ReviewSensors (Basel, Switzerland)2022
The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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
31 citing papers in PubMed.
- DRG-LiteStar-YOLO: Reliability-Guided Pseudo-Depth Fusion for Dairy Goat Detection in Complex Barns.Animals : an open access journal from MDPI · 2026Article
- Cross-Breed Few-Shot Learning for Pig Detection via Improved YOLOv7 and CycleGAN-Based Sample Generation.Biology · 2026Article
- - Invited Review - Advancing precision livestock farming: integrating artificial intelligence and emerging technologies for sustainable livestock management.Animal bioscience · 2026Article
- Advances in Audio Classification and Artificial Intelligence for Respiratory Health and Welfare Monitoring in Swine.Biology · 2026Review
- Developing and Assessing the Performance of a Machine Learning Model for Analyzing Drinking Behaviors in Minipigs for Experimental Research.Sensors (Basel, Switzerland) · 2026Article
- Pig Health Assessment Framework Based on Behavioural Analysis.Animals : an open access journal from MDPI · 2025Article
- Design and Verification of a Non-Contact Body Dimension Measurement System for Jiangquan Black Pigs Based on Dual-View Depth Vision.Animals : an open access journal from MDPI · 2025Article
- Sustainability and future outlook of the Philippine pig industry.Journal of advanced veterinary and animal research · 2025Article
- The Piggy Solution: Harnessing Food Waste for Sustainable Hog Farming.Global challenges (Hoboken, NJ) · 2025Review
- Wearable Sensors-Based Intelligent Sensing and Application of Animal Behaviors: A Comprehensive Review.Sensors (Basel, Switzerland) · 2025Review
- Enhanced YOLOv8 for Robust Pig Detection and Counting in Complex Agricultural Environments.Animals : an open access journal from MDPI · 2025Article
- Precision Livestock Farming Applied to Swine Farms-A Systematic Literature Review.Animals : an open access journal from MDPI · 2025Review
- Instance segmentation and automated pig posture recognition for smart health management.Journal of animal science and technology · 2025Article
- SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies.Genetics, selection, evolution : GSE · 2025Article
- YOLOv8A-SD: A Segmentation-Detection Algorithm for Overlooking Scenes in Pig Farms.Animals : an open access journal from MDPI · 2025Article
- Body Temperature Detection of Group-Housed Pigs Based on the Pairing of Left and Right Ear Roots in Thermal Images.Animals : an open access journal from MDPI · 2025Article
- RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review.Journal of animal science and technology · 2025Review
- Behavior Tracking and Analyses of Group-Housed Pigs Based on Improved ByteTrack.Animals : an open access journal from MDPI · 2024Article
- Article
- Rationalizing the use of common parameters and technological tools to follow up Mycoplasma hyopneumoniae infections in pigs.Porcine health management · 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
Abstract
Pork accounts for an important proportion of livestock products. For pig farming, a lot of manpower, material resources and time are required to monitor pig health and welfare. As the number of pigs in farming increases, the continued use of traditional monitoring methods may cause stress and harm to pigs and farmers and affect pig health and welfare as well as farming economic output. In addition, the application of artificial intelligence has become a core part of smart pig farming. The precision pig farming system uses sensors such as cameras and radio frequency identification to monitor biometric information such as pig sound and pig behavior in real-time and convert them into key indicators of pig health and welfare. By analyzing the key indicators, problems in pig health and welfare can be detected early, and timely intervention and treatment can be provided, which helps to improve the production and economic efficiency of pig farming. This paper studies more than 150 papers on precision pig farming and summarizes and evaluates the application of artificial intelligence technologies to pig detection, tracking, behavior recognition and sound recognition. Finally, we summarize and discuss the opportunities and challenges of precision pig farming.
Indexed as
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.