New AI system EweAcT monitors sheep behavior using accelerometer data

Researchers have developed EweAcT, a system that uses accelerometer data and artificial intelligence to monitor sheep behavior in extensive grazing systems. The system requires large datasets of annotated accelerometer data to train accurate prediction models. The EweAcT dataset includes 79 hours of tri-axial accelerometer data aligned with manually annotated behaviors from 120 Romane ewes, collected under various extensive conditions in southern France. AI

IMPACT This research could lead to more sophisticated AI models for livestock management and welfare monitoring.

RANK_REASON The cluster contains an academic paper detailing a new system and dataset for animal behavior monitoring. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• Aveyron
• Behavioral Observation Research Interactive Software
• EweAcT
• National Research Institute for Agriculture, Food and the Environment
• Python
• Romane
• Saint-Jean-et-Saint-Paul

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• other

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