The Karl Popper Kolleg “ForestScope. DroneScope for Smart Agriculture and Forestry” aims to automate and revolutionize yield assessment procedures using autonomous multi-drone systems, as well as to contribute to further solutions for agriculture and forestry.
Traditional methods of assessing yield quality and predicsion are labor-intensive, time-consuming, and subjective. ForestScope addresses this challenge: multiple drones, equipped with wireless signal technology, capture precise data for infering yield predicsion — in areas such as regular agriculture but also in forestry — contactlessly and automatically. This creates a tool that provides farmers and foresters with reliable, actionable information in real time, enabling them to optimally plan harvest timing and maximize both quality and yield.
ForestScope’s four research focus areas:
- Resilient Localization and Control: The ability to resiliently localize and control drones in GNSS-challenged environments is currently non-existent. Precision navigation is crucial for the success of autonomous multi-drone systems becoming an everyday tool.
- Intelligent Interaction with the Environment: Building on resilient precision navigation, there is a need for intelligent interaction between drones and their environment. As it stands, operators must actively and consciously steer drones, even for the smallest maneuvers. Developing intelligent systems that can autonomously interact with the environment, ideally contact-free, is essential for the practical deployment of multi-drone systems.
- Multi-Agent Autonomy and Coordination: Extending intelligent interaction to the entire mission, multi-agent autonomy and coordination must be enhanced. Currently, multi-drone systems do not fully leverage the combined capabilities of the swarm, resulting in performance that is often no better than the sum of individual drones. Research must focus on developing algorithms and strategies that enable the swarm to perform collectively better and achieve more than individual drones can.
- Data Usage and Transmission: The utility of different data types must be prioritized to ensure optimal mission performance and provide actionable, high-quality data to the end user. The final hurdle involves synchronizing data transmission and sharing across the multi-drone system, akin to video streaming but with specialized requirements that have yet to be fully explored in the context of multi-agent systems.
In the long term, ForestScope is an important building block on the path toward the “DroneScope” concept — a versatile multi-drone tool for smart agriculture and beyond.
Dissertation topics
- Equivariant multi-sensor fusion and control for DroneScoping
- Precise motion control and interaction for DroneScoping
- Collaborative motion planning for DroneScoping
- Efficient data communication for DroneScoping
News:
- December 15, 2025 (AAU): Outdoor Drone Space Austria (ODSA) der Universität Klagenfurt vor Fertigstellung
Staff:
- Jauma Albardaner i Torras
- Stefano Bassino
- Christian Bettstetter
- Sergi De Las Muelas Acosta
- Bernhard Rinner
- Christian Timmerer
- Shivi Vats
- Stephan Weiss
Students:
- Selina Isak












