Winter-/Summer- School on Image Analysis for Plant Phenotyping

 If you want to experience, learn and get a ‘picture’ of the state of art related to current imaging technologies and analysis tools this is the place to be. My expectations on this were fullfilled in all aspects! A group of enthousiastic teaching staff from WUR but also from abroad made this all possible for a group of 11 nationalities. 

Nanne Faber, (Enza Zaden), participant 2018

Are you looking for a complete overview of image analysis techniques for automatic plant phenotyping? The Winter School will provide a mixture of underlying theory and practical hands-on training. You will have the opportunity to work on real plant image analysis problems to challenge you to directly apply and combine the theory in practice.

 

About this course
 
Organised by Wageningen Academy
Date

Monday 29 June 2026 - Friday 3 July 2026
Duration 5 days
Location

Wageningen Campus
Price

€ 3,280 |

Reduced fee for PhD students: € 2,145

 Register now!



For whom is this Summer School?

This Summer School is designed for two groups: researchers studying automatic phenotyping and technical experts in breeding companies. Both groups use or plan to use image analysis. If you have doubts about whether you belong to the target group or have enough relevant basic knowledge, please don't hesitate to contact us.

Learning outcomes

  • Explain the latest insights in imaging techniques applied to plant phenotyping.
  • Apply these techniques in daily practice in your experiments.

 

Programme and topics

The main topics that will be addressed are:

  • Image acquisition
  • Noise filtering
  • Segmentation and image shape features
  • Machine learning
  • Deep learning
  • 3D vision
  • Imaging, data and practicals

 

Certification

After completing the programme, you are awarded with a certificate.

 

 

Summer School Leaders

The course leaders are 

Liesbeth EM (Liesbeth) Vallinga MSc, dr. Gerrit Polder, dr. Gert Kootstra and Rick van de Zedde MSc, Wageningen University & Research.