Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: DENDROMETRIA, EUCALIPTO (CRESCIMENTO E DESENVOLVIMENTO), SENSORIAMENTO REMOTO, MÉTRICAS DE SOFTWARE
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GÖRGENS, Eric Bastos e MONTAGHI, Alessandro e RODRIGUEZ, Luiz Carlos Estraviz. A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics. Computers and Electronics in Agriculture, v. 116, p. 221–227, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2015.07.004. Acesso em: 23 ago. 2024.APA
Görgens, E. B., Montaghi, A., & Rodriguez, L. C. E. (2015). A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics. Computers and Electronics in Agriculture, 116, 221–227. doi:10.1016/j.compag.2015.07.004NLM
Görgens EB, Montaghi A, Rodriguez LCE. A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics [Internet]. Computers and Electronics in Agriculture. 2015 ; 116 221–227.[citado 2024 ago. 23 ] Available from: https://doi.org/10.1016/j.compag.2015.07.004Vancouver
Görgens EB, Montaghi A, Rodriguez LCE. A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics [Internet]. Computers and Electronics in Agriculture. 2015 ; 116 221–227.[citado 2024 ago. 23 ] Available from: https://doi.org/10.1016/j.compag.2015.07.004
