ReviewVeterinary medicine and science2026
Precision Livestock Farming Technologies for Sheep Welfare in Extensive Systems: A Comprehensive Review.
Review in Veterinary medicine and science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEnsuring 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.
objectiveThis review examines recent advances in PLF technologies and their potential contribution to improving sheep welfare in extensive farming systems.
methodsA synthesis of more than 35 peer-reviewed studies was conducted, focusing on the use of wearable sensors, computer vision, artificial intelligence and environmental monitoring technologies for behavioural and physiological assessment in sheep.
resultsThe reviewed literature indicates that wearable devices, including accelerometers and Global Positioning System (GPS) collars, can achieve up to 85% accuracy in detecting lameness and over 97% accuracy in identifying stress-related physiological changes. Integration of remote sensing tools, drones and ground-based sensors also improves monitoring of grazing patterns, social behaviour and environmental conditions. However, adoption remains limited due to economic costs, technical constraints and limited farmer awareness.
conclusionsAdvances in cost-effective sensors, standardized welfare indicators and participatory technology design may facilitate wider adoption of PLF tools, supporting improved animal welfare, productivity and sustainability in extensive sheep production systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.