A Multi-Scale Convolutional Neural Network Combined with a Portable Near-Infrared Spectrometer for the Rapid, Non-Destructive Identification of Wood Species

A Multi-Scale Convolutional Neural Network Combined with a Portable Near-Infrared Spectrometer for the Rapid, Non-Destructive Identification of Wood Species

The swift and non-destructive classification of wood species holds crucial significance for the utilization and trade of wood resources. Portable near-infrared (NIR) spectrometers have the potential for rapid and non-destructive wood species identification, and while several studies have explored re...

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Bibliographic Details
Main Authors: Xi Pan, Zhiming Yu, Zhong Yang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Forests
Subjects:
wood species identification
near-infrared spectroscopy
convolutional neural network
machine learning
feature extraction
Online Access:https://www.mdpi.com/1999-4907/15/3/556

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