Comparison of two forensic wood identification technologies for ten Meliaceae woods: computer vision versus mass spectrometry

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniv Wisconsin-
Autor(es): dc.contributorUS Forest Serv-
Autor(es): dc.contributorPurdue Univ-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorRavindran, Prabu-
Autor(es): dc.creatorWiedenhoeft, Alex C.-
Data de aceite: dc.date.accessioned2022-02-22T00:05:58Z-
Data de disponibilização: dc.date.available2022-02-22T00:05:58Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-07-04-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s00226-020-01178-1-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/195489-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/195489-
Descrição: dc.descriptionA wealth of forensic wood identification technologies has been developed or improved in recent years, with many attempts to compare results between technologies. The utility of such comparisons is greatly reduced when the species tested with each technology are different and when performance metrics are not calculated or presented in the same way. Here, a species-level XyloTron computer vision model is presented along with a side-by-side comparison for species- and genus-level identification of the 10 species of Meliaceae studied by Deklerck et al. using mass spectrometry. The species-level accuracies of the XyloTron model and the mass spectrometry models are comparable, while the genus-level accuracy of the XyloTron model is higher than that of the mass spectrometry model. The paper concludes with a call for better practices to compare disparate forensic wood identification technologies from a performance driven perspective.-
Descrição: dc.descriptionUniv Wisconsin, Dept Bot, Madison, WI 53706 USA-
Descrição: dc.descriptionUS Forest Serv, Forest Prod Lab, Ctr Wood Anat Res, USDA, Madison, WI 53726 USA-
Descrição: dc.descriptionPurdue Univ, Dept Forestry & Nat Resources, W Lafayette, IN 47907 USA-
Descrição: dc.descriptionUniv Estadual Paulista Botucatu, Ciencias Biol Bot, Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista Botucatu, Ciencias Biol Bot, Sao Paulo, Brazil-
Formato: dc.format1139-1150-
Idioma: dc.languageen-
Publicador: dc.publisherSpringer-
Relação: dc.relationWood Science And Technology-
???dc.source???: dc.sourceWeb of Science-
Título: dc.titleComparison of two forensic wood identification technologies for ten Meliaceae woods: computer vision versus mass spectrometry-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.