Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle (2026)
- Authors:
- USP affiliated authors: LIANG, ZHAO - FFCLRP ; VALEM, LUCAS PASCOTTI - ICMC ; YAN, JIANGLONG - ICMC
- Unidades: FFCLRP; ICMC
- DOI: 10.1016/j.compag.2026.111559
- Subjects: APRENDIZAGEM PROFUNDA; VISÃO COMPUTACIONAL; AERONAVES NÃO TRIPULADAS; PECUÁRIA DE CORTE; ZOOTECNIA DE PRECISÃO
- Keywords: UAV imagery; Cattle growth monitoring and modeling; Morphological feature extraction; Automatic cattle selection; Precision livestock farming
- Agências de fomento:
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
02. Fome zero e agricultura sustentável
- Imprenta:
- Source:
- Título: Computers and Electronics in Agriculture
- ISSN: 0168-1699
- Volume/Número/Paginação/Ano: v. 245, p. 1-15, Apr. 2026
- Status:
- Artigo aberto em periódico híbrido (Hybrid Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
JIANGLONG, Yan et al. Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle. Computers and Electronics in Agriculture, v. 245, p. 1-15, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2026.111559. Acesso em: 06 maio 2026. -
APA
Jianglong, Y., Tetila, E. C., Liang, Z., Gonçalves, R. C., Castanheiro, L. F., Valem, L. P., & Barbedo, J. G. A. (2026). Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle. Computers and Electronics in Agriculture, 245, 1-15. doi:10.1016/j.compag.2026.111559 -
NLM
Jianglong Y, Tetila EC, Liang Z, Gonçalves RC, Castanheiro LF, Valem LP, Barbedo JGA. Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle [Internet]. Computers and Electronics in Agriculture. 2026 ; 245 1-15.[citado 2026 maio 06 ] Available from: https://doi.org/10.1016/j.compag.2026.111559 -
Vancouver
Jianglong Y, Tetila EC, Liang Z, Gonçalves RC, Castanheiro LF, Valem LP, Barbedo JGA. Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle [Internet]. Computers and Electronics in Agriculture. 2026 ; 245 1-15.[citado 2026 maio 06 ] Available from: https://doi.org/10.1016/j.compag.2026.111559 - Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks
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