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Communication Dans Un Congrès Année : 2022

Early BRD detection in young cattle

Résumé

This paper proposes an algorithm to detect bovine respiratory disease (BRD) 24 hours before the onset of clinical signs. The algorithm uses signals from a collar, a pedometer and an intraruminal bolus. The algorithm using only the collar and pedometer signals resulted in Se=75% and Sp=74%; this performance increased to Se=75% and Sp=76% when the ruminal temperature signal was added
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Dates et versions

hal-04536495 , version 1 (08-04-2024)

Identifiants

  • HAL Id : hal-04536495 , version 1

Citer

Didier Concordet, Marlène Guiadeur, Béatrice Mounaix, Clément Allain, Sébastien Assié, et al.. Early BRD detection in young cattle. 10. European Conference on Precision Livestock Farming (ECPLF), Aug 2022, Vienne, Austria. pp.800-807. ⟨hal-04536495⟩
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