Course

Winter School on Image Analysis for Plant Phenotyping

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.

Organised by Wageningen Academy
Date

Mon 7 February 2022 until Fri 11 February 2022

Duration 5 days
Venue Wageningen Campus
Scholarship PhD discount
Course Format On-site
Credits Certificate

This programme is not open for registration yet.
You can already show your interest.

Why join this Winter School?

After following this programme you know about the latest insights in imaging techniques applied to plant phenotyping. Furthermore, you will be able to apply it in daily practice in your experiments.

For whom is this Winter School?

This programme is primarily intended for researchers working on automatic phenotyping and technical experts in breeding companies who use, or plan to use, image analysis. If you have doubts whether you belong to the target group or have enough relevant basic knowledge, please don’t hesitate to contact us!

Programme and topics

In this programme, a mixture of lectures from experts from Wageningen University & Research and leading international experts in this domain, are combined with hands-on training.

During the Winter School there is ample time to discuss the issues of importance to your company/institutions with the experts. The folllowing subjects will be adressed:

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

Summer School Leaders

The programme is given by dr. Gerrit Polder, dr. Gert Kootstra and Rick van de Zedde MSc, Wageningen University & Research.

Stay informed

You can not register yet. Show your interest to stay informed.
Questions? Contact programme manager Liesbeth Vallinga.