Challenges and opportunities for precision livestock farming applications in the rabbit production sector
Submitted: 2024-10-28
|Accepted: 2025-04-07
|Published: 2025-06-30
Copyright (c) 2025 Tomás Norton, María Cambra-López

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Keywords:
rabbit farming, precision livestock farming, remote sensing, animal monitoring
Supporting agencies:
This publication is part of the FREE-RAB project (PID2022-143036OB-I00) Tailor-made feeding strategies and precision livestock farming technology for cage-free rabbit farming, funded by MICIU/AEI /10.13039/501100011033FREE-RAB project (PID2022-143036OB-I00) Tailor-made feeding strategies and precision livestock farming technology for cage-free rabbit farming, funded by MICIU/AEI /10.13039/501100011033
Abstract:
Precision livestock farming (PLF) is an established field in many livestock sectors. However, when it comes to rabbit production, it is still emerging. Nevertheless, we believe that the rapid advancements in sensor technologies, data analytics and automation we are witnessing can bring significant and transformative opportunities to the rabbit farming industry. Within this context, this paper explores the potential use of PLF for the rabbit sector. We start by briefly reviewing the current state of the art of PLF applications in other livestock sectors, such as dairy and pig farming, focusing on remote sensing solutions. Then we outline how different technologies can potentially be adapted for rabbit production. Recent rabbit research studies that implement PLF-like technology are then reviewed. We finalise by discussing the challenges of implementing PLF in rabbit farming, including the need for tailored solutions that consider rabbits’ specific behavioural and physiological characteristics. When considering the future impact of PLF, early disease detection probably offers the highest potential for rabbit production. Being able to automatically detect early signs of digestive disorders around weaning, particularly in large group-housed growing rabbits where disease spread is a concern, would represent a significant step forward. Additionally, PLF tools can enhance rabbit breeding and genetic programmes by providing detailed and accurate individual phenotypic data. Data can be then used to better define animal management practices that promote positive experiences and affective states, reducing negative social interactions. Besides, precision feeding models could contribute to enhancing feed efficiency for both growing and reproductive rabbits, reducing the negative environmental impact of feeding. To this end, camera monitoring, sound analysis, electronic feeders, accelerometers and other biometric and physiological monitoring technologies can be utilised. The integration of PLF technologies promises to support farmers in meeting the increasingly stringent welfare regulations across the European Union, ultimately enhancing the sustainability and profitability of rabbit production systems. Further research is needed to address the challenges that remain in developing and validating reliable algorithms so that sensors can be used more effectively in diverse rabbit farm conditions.
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