Rapid identification of wood species using XRF and neural network machine learning

Abstract An innovative approach for the rapid identification of wood species is presented. By combining X-ray fluorescence spectrometry with convolutional neural network machine learning, 48 different wood specimens were clearly differentiated and identified with a 99% accuracy. Wood species identif...

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Autores principales: Aaron N. Shugar, B. Lee Drake, Greg Kelley
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/aef542a3a8534e4ba65b56f076949600
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