February 7-11

Online 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.

The Winter School will be an online edition. The adjusted program & reduced price will be shared as soon as possible.

Registration deadline: 24 January 2022
Register directly or download the flyer.

Why join this Winter School?
After following this program 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.

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 fulfilled in all aspects! A group of enthusiastic teaching staff from WUR but also from abroad made this all possible for a group of 11 nationalities. 
Nanne Faber, (Enza Zaden), participant 2018

For whom is this Winter School?
This Winter School 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.

Program and topics
The 5-day program consists of lectures, tutorials and practicals by WUR experts and guest lecturers, guided tours and a networking diner.

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

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

For more information:
Wageningen University & Research

www.wur.nl 

 


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