AmAIzed
TUM, HSWT and LfL are joining forces to develop an intelligent robot system for the future of agriculture
The main objective of the project AmAIzed is to develop a multi-tasking AI-assisted Robot system for individualized management of crops and weeds by bringing together experts from TUM, HSWT and LfL working in multiple disciplines, e.g.
- Agro- and Bio-Engineering
- Crop & Horticulture Science
- Plant Protection
- Farm Management
The EU targets to reduce the use and risk of chemical pesticides and to reduce the use of more hazardous pesticides by 50%. State-of-the-art technologies such as integrated pest management (IPM) and sensor-based variable rate herbicide application may contribute to a 10 – 20 % reduction in pesticide use without harming yields. However, progress has been limited, and there have even been reports of increased use of pesticides. While classical mechanical weeding cannot realize the spot-killing of individual weeds and often leads to soil compaction due to the use of tractors and heavy machinery, lightweight intelligent robots are becoming attractive in industry and agricultural research. Therefore, envisioning the application of AI and robotics in future farming scenarios, the AmAIzed project consortium aims to understand the extent to which the use of agrichemicals can be further reduced through the development of novel robotic systems that can precisely treat individual plants and weeds.
Project partners: Prof. Kang Yu (TUM), Prof. Heinz Bernhardt (TUM), Prof. Mirjana Minceva (TUM); Klaus Gehring (LfL), Stefan Kopfinger (LfL); Prof. Simon Walther (HSWT), Prof. Thomas Ebertseder, Prof. Michael Beck (HSWT)
Project coordinator: Prof. Kang Yu
