Computer-Vision-Based Sensing Technologies for Livestock Body Dimension Measurement: A Survey

Area of Science:

• Agricultural Engineering
• Computer Vision
• Animal Science

Background:

• Accurate livestock live body dimensions are crucial for economic assessment and management.
• Traditional manual measurement methods are inefficient, labor-intensive, and can cause animal stress.
• Advancements in computer technology have driven the development of automated measurement techniques.

Purpose of the Study:

• To provide a comprehensive review of recent advancements in livestock live body dimension measurement.
• To emphasize the role of computer-vision-based sensors in modern livestock measurement.
• To analyze current techniques, challenges, and future trends in high-throughput livestock measurement.

Main Methods:

• Review of sensing data acquisition techniques for livestock body dimensions.
• Analysis of data processing methods including 3D vision, image processing, and deep learning.
• Examination of sensing data analysis for accurate measurement calculation.

Main Results:

• Computer-vision-based sensors are pivotal for precise and efficient livestock measurement.
• Current techniques leverage advanced processing to overcome limitations of manual methods.
• Significant progress has been made in automated data acquisition and analysis.

Conclusions:

• Computer-vision-based sensors offer substantial potential to address challenges in livestock measurement.
• Future trends point towards high-throughput measurement techniques for improved livestock management.
• The integration of advanced sensing technologies promises to enhance precision and reduce stress in livestock farming.