Research Projects
Mushroom picker
Prototype for the automated collection of fly agaric mushrooms
Start: 09/2025
End: 11/2025
In the AutoFly (“Automated Fly Agaric Collector”) project, researchers are developing a unique system for automatically locating and collecting fly agaric mushrooms. Using a combination of AI-supported image processing, GPS-supported forest navigation, and robotic gripper arms, mushrooms are detected, classified, and carefully harvested.
Key questions include:
– How can a system reliably distinguish between edible and inedible mushrooms?
– Which sensory methods enable detection even in poor light and weather conditions?
– How can flexible gripping systems be developed that harvest mushrooms without damaging them?
The project is primarily prototypical in nature and serves as a research basis for further work in the fields of agricultural robotics, autonomous systems, and AI-based nature recognition.
Role of the FZI
The FZI Research Center for Information Technology is taking the lead in the project in developing the intelligent control and analysis algorithms. The FZI is contributing its expertise in the fields of artificial intelligence, autonomous mobility, and robotics. Researchers at the FZI are developing the software architecture that enables the prototype to independently identify mushrooms in the forest and make navigation decisions.
In addition, the FZI is coordinating the transfer of knowledge between the participating partners from the fields of robotics, sensor technology, and applied mycology. The aim is to derive methodological principles from the idea of automated fly agaric collection that can also be applied in real-world fields such as agriculture and forestry.
In addition, the FZI is coordinating the transfer of knowledge between the participating partners from the fields of robotics, sensor technology, and applied mycology. The aim is to derive methodological principles from the idea of automated fly agaric collection that can also be applied in real-world fields such as agriculture and forestry.
More information
Contact person
Staff
Division: Technology and Infrastructure Services
Headquarters Karlsruhe
Research focus
Applied Artificial Intelligence
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Project partners: