Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for the coming decades (2025)
- Authors:
- USP affiliated authors: PIMENTEL, CONCEPTA MARGARET MCMANUS - FMVZ ; SILVA, IRAN JOSE OLIVEIRA DA - ESALQ ; SILVEIRA, ROBSON MATEUS FREITAS - ESALQ
- Unidades: FMVZ; ESALQ
- DOI: 10.1016/j.indic.2024.100563
- Subjects: APRENDIZADO COMPUTACIONAL; BEM-ESTAR DO ANIMAL; BIBLIOMETRIA; MUDANÇA CLIMÁTICA; PRODUÇÃO ANIMAL; SUSTENTABILIDADE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Environmental and Sustainability Indicators
- ISSN: 2665-9727
- Volume/Número/Paginação/Ano: v. 26, art. 100563, p. 1-15, 2025
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SILVEIRA, Robson Mateus Freitas e PIMENTEL, Concepta Margaret Magnus e SILVA, Iran José Oliveira da. Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for the coming decades. Environmental and Sustainability Indicators, v. 26, p. 1-15, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.indic.2024.100563. Acesso em: 28 mar. 2026. -
APA
Silveira, R. M. F., Pimentel, C. M. M., & Silva, I. J. O. da. (2025). Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for the coming decades. Environmental and Sustainability Indicators, 26, 1-15. doi:10.1016/j.indic.2024.100563 -
NLM
Silveira RMF, Pimentel CMM, Silva IJO da. Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for the coming decades [Internet]. Environmental and Sustainability Indicators. 2025 ; 26 1-15.[citado 2026 mar. 28 ] Available from: https://doi.org/10.1016/j.indic.2024.100563 -
Vancouver
Silveira RMF, Pimentel CMM, Silva IJO da. Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for the coming decades [Internet]. Environmental and Sustainability Indicators. 2025 ; 26 1-15.[citado 2026 mar. 28 ] Available from: https://doi.org/10.1016/j.indic.2024.100563 - Coat traits, skin evaporation, and milk production of Majorera and Palmera goats in a temperate region
- Do forage production and ingestive behavior of locally adapted sheep differ from an irrigated silvopastoral system to an irrigated monoculture in the semi-arid region?
- Carcass traits and morphometry, typification of the Longissimus dorsi muscle and non-carcass components of hair lambs: can biscuit bran completely replace corn? A machine learning approach
- Comparative assessment of growth curves in Brazilian white Morada Nova hair sheep breed
- Adaptive dynamics of dairy goats in a temperate region
- Genealogical structure and genetic variability: A step towards conservation of white Morada Nova sheep in semi-arid region
- Proof of concept of a wearable IoT-based system for monitoring respiratory rate and surface temperature in horses
- By-product from biscuit manufacture as corn replacements in sheep diets: nutritional and metabolic traits
- Silvopastoral system as a strategy to mitigate heat stress in sheep in the Brazilian semi-arid region
- Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change
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