Machine intelligence applied to sustainability: asystematic methodological proposal to identify sustainable animals (2023)
- Authors:
- USP affiliated authors: SILVA, IRAN JOSE OLIVEIRA DA - ESALQ ; SILVEIRA, ROBSON MATEUS FREITAS - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.jclepro.2023.138292
- Subjects: APRENDIZADO COMPUTACIONAL; BEM-ESTAR DO ANIMAL; BIOMARCADORES; FENÓTIPOS; PRODUÇÃO ANIMAL; SUSTENTABILIDADE; TOUROS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Cleaner Production
- ISSN: 0959-6526
- Volume/Número/Paginação/Ano: v. 420, art. 138292, p. 1-13, July 2023
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 05 jun. 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.2023.138292 -
NLM
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 jun. 05 ] Available from: https://doi.org/10.1016/j.jclepro.2023.138292 -
Vancouver
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 jun. 05 ] Available from: https://doi.org/10.1016/j.jclepro.2023.138292 - Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502]
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Informações sobre o DOI: 10.1016/j.jclepro.2023.138292 (Fonte: oaDOI API)
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