Source: Journal of Cleaner Production. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, BEM-ESTAR DO ANIMAL, BIOMARCADORES, FENÓTIPOS, PRODUÇÃO ANIMAL, SUSTENTABILIDADE, TOUROS
ABNT
SILVEIRA, Robson Mateus Freitas et al. Machine intelligence applied to sustainability: asystematic methodological proposal to identify sustainable animals. Journal of Cleaner Production, v. 420, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jclepro.2023.138292. Acesso em: 19 out. 2024.APA
Silveira, R. M. F., Façanha, D. A. E., McManus, C. M., Ferreira, J., & Silva, I. J. O. da. (2023). Machine intelligence applied to sustainability: asystematic methodological proposal to identify sustainable animals. Journal of Cleaner Production, 420, 1-13. doi:10.1016/j.jclepro.2023.138292NLM
Silveira RMF, Façanha DAE, McManus CM, Ferreira J, Silva IJO da. Machine intelligence applied to sustainability: asystematic methodological proposal to identify sustainable animals [Internet]. Journal of Cleaner Production. 2023 ; 420 1-13.[citado 2024 out. 19 ] Available from: https://doi.org/10.1016/j.jclepro.2023.138292Vancouver
Silveira RMF, Façanha DAE, McManus CM, Ferreira J, Silva IJO da. Machine intelligence applied to sustainability: asystematic methodological proposal to identify sustainable animals [Internet]. Journal of Cleaner Production. 2023 ; 420 1-13.[citado 2024 out. 19 ] Available from: https://doi.org/10.1016/j.jclepro.2023.138292