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TruaceTracing the truth around AITuesday, September 1, 2026
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Other·G Space·Evidence-backed gain·Published 2026-09-01

Precision Livestock Farming Technologies for Sheep Welfare in Extensive Systems: A Comprehensive Review

Abstract: Background Ensuring animal welfare in extensive sheep production systems remains challenging due to large grazing areas, limited human supervision and the difficulty of detecting early signs of health or behavioural problems. Precision Livestock Farming (PLF) technologies have emerged as promising tools to enhance monitoring and welfare assessment in such environments. Objective This review examines recent advances in PLF technologies and their potential contribution to improving sheep welfare in extensive farmi…

TRV-2026-0951Peer-reviewedPermanent record — cite & verify
Precision Livestock Farming Technologies for Sheep Welfare in Extensive Systems: A Comprehensive Review

"Computer server room at NWS Elko" by Famartin, CC BY-SA 4.0.

The quick read

This peer-reviewed review from September 2026 synthesized more than 35 studies on precision livestock farming for extensive sheep production, where large grazing areas and limited supervision make early health detection difficult. It assessed wearable sensors, GPS collars, computer vision, AI and environmental monitoring including drones and ground-based sensors.

The synthesis matters because it quantifies monitoring gains that could improve welfare, productivity and sustainability, while also showing why those gains have not yet scaled. Uncertainty remains about cost-effective deployment, standardized welfare indicators and participatory design needed for wider farmer adoption.

Main points
  • Review synthesized more than 35 peer-reviewed studies on wearable sensors, computer vision, artificial intelligence and environmental monitoring for sheep.
  • Integration of remote sensing tools, drones and ground-based sensors improves monitoring of grazing patterns, social behaviour and environmental conditions.
  • Background challenge is large grazing areas, limited human supervision and difficulty detecting early signs of health or behavioural problems.
Gain

Wearable PLF sensors achieved up to 85% accuracy for lameness detection and over 97% accuracy for stress-related physiological changes in extensive sheep systems.

The rundown

The review examined wearable devices including accelerometers and GPS collars, plus computer vision and environmental monitoring, for behavioural and physiological assessment in sheep.

By the September 2026 publication date, the literature reported up to 85% accuracy for lameness detection and over 97% accuracy for stress-related changes, while noting that cost, technical constraints and farmer awareness still limit adoption.

Sources

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