ReviewAnimals : an open access journal from MDPI2020
Animal Welfare Management in a Digital World.
Review in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review on Commercially Available and Validated Sensor Technologies for Welfare Assessment of Dairy Cattle.Frontiers in veterinary science · 2021Pooled it
- Precision Livestock Farming Technologies for Sheep Welfare in Extensive Systems: A Comprehensive Review.Veterinary medicine and science · 2026Review
- Investigating the Association Between Salivary Profiles, Production-Related Variables, and Daily Lying Time in Dairy Cows: A Pilot Study.Animals : an open access journal from MDPI · 2026Article
- Design Considerations, Field Validation and Perspectives of a Low-Power Wearable Sensor Collar for Continuous Monitoring of Ruminants.Sensors (Basel, Switzerland) · 2026Article
- Big data and artificial intelligence in animal nutrition: a new era of precision feeding.Tropical animal health and production · 2026Review
- Facial phenotyping of Holstein calves using pose estimation models with varying keypoints.JDS communications · 2026Article
- Modernizing Livestock Operations: Smart Feedlot Technologies and Their Impact.Animals : an open access journal from MDPI · 2026Review
- Animal Welfare Monitor: Raising the Bar for Species-Specific Welfare Evaluation Using Welfare QualityAnimals : an open access journal from MDPI · 2026Article
- A Supervised Deep Learning Model Was Developed to Classify Nelore Cattle (Animals : an open access journal from MDPI · 2026Article
- Sustainability and future outlook of the Philippine pig industry.Journal of advanced veterinary and animal research · 2025Article
- The right fit: A decision tree to select a protocol for assessing the welfare of laying hens.Poultry science · 2025Review
- Precision Livestock Farming Applied to Swine Farms-A Systematic Literature Review.Animals : an open access journal from MDPI · 2025Review
- Beyond the Camera Trap: A Systematic Review of Computing Technology Used to Monitor and Interact with (More) Varied Taxa in Zoos and Aquariums.Animals : an open access journal from MDPI · 2025Review
- Modern Technologies for Improving Broiler Production and Welfare: A Review.Animals : an open access journal from MDPI · 2025Review
- Use of animal-mounted accelerometers to identify positive welfare in dairy cattle.Dairy science and management · 2025Article
- Impact of Automation Level of Dairy Farms in Northern and Central Germany on Dairy Cattle Welfare.Animals : an open access journal from MDPI · 2024Article
- Duckweeds as edible vaccines in the animal farming industry.3 Biotech · 2024Review
- Deep learning pose detection model for sow locomotion.Scientific reports · 2024Article
- An Integrated Gather-and-Distribute Mechanism and Attention-Enhanced Deformable Convolution Model for Pig Behavior Recognition.Animals : an open access journal from MDPI · 2024Article
- Human-computer interactions with farm animals-enhancing welfare through precision livestock farming and artificial intelligence.Frontiers in veterinary science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although there now exists a wide range of policies, instruments and regulations, in Europe and increasingly beyond, to improve and safeguard the welfare of farmed animals, there remain persistent and significant welfare issues in virtually all types of animal production systems ranging from high prevalence of lameness to limited possibilities to express natural behaviours. Protocols and indicators, such as those provided by Welfare Quality, mean that animal welfare can nowadays be regularly measured and surveyed at the farm level. However, the digital revolution in agriculture opens possibilities to quantify animal welfare using multiple sensors and data analytics. This allows daily monitoring of animal welfare at the group and individual animal level, for example, by measuring changes in behaviour patterns or physiological parameters. The present paper explores the potential for developing innovations in digital technologies to improve the management of animal welfare at the farm, during transport or at slaughter. We conclude that the innovations in Precision Livestock Farming (PLF) offer significant opportunities for a more holistic, evidence-based approach to the monitoring and surveillance of farmed animal welfare. To date, the emphasis in much PLF technologies has been on animal health and productivity. This paper argues that this emphasis should not come to define welfare. What is now needed is a coming together of industry, scientists, food chain actors, policy-makers and NGOs to develop and use the promise of PLF for the creative and effective improvement of farmed animal welfare.
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What OpenQuestion holds
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 OpenQuestion graph.