Advancing holocellulose content prediction in Chinese fir via transfer learning and Raman integration
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10570-024-06033-1.pdf
Reference52 articles.
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3. Agarwal UP (2013b) Analysis of cellulose and lignocellulose materials by Raman spectroscopy: a review of the current status. Molecules 2019(24):1659. https://doi.org/10.3390/molecules24091659
4. Agarwal UP, Atalla RH (1986) In-situ Raman microprobe studies of plant cell walls: Macromolecular organization and compositional variability in the secondary wall of Picea mariana (Mill.) B.S.P. Planta 169:325–332. https://doi.org/10.1007/BF00392127
5. Agarwal UP, Ralph SA (1997) FT-Raman spectroscopy of wood: identifying contributions of lignin and carbohydrate polymers in the spectrum of black spruce (Picea mariana). Appl Spectrosc 51:1648–1655. https://doi.org/10.1366/0003702971939316
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