Making wood inspection easier: FTIR spectroscopy and machine learning for Brazilian native commercial wood species identification
Everton Jesus, Thiago França, Camila Calvani, Miller Lacerda, Daniel A. Gonçalves, Samuel L. Oliveira, Bruno Marangoni, Cícero Cena
Abstract
). The results showed the great potential of FTIR and multivariate analysis for wood sample classification; here, the Linear SVM differentiated the five wood species with an accuracy of 98%. The developed method allows industries, laboratories, companies, and control bodies to identify the nature of the wood product after being extracted and semi-manufactured.
Topics & Concepts
SawdustSpecies identificationFourier transform infrared spectroscopyIdentification (biology)WoodworkingSpectroscopyPulp and paper industryComputer scienceArtificial intelligencePattern recognition (psychology)Materials scienceEngineeringBotanyChemical engineeringBiologyPhysicsMechanical engineeringGeneticsQuantum mechanicsWood and Agarwood ResearchWood Treatment and PropertiesCultural Heritage Materials Analysis