ReviewSensors (Basel, Switzerland)2023
Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Market intelligence for exporting agricultural products to foreign markets: A PRISMA-based bibliometric and systematic review.F1000Research · 2026Pooled it
- Development of food technology for the future prospect of the livestock food industry.Food science of animal resources · 2026Review
- Productive and Reproductive Record Keeping in Low-to-Middle-Income Tropical Livestock Systems: Challenges and Perspectives.Animals : an open access journal from MDPI · 2026Review
- AI-Driven Multimodal Sensing for Early Detection of Health Disorders in Dairy Cows.Animals : an open access journal from MDPI · 2026Article
- Safe Meat, Smart Science: Biotechnology's Role in Antibiotic Residue Removal.Antibiotics (Basel, Switzerland) · 2025Review
- Spatiotemporal Modeling and Intelligent Recognition of Sow Estrus Behavior for Precision Livestock Farming.Animals : an open access journal from MDPI · 2025Article
- Real-Time Auto-Monitoring of Livestock: Quantitative Framework and Challenges.Sensors (Basel, Switzerland) · 2025Review
- Artificial Intelligence-Assisted Selection Strategies in Sheep: Linking Reproductive Traits with Behavioral Indicators.Animals : an open access journal from MDPI · 2025Review
- AI and Data Analytics in the Dairy Farms: A Scoping Review.Animals : an open access journal from MDPI · 2025Review
- Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making.Animals : an open access journal from MDPI · 2025Review
- Safeguarding digital livestock farming - a comprehensive cybersecurity roadmap for dairy and poultry industries.Frontiers in big data · 2025Review
- RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review.Journal of animal science and technology · 2025Review
- Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status.Frontiers in artificial intelligence · 2025Article
- Application of artificial intelligence in rabbit husbandry: from reproductive monitoring to precision farming.Frontiers in veterinary science · 2025Review
- Technologies and Solutions for Cattle Tracking: A Review of the State of the Art.Sensors (Basel, Switzerland) · 2024Review
- Cardiac Xenotransplantation: A Narrative Review.Reviews in cardiovascular medicine · 2024Review
- Analyzing Data Modalities for Cattle Weight Estimation Using Deep Learning Models.Journal of imaging · 2024Article
- Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review.Frontiers in artificial intelligence · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This technical note critically evaluates the transformative potential of Artificial Intelligence (AI) and sensor technologies in the swiftly evolving dairy livestock export industry. We focus on the novel application of the Internet of Things (IoT) in long-distance livestock transportation, particularly in livestock enumeration and identification for precise traceability. Technological advancements in identifying behavioral patterns in 'shy feeder' cows and real-time weight monitoring enhance the accuracy of long-haul livestock transportation. These innovations offer benefits such as improved animal welfare standards, reduced supply chain inaccuracies, and increased operational productivity, expanding market access and enhancing global competitiveness. However, these technologies present challenges, including individual animal customization, economic analysis, data security, privacy, technological adaptability, training, stakeholder engagement, and sustainability concerns. These challenges intertwine with broader ethical considerations around animal treatment, data misuse, and the environmental impacts. By providing a strategic framework for successful technology integration, we emphasize the importance of continuous adaptation and learning. This note underscores the potential of AI, IoT, and sensor technologies to shape the future of the dairy livestock export industry, contributing to a more sustainable and efficient global dairy sector.
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Identifiers
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.