Identification of softwood species using convolutional neural networks and raw near-infrared spectroscopy
Author:
Affiliation:
1. Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing, People’s Republic of China
2. College of Material Science and Engineering, Southwest Forestry University, Kunming, People’s Republic of China
Funder
China National Natural Science Funds
Fundamental Research Funds for Central Public Welfare Research Institutes
Publisher
Informa UK Limited
Subject
General Materials Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/17480272.2022.2130822
Reference43 articles.
1. Convolutional neural networks for vibrational spectroscopic data analysis
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4. The use of near Infrared Spectroscopy to Identify solid wood Specimens of Swietenia Macrophylla0 (Cites Appendix II)
5. Forensic identification of CITES Appendix I Cupressaceae using anatomy and mass spectrometry
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