ReviewAnimals : an open access journal from MDPI2021
The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals.
Review in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Closed-loop artificial intelligence agents for animal epidemic prediction and decision support in livestock farming: a review.Frontiers in veterinary science · 2026Review
- Sustainability and future outlook of the Philippine pig industry.Journal of advanced veterinary and animal research · 2025Article
- Real-Time Auto-Monitoring of Livestock: Quantitative Framework and Challenges.Sensors (Basel, Switzerland) · 2025Review
- Advancements in Individual Animal Identification: A Historical Perspective from Prehistoric Times to the Present.Animals : an open access journal from MDPI · 2025Review
- Multistage pig identification using a sequential ear tag detection pipeline.Scientific reports · 2025Article
- Instance segmentation and automated pig posture recognition for smart health management.Journal of animal science and technology · 2025Article
- Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping.Briefings in functional genomics · 2025Review
- The group-housed pigs attacking and daily behaviors detection and tracking based on improved YOLOv5s and DeepSORT.PloS one · 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
- Highly accurate and precise determination of mouse mass using computer vision.Patterns (New York, N.Y.) · 2024Article
- Rationalizing the use of common parameters and technological tools to follow up Mycoplasma hyopneumoniae infections in pigs.Porcine health management · 2024Article
- DCNN for Pig Vocalization and Non-Vocalization Classification: Evaluate Model Robustness with New Data.Animals : an open access journal from MDPI · 2024Article
- Automatic Recognition and Quantification Feeding Behaviors of Nursery Pigs Using Improved YOLOV5 and Feeding Functional Area Proposals.Animals : an open access journal from MDPI · 2024Article
- Deep Learning Models to Predict Finishing Pig Weight Using Point Clouds.Animals : an open access journal from MDPI · 2023Article
- Opportunities for Regulatory Authorities to Assess Animal-Based Measures at the Slaughterhouse Using Sensor Technology and Artificial Intelligence: A Review.Animals : an open access journal from MDPI · 2023Review
- Digital livestock systems and probiotic mixtures can improve the growth performance of swine by enhancing immune function, cecal bacteria, short-chain fatty acid, and nutrient digestibility.Frontiers in veterinary science · 2023Article
- The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming.Sensors (Basel, Switzerland) · 2022Review
- Prediction of Total Soluble Solids and pH of Strawberry Fruits Using RGB, HSV and HSL Colour Spaces and Machine Learning Models.Foods (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Pork is the meat with the second-largest overall consumption, and chicken, pork, and beef together account for 92% of global meat production. Therefore, it is necessary to adopt more progressive methodologies such as precision livestock farming (PLF) rather than conventional methods to improve production. In recent years, image-based studies have become an efficient solution in various fields such as navigation for unmanned vehicles, human-machine-based systems, agricultural surveying, livestock, etc. So far, several studies have been conducted to identify, track, and classify the behaviors of pigs and achieve early detection of disease, using 2D/3D cameras. This review describes the state of the art in 3D imaging systems (i.e., depth sensors and time-of-flight cameras), along with 2D cameras, for effectively identifying pig behaviors and presents automated approaches for the monitoring and investigation of pigs' feeding, drinking, lying, locomotion, aggressive, and reproductive behaviors.
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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.