Cattle weight estimation from dense point clouds.

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dc.contributorLETÍCIA CASTANHEIRO; EVERTON TETILA; DANIELLE FURUYA; JOÃO PAULO DA SILVA; JAYME GARCIA ARNAL BARBEDO, CNPTIA; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; EDSON LUIS BOLFE, CNPTIA.
dc.creatorCASTANHEIRO, L.
dc.creatorTETILA, E.
dc.creatorFURUYA, D.
dc.creatorSILVA, J. P. da
dc.creatorBARBEDO, J. G. A.
dc.creatorROMANI, L. A. S.
dc.creatorBOLFE, E. L.
dc.date2026-05-27T13:50:00Z
dc.date2026-05-27T13:50:00Z
dc.date2026-05-27
dc.date2026
dc.date.accessioned2026-07-07T04:18:46Z
dc.descriptionAbstract: 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.
dc.descriptionNa publicação: Jayme Barbedo, Luciana Romani, Edson Bolfe. ICEIS 2026.
dc.identifierINTERNATIONAL 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.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1187157
dc.identifier.urihttp://hdl.handle.net/123456789/457472
dc.languageeng
dc.rightsopenAccess
dc.subjectEstrutura a partir do movimento
dc.subjectReconstrução 3D
dc.subjectPecuária de precisão
dc.subjectEstimativa de peso
dc.subjectStructure-from-Motion
dc.subject3D Reconstruction
dc.subjectPrecision livestock
dc.subjectGado de Corte
dc.subjectUnmanned aerial vehicles
dc.subjectCattle
dc.titleCattle weight estimation from dense point clouds.
dc.typeResumo em anais e proceedings

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