Imagine a smart assistant for farmers that predicts exactly how much water and fertilizer to use so nothing is wasted. It works like a weather app combined with a soil sensor, telling you how to keep your crops healthy without polluting nearby rivers. By using AI, it helps farmers make better choices to survive droughts and floods.
Farmers struggle to balance crop yields with strict water quality laws and unpredictable climate shifts. This leads to wasted resources and potential legal penalties due to nutrient runoff.
An AI-powered decision support system and a FAIR-compliant data infrastructure that merges climate, soil, and water data.
If you are a software provider dealing with inaccurate water usage predictions — this project developed AI-powered decision support tools that integrate environmental and policy data to improve resource efficiency.
If you are a consultancy dealing with nutrient runoff compliance — this project developed a FAIR-compliant data infrastructure that unifies agricultural and hydrological data for better monitoring.
If you are a regulator dealing with conflicting water use between farms and nature — this project developed governance strategies and AI models to simulate different climate scenarios.
Based on available project data, no specific pricing or commercial cost for the tools is mentioned.
The project tests 11 innovations across 8 diverse case study regions to ensure the solutions are scalable and relevant to different climates.
Based on available project data, specific licensing terms are not provided, though the data infrastructure is designed to be FAIR-compliant.
The tools align with the Water Framework Directive and the EU Green Deal to help users meet environmental standards.
The project period runs from 2024-01-01 to 2026-12-31, suggesting availability toward the end of 2026.
The consortium is well-balanced for commercialization, featuring 20 partners from 12 countries. With a 35% industry ratio (7 companies, including 6 SMEs), there is a strong link between the 9 universities and 4 research centers and the actual market, ensuring the AI tools are grounded in practical farming needs.
Contact Lunds Universitet in Sweden for technical specifications on the AI models.
Contact us to connect with the FARMWISE consortium for early access to decision support tools.
