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Intelligent Perception-Based Cattle Lameness Detection and Behaviour Recognition: A Review.

Yongliang Qiao1, He Kong1, Cameron Clark2

  • 1Australian Centre for Field Robotics (ACFR), Faculty of Engineering, The University of Sydney, Sydney, NSW 2006, Australia.

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|November 27, 2021
PubMed
Summary
This summary is machine-generated.

Smart farming uses sensors and AI to monitor cattle health and behavior, addressing challenges in animal protein production. This review highlights techniques for lameness detection and behavior recognition, paving the way for more intelligent livestock management.

Keywords:
cattle behaviourcattle welfareintelligent perceptionlameness detectionprecision livestock farming

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Area of Science:

  • Agricultural Science
  • Veterinary Medicine
  • Computer Science

Background:

  • Increasing global population drives demand for animal protein.
  • Traditional farming faces productivity challenges from climate change and socioeconomic factors.
  • Smart technologies offer solutions for animal welfare and livestock farming.

Purpose of the Study:

  • To review and analyze techniques in smart livestock farming.
  • Focus on cattle lameness detection and behavior recognition.
  • Facilitate further research in intelligent animal agriculture.

Main Methods:

  • Comprehensive literature review of over 100 papers.
  • Evaluation and comparison of recent technologies and methods.
  • Analysis of smart sensors, big data, and deep learning applications.

Main Results:

  • Identified key techniques for cattle lameness detection.
  • Summarized methods for cattle behavior recognition.
  • Discussed the application of AI in livestock monitoring.

Conclusions:

  • Intelligent cattle monitoring is moving towards standardization and large-scale implementation.
  • Integration of Internet of Things (IoT) and deep learning is crucial.
  • Future research should address key challenges and opportunities in smart livestock farming.