On-campus

Summer School Image Analysis for Plant Phenotyping

Are you looking for a complete overview of image analysis techniques for automatic plant phenotyping? The Summer School will provide a mixture of underlying theory and practical hands-on training. You will have the chance to work on actual plant image analysis issues. These problems will challenge you to use and merge the theory in practice.

Organised by Wageningen Academy
Date

Mon 24 June 2024 until Fri 28 June 2024

Duration 5 days
Number of students 25 - 35
Price EUR 2,980.00
Price description This includes course materials, lunches, coffee/tea, refreshments and a welcome dinner. Reduced fee for PhD students: €1950.

We would like to launch the ‘Dip4Agri support grant’ of 1.000,- enabled by the Dip4Agri HEI project.

Criteria:

  • Doing a PhD, or max 3 years after getting your PhD.
  • Last-year master students can also apply.
  • A clear link topic wise to the Dip4Agri deep tech topics.
  • Junior researcher from industry max 5 years after graduation.

NB: Age is not relevant, but you need to have a clear and recent link or logical interest for training and education within DeepTech.

Applicants need to write one paragraph why they are convinced they can make this claim on the Dip4Agri support grant. And we will rank them and the best 20 will be informed before 19 June. If you wish to register for the Summer School please register via the orange button on this webpage. If you want to apply for the support grant, please send your motivation to continuingeducation@wur.nl.

Additionally, a dedicated session on entrepreneurship will be given to participants during the summer school that receive this grant, next to a convincing 2-pager essay on the challenges for imaging and plant phenotyping towards entrepreneurship and impact, and a mandatory exam as the end of the summer school.

Target audience

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

After successful completion of this programme, you will be able to:

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

Programme

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.

Coordinated by

Stay informed

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