In this video, Professor Suresh Neethirajan, Chair of Digital Livestock Farming, dives into the latest advancements in animal pain research and high-throughput phenotyping (HTP). Discover how context-aware technologies and multi-sensor systems are transforming our approach to animal welfare, allowing for more accurate and real-time monitoring of livestock health.
Learn about the integration of facial recognition, accelerometer data, and machine learning models that enable precise phenotyping in diverse farm environments. This comprehensive method not only improves early detection of health issues like lameness in cows but also emphasizes the importance of interdisciplinary collaboration in developing smarter farming tools.
If you're interested in animal welfare, precision farming, or the intersection of technology and livestock management, this video covers key insights into the future of digital farming.
Keywords: Animal Pain Research, High-Throughput Phenotyping, Context-Aware Monitoring, Digital Livestock Farming, Precision Livestock Farming, Animal Welfare, Smart Farming, Facial Recognition in Farming, AI in Livestock Management, Suresh Neethirajan
Негізгі бет Advancing Animal Welfare - High-Throughput Phenotyping & Context-Aware Pain Research
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