Sensor Data and Computational Technologies for Animals

This course is designed for professionals working in animal health, welfare, and management, such as farm advisors, veterinarians, researchers, R&D specialists (in animal nutrition or pharmaceuticals, for example) and business developers who are considering to integrate sensor data into their work.

• Define the animal bioresponses you would like to monitor;
• Select the most appropriate sensing technology;
• Apply your sensor technology on the animal;
• Collect good sensor data;
• Select the most appropriate data analytics approach;
• Apply the most appropriate data analytics approach;
• Validate your sensing and data analytics tool;
• Interpret your results.

This 4-day course brings you up to speed on the potential of sensor technology for monitoring animal health and welfare. You will gain the knowledge you need to work with IT experts and effectively integrate sensor technology into your decision-making processes.

Topics covered include:

• Understanding the bioresponse
• Sensor technology selection
• Data collection
• Data processing
• Validation techniques
• Result interpretation

After completion of the course, participants will receive a certificate

• Dr Ali Youssef, WUR and University of Manitoba
• Dr Tomas Norton, KU Leuven