Powering sustainable agriculture with data.
We bring together diverse agricultural datasets, spanning crops, livestock, microbes, pests, pollinators, and beyond, across genomics, phenotyping, soil metagenomics, imaging, and experiment metadata.
The platform enables seamless integration of in-house and public datasets, supporting joint analysis and re-use across stakeholders.
All tools and datasets follow FAIR (Findable, Accessible, Interoperable, Reusable) principles, supporting transparent, repeatable science.
We co-create tools with partners, building on EMBL-EBI infrastructure. Modular components are selected and funded collaboratively to meet specific R&D needs, with results feeding back into the wider community.
Our partnership model encourages cost-sharing, coordinated project development, and collaborative innovation, without intellectual property barriers.
Using bioinformatics, machine learning, and literature mining, we identify and prioritise novel traits, genes, and pathways relevant to crop resilience, productivity, and environmental impact.
We analyse soil biodiversity and function using advanced metagenomic and microbial datasets to inform sustainable land use and ecosystem stewardship.
We adopt and promote shared data standards to ensure consistency and interoperability across species and research domains.
“Through the Agri-Tech Partnership, we can transform real-life data into innovative solutions, driving significant advancements in agricultural research and global food security”

Projects and tools are modular, openly accessible where possible, and tailored to meet the specific needs of each partner. They are built on EMBL-EBI resources, including:
Comparative genomics
Microbiome and soil data
Molecular interactions
Gene and protein expression profiles
Expert domain knowledge can also be integrated from our other repositories.