Prediction of Seabuckthorn Seed Oil Content by Raman Spectroscopy based on FA-XGBoost Algorithm

WANG Zhao; LIU Bin; WU jun

doi:10.13883/j.issn1004-5929.202501011

The Journal of Light Scattering, Volume. 37, Issue 1, 77(2025)

Prediction of Seabuckthorn Seed Oil Content by Raman Spectroscopy based on FA-XGBoost Algorithm

WANG Zhao^1、*, LIU Bin², and WU jun³

Author Affiliations

¹Henan vocational college of nursing, Anyang 455000, China

²Key Laboratory of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing 100083, China

³Chinese Academy of Agricultural Mechanization Sciences Group Co, Ltd. Beijing 100083, China

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WANG Zhao, LIU Bin, WU jun. Prediction of Seabuckthorn Seed Oil Content by Raman Spectroscopy based on FA-XGBoost Algorithm[J]. The Journal of Light Scattering, 2025, 37(1): 77

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Paper Information

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Received: May. 13, 2024

Accepted: Apr. 30, 2025

Published Online: Apr. 30, 2025

The Author Email: WANG Zhao (wangzhaohappy1980@163.com)

DOI:10.13883/j.issn1004-5929.202501011

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology