AGRINEXT
Builds an AI-powered training system to help farmers, advisors and rural workers gain the skills needed for the future.
Builds an AI-powered training system to help farmers, advisors and rural workers gain the skills needed for the future.
Sets up city-based living labs where citizens co-design healthier, more sustainable local food systems.
Combines sensors, AI and citizen data to give cities real-time information on air pollution for better decisions.
Builds digital ‘twin’ models of villages to help rural communities plan for climate risks and access funding.
Builds AI-powered tools that make it easier for companies to measure and reduce their products’ environmental footprint.
Builds regional hubs that turn bio-based and construction waste into new building materials.
Demonstrates safe, large-scale use of recycled and alternative water sources to make farming more resilient to drought.
Develops an early-warning system combining sensors, AI and new treatments to detect and control crop diseases.
Combines genetics, environment and management to breed cattle and sheep that cope better with climate change.
Develops circularity indicators tailored specifically to the food service sector, from restaurants to canteens.
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