About Us
About the Project
A collaborative European research initiative advancing artificial intelligence for agricultural science
Interdisciplinary by Design
Expertise across disciplines
By combining interdisciplinary expertise, AgriScienceFM develops next-generation AI systems capable of addressing complex agricultural challenges - built on a commitment to open science, transparency, and trustworthy, explainable AI
Our Approach
A modular AI strategy built around the natural structure of agricultural science
AgriScienceFM adopts a modular AI strategy built around the natural structure of agricultural science, enabling scalable and explainable agricultural intelligence. These systems work together to support scientific discovery and real-world agricultural applications
Environmental AI models
Spatio-temporal understanding of satellite, weather and soil
Language & decision models
Agronomy knowledge, advisory and decision support
Plant imaging & phenotyping
Growth analysis, disease detection and breeding
Consortium
Project partners
Partner institutions, universities, research centres and industry collaborators
Wageningen University & Research (WUR)
A world leader in life sciences, agriculture, food, and the environment
Stichting Wageningen Research
Leading Dutch foundation that conducts practical, applied scientific research.
University of Bonn
One of Germany's leading research universities, strong across the sciences and humanities
VITO
European research and technology organisation for sustainable innovation in energy, environment, and health
CERTH
One of Greece's leading research centres in advanced and digital technologies
Computer Vision Center (CVC)
Leading research institute in computer vision and AI, building visual-perception technologies for real-world applications
Inria
France's national research institute for digital science, computer science, and AI
Novelcore
A technology company building digital, data-driven solutions with software engineering and AI expertise
ILVO — Agriculture, Fisheries & Food
Flemish institute for sustainable agriculture, fisheries, food, and the bioeconomy
Barcelona Supercomputing Center (BSC)
Spain's national supercomputing centre, a European leader in high-performance computing, AI, and data science
University of Nottingham
Global research university strong in data science, engineering, environmental sciences, and health
McGill University
One of Canada's leading research universities in science, engineering, medicine, and technology
Funding Acknowledgement
AgriScienceFM is funded by the European Union under Horizon Europe Grant Agreement No. 101293777
Committed to open science, interdisciplinary collaboration, and responsible AI innovation for sustainable agriculture
FUNDING
Funded under the Horizon Europe programme
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