hartung J S, Levy L. Journal of Microbiological Methods, 2006, 66: 104.
[14] [14] Leardi R. Journal of Chemometrics, 2000, 14(5-6): 643.
[15] [15] Deng S, Yeh T H. Expert Systems with Applications, 2010, 37(12): 8417.
[16] [16] Suykens J A K, Gestel T V, Brabanter J D, et al. Least Squares Support Vector Machines. 1st ed. World Scientific, 2002.
Get Citation
Copy Citation Text
QIU Hong-lin, LIU Tian-yuan, KONG Li-li, YU Xin-na, WANG Xian-da, HUANG Mei-zhen. Rapid Detection of Citrus Huanglongbing Based on Extraction of Characteristic Wavelength of Visible Spectrum and Classification Algorithm[J]. Spectroscopy and Spectral Analysis, 2024, 44(6): 1518
Received: Oct. 5, 2022
Accepted: --
Published Online: Aug. 28, 2024
The Author Email: Tian-yuan LIU (tianyuanl@sjtu.edu.cn)