ReviewFrontiers in veterinary science2025
Application of artificial intelligence in rabbit husbandry: from reproductive monitoring to precision farming.
Review in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- AI-Based Predictive Modelling and Alert Framework for Mortality Risk and Cost-Benefit Analysis in Rabbit Production.Veterinary sciences · 2026Article
- Enhancing Rabbit Welfare in Intensive Production Systems: A Review.TheScientificWorldJournal · 2026Review
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
No grant is acknowledged in the PubMed record.
Abstract
Artificial Intelligence (AI) is revolutionizing animal husbandry by automating and optimizing management processes, with significant potential in rabbit farming. Due to rabbits' high reproductive rates and diverse uses, AI can greatly improve reproductive management, health monitoring, and behavior analysis, as well as reproductive monitoring, health assessment, and precision farming. AI technologies, such as machine learning (ML), computer vision, and sensor integration, enable more efficient pregnancy detection, parturition prediction, delivery monitoring, and health surveillance. These systems innovations reduce reliance on manual labor, minimize monitoring time, and enhance animal welfare. AI-powered systems can detect pregnancy and predict parturition by analyzing physiological data, while wearable sensors and machine learning models monitor real-time health data information to identify early signs of illness. Additionally, AI tools track rabbits' behavior, activity levels, and social interactions, ensuring optimal living conditions and reducing stress or injury. However, challenges remain, including data collection, ethical concerns, and adapting systems to diverse farming environments. Despite these obstacles, AI offers substantial benefits, including precision management, increased productivity, and improved animal wellbeing. As AI technologies evolve, further advancements in accessibility, affordability, and integration into existing farm management systems are necessary. The integration of AI in rabbit husbandry can foster sustainable and humane practices, providing data-driven insights for better decision-making. This review highlights how AI innovations will revolutionize rabbit farming and lay the groundwork for broader applications in livestock management, contributing to the global expansion of precision 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.