SOURCE-LINKED INTELLIGENCE
Understanding Neutral Weed Communities - Crops Interactions and Identification of Artificial Intelligence Algorithms for Species-Specific Weed Management Using Robots
Understanding Neutral Weed Communities - Crops Interactions and Identification of Artificial Intelligence Algorithms for Species-Specific Weed Management Using Robots The overarching objective of NEUTRAWEED is to form an international and inter-sectoral network of 16 organizations in four continents (Europe, Africa, Asia, and America) working on a joint research program in the fields of weed ecology and management, artificial intelligence (AI), and robotics. New sustainable weed management solutions are requested since the over-reliance on chemical control and intensive tillage in over-simplified cropping systems are now questioned because they have many drawbacks. As a solution, we propose the promotion of Neutral Weed Communities (NWCs), which are weed communities that can coexist with the crops without reducing crop yield or quality compared with weed-free conditions. In this 4-yer research plan, we propose to 1) identify NWCs in diverse cropping systems and study
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1237400
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.