Cattle weight estimation from dense point clouds.
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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.
Na publicação: Jayme Barbedo, Luciana Romani, Edson Bolfe. ICEIS 2026.
Na publicação: Jayme Barbedo, Luciana Romani, Edson Bolfe. ICEIS 2026.
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Estrutura a partir do movimento, Reconstrução 3D, Pecuária de precisão, Estimativa de peso, Structure-from-Motion, 3D Reconstruction, Precision livestock, Gado de Corte, Unmanned aerial vehicles, Cattle