Phenotyping with 3D-Scans and Computer Vision in Wheat
Fraunhofer IGD is developing a camera system (12 RGB cameras and artificial lighting) for agricultural robots for phenotyping applications. Topic of the proposal is data analysis of the field data of 2026, this includes checking the geolocalization of the images and general data processing and visualization
General learning outcomes
How phenotyping can profit from AI and computer vision methods, research data management
| Assessment method: | Report & Presentation |
| Prerequisites for participating students: | English (B2 Level), Prerequisites in Agronomy or Computer Sciences |
| Certification: | EU-CONEXUS certificate of attendance |
Thematic area:
Agriculture | Phenotyping | Computer Science
Mentor:
Dr. Philipp Wree
University:
Fraunhofer IGD
Faculty/Department:
Bioeconomy
Mentor’s email address:
PhD Leader:
Sarah Hoppe
PhD Leader’s email address:
Start date:
01/09/2026
Closing date:
15/10/2026
Deadline for applications:
18/08/2026
Physical presence mandatory:
YES
Duration of physical presence:
1-2 weeks (flexible)
For mobility grants, contact your Institutional Coordinator as indicated in the “🔗Contact us” section
Only online courses:
NO