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)

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

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

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

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

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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

Topics

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