Using Laser Induced Breakdown Spectroscopy and Machine Learning to Identify Jiangxi Spring Tea Harvesting Periods

Lei Tao; Guangyuan Cai; Zhandong Cheng; Lin Huang; Xiuwen He; Jiang Xu; Mingyin Yao

doi:10.3788/LOP231154

Laser & Optoelectronics Progress, Volume. 61, Issue 9, 0930004(2024)

Using Laser Induced Breakdown Spectroscopy and Machine Learning to Identify Jiangxi Spring Tea Harvesting Periods

Lei Tao^1,2, Guangyuan Cai^1,2, Zhandong Cheng^1,2, Lin Huang³, Xiuwen He¹, Jiang Xu^1,2, and Mingyin Yao^1,2、*

Author Affiliations

¹College of Engineering, Jiangxi Agricultural University, Nanchang 330045, Jiangxi, China

²Key Laboratory of Biological Optoelectronics and Application in Jiangxi Universities, Nanchang 330045, Jiangxi, China

³College of Bioscience and Bioengineering, Jiangxi Agricultural University, Nanchang 330045, Jiangxi, China

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Lei Tao, Guangyuan Cai, Zhandong Cheng, Lin Huang, Xiuwen He, Jiang Xu, Mingyin Yao. Using Laser Induced Breakdown Spectroscopy and Machine Learning to Identify Jiangxi Spring Tea Harvesting Periods[J]. Laser & Optoelectronics Progress, 2024, 61(9): 0930004

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Paper Information

Category: Spectroscopy

Received: Apr. 23, 2023

Accepted: Jun. 15, 2023

Published Online: May. 6, 2024

The Author Email: Mingyin Yao (mingyin800@126.com)

DOI:10.3788/LOP231154

CSTR:32186.14.LOP231154

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology