
On-campus
Sensor Data and Computational Technologies for Animals
Sensor data and technology offer opportunities to enhance animal health and welfare, but many professionals struggle to harness their full potential. Do you want to assess sensor options and collaborate with IT experts more effectively? This course equips you with the knowledge to understand, evaluate, and integrate sensor data into decision-making.
Target audience
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.
Learning outcomes
After successful completion of this programme, you will be able to:
- 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.
Programme
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
Certification
After completion of the course, participants will receive a certificate
Coordinated by
External coordinators
- Dr Ali Youssef, WUR and University of Manitoba
- Dr Tomas Norton, KU Leuven
- Prof. Dr Ricardo da Silva Torres, WUR
Register
Join this course now, or download the flyer first.