This course provides a practical introduction to the use of drones and artificial intelligence (AI) in modern agriculture. Using real-world examples from current research, students will explore how data from drones and sensors can be processed, analyzed, and transformed into meaningful insights and business models for smart farming.
Participants will gain hands-on experience either in computer vision (CV) & machine learning or in developing a business model through interactive sessions and group projects. The course combines technical foundations with economic perspectives, encouraging students to link data-driven innovation with viable business strategies in agriculture.
- Trainer/in: Bogdan Franczyk
- Trainer/in: Lorenz Gunreben
- Trainer/in: Nico Konstantin Heider
- Trainer/in: Martin Schieck
- Trainer/in: Sebastian Zürner
Semester: WiSe 2025/26