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2025-2026 / GERE0054-1

Phenotyping by imaging

Duration

18h Th, 18h Pr

Number of credits

 Master in environmental bioengineering, professional focus4 crédits 

Lecturer

Vincent Leemans, Benoît Mercatoris

Coordinator

Benoît Mercatoris

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course focuses on the study of digital vision systems used to characterise the functional traits of plants. The general principles of image acquisition and analysis will be addressed. The state of the art and current issues regarding the contribution of different vision technologies to plant phenotyping will also be discussed.

Learning outcomes of the learning unit

At the end of the course, students should be able to:

  • Understand and use image acquisition systems;
  • Optimise acquisition parameters for specific situations;
  • Select and implement vision technologies for tracking specific plant traits;
  • Discuss about recent progress in plant phenotyping.

Prerequisite knowledge and skills

Basic knowledge of instrumentation and plant physiology is recommended.

Planned learning activities and teaching methods

The training includes a bibliographic section, a theoretical section and practical application of the basic concepts.

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Course materials and recommended or required readings

Platform(s) used for course materials:
- eCampus

Exam(s) in session

Any session

- In-person

oral exam

Written work / report


Further information:

The assessment will be based on documentary research on a current issue, a written report summarising an imaging project, and an oral discussion on the first two points.

Work placement(s)

Not applicable

Organisational remarks and main changes to the course

Contacts

vincent.leemans@uliege.be

benoit.mercatoris@uliege.be

Association of one or more MOOCs