Fast Classification Method of Black Goji Berry (<i>Lycium Ruthenicum</i> Murr.) Based on Hyperspectral and Ensemble Learning

Wei LU; Miao-miao CAI; Qiang ZHANG; Shan LI

doi:10.3964/j.issn.1000-0593(2021)07-2196-09

Spectroscopy and Spectral Analysis, Volume. 41, Issue 7, 2196(2021)

Fast Classification Method of Black Goji Berry (Lycium Ruthenicum Murr.) Based on Hyperspectral and Ensemble Learning

Wei LU^1、1;, Miao-miao CAI^1、1;, Qiang ZHANG^2、2;, and Shan LI^3、3;

¹1. Jiangsu Provincial Laboratory of Modern Facility Agriculture Technology and Equipment Engineering, College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China

²2. School of Water Resources and Hydropower, Qinghai University, Xining 810016, China

³3. School of Life Science and Technology, Tongji University, Shanghai 200092, China

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References(5)

[2] L Chen, B Chu, J He et al. Molecules, 23, 2395(2018).

[5] M Chao, J Zhang, S Zhu et al. Sensors, 19, 5225(2019).

[6] Y Xu, C Zhang, H Zhang et al. Infrared Physics & Technology, 102, 103034(2019).

[7] Y Huang, N Reddy K, J Zhang et al. Pest Management Science, 75, 3260(2019).

[8] H Ahn D, Y Choi J, C Kim H et al. Sensors, 19, 1560(2019).

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[1] JU Wei, LU Chang-hua, ZHANG Yu-jun, CHEN Xiao-jing, JIANG Wei-wei. Research on Quantitative Regression Method of IR Spectra of Organic Compounds Based on Ensemble Learning With Wavelength Selection[J]. Spectroscopy and Spectral Analysis, 2023, 43(1): 239

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Wei LU, Miao-miao CAI, Qiang ZHANG, Shan LI. Fast Classification Method of Black Goji Berry (Lycium Ruthenicum Murr.) Based on Hyperspectral and Ensemble Learning[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2196

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Paper Information

Category: Research Articles

Received: May. 16, 2020

Accepted: --

Published Online: Sep. 8, 2021

The Author Email:

DOI:10.3964/j.issn.1000-0593(2021)07-2196-09

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