About this course
Sensor data is increasingly used by commercial livestock farmers, feeding companies, breeding companies, and the scientific community. In this course, various sensors in animal production systems that measure animal behaviour will be discussed, including their use in science and for commercial purposes, their possibilities and constraints, and future potential. Emphasis will be put on accelerometer data, feeding station data, and location (tracking) data. This course prepares students in animal sciences for sensor data analysis and interpretation in their future career, by 1) providing knowledge about sensors, their data and use, 2) handling data quality and processing data, 3) analysing animal behaviour over time, and 4) developing basic programming skills in R.
Learning outcomes
After successful completion of this course students are expected to be able to:
- Discuss main sensors used in animal production systems, and their possibilities and constraints
- Explain how and what kind of data is generated by feeding stations, location sensors and accelerometers in livestock systems
- Apply techniques to visualize and analyze basic features of sensor data
- Engineer new features and create new hypotheses based on sensor data
- Interpret processed results in the context of animal sciences
- Report on data processing, analysis and results
Required prior knowledge
Assumed Knowledge:
This course assumes basic working knowledge on mathematics and statistics, and familiarity with computer programming.
Link to more information
- CreditsECTS 6
- Levelbachelor
- Contact coordinator