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Monitoring Pig Structural Soundness and Body Weight in Pork Production Systems Using Computer Vision Approaches.

Ryan Jeon¹, Caleb Rykaczewski², Thomas Williams³

¹Integer Technologies LLC, 1556 Main Street, Suite 200, Columbia, SC 29201, USA.

Animals : an Open Access Journal From MDPI

|March 13, 2025

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Precision technologies, including computer vision and sensor-based systems, are crucial for improving pig health and production efficiency. Further development and integration are needed for widespread adoption in pork production.

Area of Science:

Agricultural Technology
Animal Science
Computer Vision

Background:

Global demand for animal products necessitates advancements in precision farming.
Current precision technologies offer potential for enhanced pork production efficiency through automated data collection.
The integration of computer vision in agriculture is still in its early stages.

Purpose of the Study:

To evaluate the performance of computer vision technologies for reliable data collection in pork production.
To assess sensor-based animal management systems utilizing data fusion for pig health and performance monitoring.
To highlight the need for computational infrastructure and connectivity in rural agricultural settings.

Main Methods:

Review of existing literature on computer vision and sensor-based technologies in animal agriculture.

Keywords:

computer vision pork production precision technologies skeletal structure weight

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Analysis of data fusion approaches for monitoring animal health and performance.

Discussion of technological requirements for implementing precision agriculture.

Main Results:

Computer vision technologies show promise but require further evaluation for reliable data in pork production.
Sensor-based systems with data fusion offer a viable approach to monitor pig health and performance.
Significant advancements in computational capacity, edge computing, and connectivity are essential for successful implementation.

Conclusions:

Precision technologies have the potential to revolutionize food animal production, particularly in pork, dairy, and poultry sectors.
Addressing technological and infrastructural challenges is key to integrating these systems into traditional farming practices.
Further research and development are needed to bridge the gap between nascent technologies and practical agricultural applications.