Application of artificial intelligence in rabbit husbandry: from reproductive monitoring to precision farming

Ahmed A A Abdel-Wareth ^1,2, Ahmed A Ahmed ³, Md Salahuddin ¹

⁰Cooperative Agricultural Research Center, College of Agriculture, Food and Natural Resources, Prairie View A&M University, Prairie View, TX, United States.

Frontiers in Veterinary Science +

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November 10, 2025

View abstract on PubMed

Summary

Artificial Intelligence (AI) enhances rabbit farming through automated reproductive management, health monitoring, and behavior analysis. This technology promises increased productivity and improved animal welfare in precision farming.

Area Of Science

Agricultural Science
Animal Science
Computer Science

Background

Rabbit farming presents unique challenges in management due to high reproductive rates.
Traditional methods are labor-intensive and may not optimize animal welfare or productivity.
Emerging technologies offer potential solutions for efficient livestock management.

Purpose Of The Study

To review the application of Artificial Intelligence (AI) in rabbit husbandry.
To highlight AI's role in improving reproductive management, health monitoring, and behavior analysis.
To discuss the benefits and challenges of integrating AI in precision farming for rabbits.

Main Methods

Review of AI technologies including machine learning (ML), computer vision, and sensor integration.
Analysis of AI applications in pregnancy detection, parturition prediction, and health surveillance.
Examination of AI's utility in behavior tracking and welfare assessment.

Main Results

AI enables automated and precise pregnancy detection and parturition prediction.
ML and sensor integration facilitate real-time health monitoring and early disease detection.
AI tools improve animal welfare by optimizing living conditions and reducing stress.

Conclusions

AI integration in rabbit farming offers significant benefits for productivity and animal wellbeing.
Challenges include data collection, ethical considerations, and system adaptability.
Further advancements are needed for widespread AI adoption in sustainable, humane livestock management.

Keywords:

artificial intelligence health monitoring machine learning parturition prediction rabbit farming