Transfer learning improves predictions in lignin content of Chinese fir based on Raman spectra-Reference-Cited by-同舟云学术

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Transfer learning improves predictions in lignin content of Chinese fir based on Raman spectra

Published:2024-06 Issue: Volume:269 Page:132147
ISSN:0141-8130
Container-title:International Journal of Biological Macromolecules
language:en
Short-container-title:International Journal of Biological Macromolecules

Author:

Gao Wenli,Jiang Qianqian,Guan Ying,Huang Huahong,Liu Shengquan,Ling Shengjie,Zhou Liang

Funder

National Natural Science Foundation of China

ShanghaiTech University

Anhui Agriculture University

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference50 articles.

1. Near-infrared spectroscopy enables the genetic analysis of chemical properties in a large set of wood samples from Populus nigra (L.) natural populations;Gebreselassie;Ind. Crop. Prod.,2017

2. Rapid prediction of different wood species extractives and lignin content using near infrared spectroscopy;He;J. Wood Chem. Technol.,2013

3. Use of visible and near infrared spectroscopy to predict klason lignin content of bamboo, Chinese fir, Paulownia, and Poplar;Huang;J. Wood Chem. Technol.,2008

4. Prediction of holocellulose and lignin content of pulp wood feedstock using near infrared spectroscopy and variable selection;Liang;Spectrochim. Acta A Mol. Biomol. Spectrosc.,2020

5. Fourier transform infrared quantitative analysis of sugars and lignin in pretreated softwood solid residues;Tucker,2001

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