Imagine trying to keep a garden weed-free without using harsh chemicals, but the weather is constantly changing and making it harder. This project creates a digital guidebook and smart tools to help farmers pick the best natural weeding methods for their specific land and climate. It's like having a GPS for sustainable farming that tells you exactly which non-chemical trick will actually work in your region.
Farmers struggle to replace chemical herbicides with natural methods because they lack region-specific evidence and tools to manage weeds under changing climate conditions.
A portfolio of agroecological weeding techniques, a decision-support system (DSS) with associated data models, and a set of impact measurement indicators.
If you are a software provider dealing with a lack of sustainable guidance for users — this project developed a decision-support system (DSS) and data models that provide evidence-based agroecological weeding tactics. This allows you to integrate precise, climate-adapted weed management modules into your platform.
If you are a food processor dealing with unstable supply chains due to pesticide regulations — this project developed a portfolio of agroecological practices and impact measurement indicators. This helps you ensure your suppliers can maintain yields while reducing synthetic chemical pesticide use by 50%.
If you are a consultant dealing with farmers who are hesitant to switch from herbicides — this project developed a set of 9 case studies across Europe and training materials. You can use these proven results to convince clients to adopt non-chemical tactics based on their specific pedoclimatic region.
Based on available project data, specific pricing or implementation costs for the tools are not provided.
The project is currently tested across 9 case studies in 12 European countries, covering diverse biogeographical regions to ensure transferability.
Based on available project data, the project aims to provide an 'open DSS', suggesting an open-access or shared-knowledge model rather than restrictive licensing.
Yes, it is specifically aligned with the Farm to Fork Strategy and Biodiversity Strategy 2030 to reduce synthetic chemical pesticide use by 50%.
The project period runs until 2027-04-30, with first versions of tools and data models already delivered in the first period.
The consortium is heavily weighted toward commercial application, with 13 industry partners (46% ratio) and 13 SMEs. This strong private-sector presence, combined with 5 universities and 4 research centers across 12 countries, indicates a high focus on practical market adoption rather than purely academic research.
Contact CY.R.I.C Cyprus Research and Innovation Center Ltd
Contact us to explore integration of the CONSERWA DSS into your ag-tech product roadmap.
