Computer Vision Analysis Applied to Farm Animals
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: 25 March 2025 | Viewed by 147
Special Issue Editors
Interests: precision livestock farming; poultry behavior and welfare; poultry environment, airborne transmission; air pollutant monitoring and mitigation
Special Issues, Collections and Topics in MDPI journals
Interests: digital agriculture; precision farming; machine learning; deep learning; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of computer vision and image analysis into precision livestock farming has revolutionized agricultural practices, offering innovative solutions for monitoring and managing farm animals. Historically, traditional animal husbandry relied heavily on manual inspection and intervention. However, recent advances in technology have introduced sophisticated image processing techniques that enable real-time, automated analysis. The aim of this Special Issue is to explore cutting-edge research and applications in computer vision and image analysis for precision livestock farming, emphasizing their role in improving animal health, welfare, and overall farm efficiency. We are soliciting papers that present novel methodologies, applications, and case studies in this field. Topics of interest include, but are not limited to, advanced imaging techniques for monitoring animal health, automated behavior analysis, and integration of computer vision systems with other precision livestock farming technologies. This Special Issue seeks to bring together innovative research and practical solutions to address current challenges and future opportunities in livestock farming.
Dr. Yang Zhao
Dr. Beibei Xu
Guest Editors
Manuscript Submission Information
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Keywords
- computer vision
- image analysis
- precision livestock farming
- animal welfare
- deep learning
- behavior monitoring
- health assessment
- data fusion
- imaging technologies
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