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A Novel Single Animal Motor Function Tracking System Using Simple, Readily Available Software

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Image Analysis and Computer Vision Applications in Animal Sciences: An Overview.

Arthur Francisco Araújo Fernandes¹, João Ricardo Rebouças Dórea¹, Guilherme Jordão de Magalhães Rosa^1,2

¹Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI, United States.

Frontiers in Veterinary Science

|November 16, 2020

Summary

Computer Vision Systems (CVS) offer advanced solutions for animal and veterinary sciences, enhancing livestock farming and phenotyping. Further research is needed for full deployment in breeding and commercial applications.

Keywords:

automation computer vision high-throughput phenotyping imaging livestock phenotyping precision livestock sensors

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Area of Science:

* Interdisciplinary field integrating Computer Vision, Digital Image Processing, and Digital Image Analysis.
* Focuses on digital image acquisition, sensor technologies, and their applications.

Background:

* Evolution of digital imaging from grayscale to advanced sensors (infrared, hyperspectral, etc.).
* Diverse image generation methods including sound and radiation for medical imaging.
* Current use of sensors in animal and veterinary sciences, primarily in experimental settings.

Purpose of the Study:

* To review significant developments in Computer Vision Systems (CVS) for animal and veterinary sciences.
* To highlight the connection between image processing fields and sensor technologies.
* To identify research gaps for autonomous CVS deployment in livestock.

Main Methods:

* Review of existing literature on computer vision applications in animal and veterinary sciences.
* Analysis of sensor technologies and their suitability for different applications.
* Examination of current and potential uses of CVS in livestock farming and phenotyping.

Main Results:

* CVS show potential in precision livestock farming and high-throughput phenotyping.
* Applications include beef cut assessment, animal identification, behavior monitoring, and phenotype measurement.
* Commercial products are emerging, but challenges remain for autonomous solutions.

Conclusions:

* CVS can reduce management costs and optimize decision-making in livestock operations.
* Constant trait measurement via CVS can improve selective breeding programs.
* Further research is crucial for the full integration of CVS in breeding and commercial farms.