Non-Destructive Identification of Wool and Cashmere Fibers Based on Cascade Optimizations of Interval-Wavelength Selection Using NIR Spectroscopy
Near-infrared (NIR) spectroscopy is an effective method for identifying wool and cashmere fibers, with high spectral data providing a wealth of information. However, a key issue is that the accuracy and robustness of subsequent estimates can be reduced by redundant and interfering wavelengths. For t...
Saved in:
Main Authors: | Xin Chen, Qingle Lan, Yaolin Zhu, Jinni Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2024-12-01
|
Series: | Journal of Natural Fibers |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/15440478.2024.2409877 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Non-Destructive Identification of Virgin Cashmere and Chemically Modified Wool Fibers Based on Fractional Order Derivative and Improved Wavelength Extraction Algorithm Using NIR Spectroscopy and Chemometrics
by: Yaolin Zhu, et al.
Published: (2024-12-01) -
Quantitative analysis of wool and cashmere fiber mixtures using NIR spectroscopy
by: Chen Jinni, et al.
Published: (2024-11-01) -
Application of Unsupervised Feature Selection in Cashmere and Wool Fiber Recognition
by: Yaolin Zhu, et al.
Published: (2024-12-01) -
Effect of Melatonin on the Production Performance, Blood Biochemical Parameters, Nutrient Digestibility, and Gastrointestinal Microbiome of Liaoning Cashmere Goats
by: Zibin Zheng, et al.
Published: (2024-11-01) -
From Sheep to Shawl: An Outline of Wool Processing in Florida
by: Diwakar Vyas
Published: (2021-11-01)