Title:	Cattle weight estimation from dense point clouds.
Authors:	CASTANHEIRO, L. TETILA, E. FURUYA, D. SILVA, J. P. da BARBEDO, J. G. A. ROMANI, L. A. S. BOLFE, E. L.
Affiliation:	LETÍCIA CASTANHEIRO; EVERTON TETILA; DANIELLE FURUYA; JOÃO PAULO DA SILVA; JAYME GARCIA ARNAL BARBEDO, CNPTIA; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; EDSON LUIS BOLFE, CNPTIA.
Date Issued:	2026
Citation:	INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, 28., 2026, Benidorm. ICEIS 2026: final program and book of abstracts. Setúbal: SCITEPRESS - Science and Technology Publications, 2026. p. 59-60.
Description:	Abstract: Cattle weight is essential for decision-making in precision livestock farming, directly supporting nutrition management, animal welfare, and production efficiency. Existing methods rely on close-range measurements or manual intervention, limiting scalability. This work proposes an workflow for cattle weight estimation based on point clouds derived from aerial images. RGB images acquired at low altitude were processed using Structure from Motion (SfM) techniques to generate dense point clouds.
Thesagro:	Gado de Corte
NAL Thesaurus:	Unmanned aerial vehicles Cattle
Keywords:	Estrutura a partir do movimento Reconstrução 3D Pecuária de precisão Estimativa de peso Structure-from-Motion 3D Reconstruction Precision livestock
Notes:	Na publicação: Jayme Barbedo, Luciana Romani, Edson Bolfe. ICEIS 2026.
Type of Material:	Resumo em anais e proceedings
Access:	openAccess
Appears in Collections:	Resumo em anais de congresso (CNPTIA)