Cargando…
Prediction approach of larch wood density from visible–near-infrared spectroscopy based on parameter calibrating and transfer learning
Wood density, as a key indicator to measure wood properties, is of weighty significance in enhancing wood utilization and modifying wood properties in sustainable forest management. Visible–near-infrared (Vis-NIR) spectroscopy provides a feasible and efficient solution for obtaining wood density by...
Autores principales: | Zhang, Zheyu, Li, Yaoxiang, Li, Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577256/ https://www.ncbi.nlm.nih.gov/pubmed/36267936 http://dx.doi.org/10.3389/fpls.2022.1006292 |
Ejemplares similares
-
Comparison of various chemometric methods on visible and near-infrared spectral analysis for wood density prediction among different tree species and geographical origins
por: Li, Ying, et al.
Publicado: (2023) -
Determination of Leaf Water Content by Visible and Near-Infrared Spectrometry and Multivariate Calibration in Miscanthus
por: Jin, Xiaoli, et al.
Publicado: (2017) -
Understanding the Formation of Heartwood in Larch Using Synchrotron Infrared Imaging Combined With Multivariate Analysis and Atomic Force Microscope Infrared Spectroscopy
por: Piqueras, Sara, et al.
Publicado: (2020) -
Near Infrared Spectroscopy Calibration for Wood Chemistry: Which Chemometric Technique Is Best for Prediction and Interpretation?
por: Via, Brian K., et al.
Publicado: (2014) -
Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves
por: Xiao, Qinlin, et al.
Publicado: (2022)