Subjects: ANÁLISE ESPECTRAL, DEFICIT HÍDRICO, DENSIDADE DA MADEIRA, EUCALIPTO, INFRAVERMELHO
ABNT
CHAMBI-LEGOAS, Roger et al. Wood density prediction using near-infrared hyperspectral imaging for early selection of Eucalyptus grandis trees. Trees, v. 37, p. 981–991, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00468-023-02397-2. Acesso em: 03 set. 2024.APA
Chambi-Legoas, R., Tomazello-Filho, M., Vidal, C., & Chaix, G. (2023). Wood density prediction using near-infrared hyperspectral imaging for early selection of Eucalyptus grandis trees. Trees, 37, 981–991. doi:10.1007/s00468-023-02397-2NLM
Chambi-Legoas R, Tomazello-Filho M, Vidal C, Chaix G. Wood density prediction using near-infrared hyperspectral imaging for early selection of Eucalyptus grandis trees [Internet]. Trees. 2023 ; 37 981–991.[citado 2024 set. 03 ] Available from: https://doi.org/10.1007/s00468-023-02397-2Vancouver
Chambi-Legoas R, Tomazello-Filho M, Vidal C, Chaix G. Wood density prediction using near-infrared hyperspectral imaging for early selection of Eucalyptus grandis trees [Internet]. Trees. 2023 ; 37 981–991.[citado 2024 set. 03 ] Available from: https://doi.org/10.1007/s00468-023-02397-2