This course provides a practical and research-oriented introduction to modern high-throughput plant phenotyping. Students learn how digital imaging, sensor technologies, robotics and data analytics are used to measure plant traits efficiently across controlled and field environments. The course combines online teaching with an intensive in-person training week at NMBU and UiO.
When: 22 September – 9 October 2026
Where: NMBU, UiO and online
Credits: 5 ECTS (BIO412)
What you will learn
- Core principles of plant phenotyping and biological imaging
- Introduction to field phenotyping
- Controlled-environment phenotyping using advanced imaging systems
- High-throughput seed phenotyping and trait-based sorting for model and crop species
- Image processing, machine learning and data-analysis pipelines
- Designing phenotyping experiments and handling large datasets
Who can apply
PhD students in plant sciences, biology, biotechnology, environmental sciences or related fields. MSc students may be admitted if space allows.
Course schedule (2026)
Online sessions (20 h total):
- 22 September, 13:00–17:00
- 25 September, 12:00–16:00
- 29 September, 13:00–17:00
- 2 October, 12:00–16:00
In-person week (5–9 October, approx. 40 h):
- 2 days at NMBU
- 2 days at UiO
- 1 day for student presentations
How to apply
Apply through the