Precision Feeding Systems in Animal Husbandry: Guiding Rabbit Farming from Concept to Implementation

Wei Jiang, Guohua Li, Jitong Xu, Yinghe Qin, Liangju Wang and Hongying Wang ()
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Wei Jiang: College of Engineering, China Agricultural University, Beijing 100083, China
Guohua Li: College of Engineering, China Agricultural University, Beijing 100083, China
Jitong Xu: College of Engineering, China Agricultural University, Beijing 100083, China
Yinghe Qin: College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
Liangju Wang: College of Engineering, China Agricultural University, Beijing 100083, China
Hongying Wang: College of Engineering, China Agricultural University, Beijing 100083, China

Agriculture, 2025, vol. 15, issue 21, 1-32

Abstract: Precision Feeding Systems (PFS) demonstrate transformative potential in advancing sustainable and efficient production within modern animal husbandry. However, existing research lacks a synthesis of PFS applications in livestock farming and offers little targeted guidance for China’s rapidly growing rabbit industry. The objective of this review is to bridge this gap by synthesizing current knowledge on PFS technologies—including sensor networks, artificial intelligence (AI), automated controls, and data analytics—and providing a structured framework for their implementation in rabbit production. This study selects and analyzes 112 core references, establishing a foundational database for comprehensive evaluation. The key contributions of this work are threefold: first, it outlines the core components and operational mechanisms of PFS; second, it identifies major challenges such as sensor reliability in dynamic environments, data security risks, limited explainability of AI models, and interoperability barriers; and third, it proposes a customized strategy for PFS adoption in rabbit farming, emphasizing phased implementation, cross-system integration, and iterative optimization. The primary outcomes and advantages of adopting such a system include significant improvements in feed efficiency, resource utilization, animal welfare, and waste reduction—critical factors given rabbits’ sensitive digestive systems and precise nutritional needs. Furthermore, this review outlines a future research agenda aimed at developing resilient sensors, explainable AI frameworks, and multi-objective optimization engines to enhance the commercial scalability and sustainability of PFS in rabbit husbandry and beyond.

Keywords: precision livestock farming; precision feeding; rabbit farming; robotic systems; artificial intelligence (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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