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.

Organised by Wageningen Academy
Date

Mon 6 October 2025 until Thu 9 October 2025

Number of students 15 - 35
Price EUR 2,895.00
Price description A reduced fee of € 795,- applies for PhD candidates and students

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.