Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502] (2024)
- Authors:
- USP affiliated authors: SILVA, IRAN JOSE OLIVEIRA DA - ESALQ ; SILVEIRA, ROBSON MATEUS FREITAS - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.compag.2024.108673
- Subjects: ADAPTAÇÃO ANIMAL; ALGORITMOS; APRENDIZADO COMPUTACIONAL; INTELIGÊNCIA ARTIFICIAL; PRODUÇÃO ANIMAL; REGULAÇÃO DA TEMPERATURA CORPORAL ANIMAL; SENSOR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- TÃtulo: Computers and Electronics in Agriculture
- ISSN: 0168-1699
- Volume/Número/Paginação/Ano: v. 218, art. 108673, p. 1, 2024
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVEIRA, Robson Mateus Freitas et al. Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502]. Computers and Electronics in Agriculture, v. 218, p. 1, 2024Tradução . . DisponÃvel em: https://doi.org/10.1016/j.compag.2024.108673. Acesso em: 10 fev. 2026. -
APA
Silveira, R. M. F., Façanha, D. A. E., McManus, C., Bermejo Asensio, L. A., & Silva, I. J. O. da. (2024). Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502]. Computers and Electronics in Agriculture, 218, 1. doi:10.1016/j.compag.2024.108673 -
NLM
Silveira RMF, Façanha DAE, McManus C, Bermejo Asensio LA, Silva IJO da. Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502] [Internet]. Computers and Electronics in Agriculture. 2024 ; 218 1.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1016/j.compag.2024.108673 -
Vancouver
Silveira RMF, Façanha DAE, McManus C, Bermejo Asensio LA, Silva IJO da. Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502] [Internet]. Computers and Electronics in Agriculture. 2024 ; 218 1.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1016/j.compag.2024.108673 - Thermal performance of a low-profile cross-ventilated freestall dairy barn with evaporative cooling pads in a hot and humid climate
- The impact of training on stockpersons’ behaviour and cows’ fear response
- Corrigendum to: "Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals" [Comput. Electron. Agric. 216 (2024) 108502]
- Machine intelligence applied to sustainability: asystematic methodological proposal to identify sustainable animals
- Intelligent methodologies: An integrated multi-modeling approach to predict adaptive mechanisms in farm animals
- Thermoregulatory, behavioral, and productive responses and physical integrity of primiparous and multiparous cows on compost barn in Brazilian tropical conditions
- Use of robotics in broiler production systems: a relationship between technology, environment and production
- Spatial modeling via geostatistics of the bed in a compost barn system: thermal performance assessments
- Physiological adaptability of livestock to climate change: a global model-based assessment for the 21st century
- Use of multi-agent systems and the Internet of Things to monitor the environment of commercial broiler poultry houses through specific air enthalpy
Informações sobre o DOI: 10.1016/j.compag.2024.108673 (Fonte: oaDOI API)
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