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.
Artificial intelligence
Agronomy
Plant sciences
Remote sensing
Climate science
Soil science
Data engineering
Agricultural policy
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.
Barcelona Supercomputing Center (BSC)
Spain’s national supercomputing centre, a European leader in high-performance computing, AI, and data science.
Computer Vision Center (CVC)
Leading research institute in computer vision and AI, building visual-perception technologies for real-world applications.
ILVO, Agriculture, Fisheries & Food
Flemish institute for sustainable agriculture, fisheries, food, and the bioeconomy.
CERTH
One of Greece’s leading research centres in advanced and digital technologies.
Inria
France’s national research institute for digital science, computer science, and AI.
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.
Wageningen University & Research (WUR)
A world leader in life sciences, agriculture, food, and the environment.
Novelcore
A technology company building digital, data-driven solutions with software engineering and AI expertise.
McGill University
One of Canada’s leading research universities in science, engineering, medicine, and technology.
University of Nottingham
Global research university strong in data science, engineering, environmental sciences, and health.
