REVIEW article
Front. Vet. Sci.
Sec. Animal Behavior and Welfare
Volume 12 - 2025 | doi: 10.3389/fvets.2025.1679630
This article is part of the Research TopicTransforming Veterinary Medicine: Digital Tools and AI as Path to Sustainable Animal CareView all 4 articles
Application of Artificial Intelligence in Rabbit Husbandry: From Reproductive Moni-toring to Precision Farming
Provisionally accepted
- 1Prairie View A&M University, Prairie View, United States
- 2South Valley University, Qena, Egypt
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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 well-being. 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.
Keywords: artificial intelligence, Rabbit farming, Parturition prediction, health monitoring, machine learning
Received: 04 Aug 2025; Accepted: 07 Oct 2025.
Copyright: © 2025 Abdel-Wareth, Ahmed, Salahuddin and Lohakare. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ahmed A.A. Abdel-Wareth, aahabdelwareth@pvamu.edu
Ahmed Ahmed, amahmed@pvamu.edu
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.