ReviewAnimals : an open access journal from MDPI2023
Artificial Intelligence for Automatic Monitoring of Respiratory Health Conditions in Smart Swine Farming.
Review in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed.
- Multi-Camera Analysis of Simulated Porcine Recovery States Based on Three-Dimensional Pose Using Synthetic Data.Journal of imaging · 2026Article
- Exploratory Room-Level Acoustic Soundscape Monitoring of Cough-like Events Under Standard and Ventilation-Restricted Pig-Housing Conditions Using Audio Spectrogram Transformer.Animals : an open access journal from MDPI · 2026Article
- Pilot Room-Level Acoustic and Physiological Monitoring of Respiratory Disturbance in Pigs Following ExperimentalVeterinary sciences · 2026Article
- A Conformer-Based Time-Frequency Decoupling Network for Pig Vocalization Behavior Classification.Animals : an open access journal from MDPI · 2026Article
- Epidemiology of Major Bacterial Pathogens Associated with Porcine Respiratory Disease Complex: A Cross-Sectional Study from Intensive Swine Farms in Xinjiang, China (2024-2025).Veterinary sciences · 2026Article
- Characterising responses in group-housed pigs to Salmonella typhimurium infection through integrated computer vision-based behavioural monitoring and statistical analyses.Porcine health management · 2026Article
- Advances in Audio Classification and Artificial Intelligence for Respiratory Health and Welfare Monitoring in Swine.Biology · 2026Review
- Lightweight Fine-Tuning for Pig Cough Detection.Animals : an open access journal from MDPI · 2026Article
- AI-Based Respiratory Monitoring-Guided Evaluation of Rottlerin Therapy for PRRS in Grower-Finisher Pig Farms.Viruses · 2026Article
- Real-Time Auto-Monitoring of Livestock: Quantitative Framework and Challenges.Sensors (Basel, Switzerland) · 2025Review
- Advancements in Modern Nucleic Acid-Based Multiplex Testing Methodologies for the Diagnosis of Swine Infectious Diseases.Veterinary sciences · 2025Review
- YOLOv8A-SD: A Segmentation-Detection Algorithm for Overlooking Scenes in Pig Farms.Animals : an open access journal from MDPI · 2025Article
- A review of sound-based pig monitoring for enhanced precision production.Journal of animal science and technology · 2025Review
- Minimum carbon dioxide is a key predictor of the respiratory health of pigs in climate-controlled housing systems.Porcine health management · 2024Article
- An Overview of Software Sensor Applications in Biosystem Monitoring and Control.Sensors (Basel, Switzerland) · 2024Review
- Data recording and use of data tools for pig health management: perspectives of stakeholders in pig farming.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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Porcine respiratory disease complex is an economically important disease in the swine industry. Early detection of the disease is crucial for immediate response to the disease at the farm level to prevent and minimize the potential damage that it may cause. In this paper, recent studies on the application of artificial intelligence (AI) in the early detection and monitoring of respiratory disease in swine have been reviewed. Most of the studies used coughing sounds as a feature of respiratory disease. The performance of different models and the methodologies used for cough recognition using AI were reviewed and compared. An AI technology available in the market was also reviewed. The device uses audio technology that can monitor and evaluate the herd's respiratory health status through cough-sound recognition and quantification. The device also has temperature and humidity sensors to monitor environmental conditions. It has an alarm system based on variations in coughing patterns and abrupt temperature changes. However, some limitations of the existing technology were identified. Substantial effort must be exerted to surmount the limitations to have a smarter AI technology for monitoring respiratory health status in swine.
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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 OpenQuestion graph.