Source: Journal for Nature Conservation. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, BIODIVERSIDADE, ECOSSISTEMAS TERRESTRES, INVASÃO BIOLÓGICA, PINHEIRO, SENSORIAMENTO REMOTO
ABNT
FERREIRA, Giovanna de Andrade et al. Solution for diagnostics of biological invasion in terrestrial ecosystems: how can deep learning help biodiversity conservation?. Journal for Nature Conservation, v. 89, p. 1-10, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.jnc.2025.127066. Acesso em: 07 out. 2025.APA
Ferreira, G. de A., Viveiros, J. M. S. M., Santoro, G. B., Amaral, V. C., Ferreira, M. P., Brancalion, P. H. S., & Molin, P. G. (2026). Solution for diagnostics of biological invasion in terrestrial ecosystems: how can deep learning help biodiversity conservation? Journal for Nature Conservation, 89, 1-10. doi:10.1016/j.jnc.2025.127066NLM
Ferreira G de A, Viveiros JMSM, Santoro GB, Amaral VC, Ferreira MP, Brancalion PHS, Molin PG. Solution for diagnostics of biological invasion in terrestrial ecosystems: how can deep learning help biodiversity conservation? [Internet]. Journal for Nature Conservation. 2026 ; 89 1-10.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jnc.2025.127066Vancouver
Ferreira G de A, Viveiros JMSM, Santoro GB, Amaral VC, Ferreira MP, Brancalion PHS, Molin PG. Solution for diagnostics of biological invasion in terrestrial ecosystems: how can deep learning help biodiversity conservation? [Internet]. Journal for Nature Conservation. 2026 ; 89 1-10.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jnc.2025.127066