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

show less

Abstract Get PDF(in Chinese)

References(2)

[8] [8] Chen T Q, Carlos G. XGBoost: A Scalable Tree Boosting System[C]//ACM SIGKDD Interna-tional Conference on Knowledge Discovery and Data Mining. ACM, 2016: 785-794.

[13] [13] Vongsvivut J, Miller R M, McNaughton D, et al. Rapid Discrimination and Determination of Polyunsaturated Fatty Acid Composition in Marine Oils by FTIR Spectroscopy and Multivariate Data Analysis[J]. Food and bioprocess technology, 2014, 7(8): 2410-2422.

Tools

Get Citation

Copy Citation Text

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

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category:

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