SOURCE-LINKED INTELLIGENCE

Crop resilience through AI-guided microbiome engineering

CORDIS · observation · Publication date unknown

luation, constrained by our limited understanding of the ecological and molecular rules governing plant microbiome assembly and function. By uniting crop science, microbial ecology, data science and Artificial Intelligence (AI), NOAH will establish the first AI foundation model for crop microbiomes: ARCA (AI-guided Root microbiome engineering for ClimAte-resilient and nutritious crops). Building on the deterministic principles of microbiome assembly, NOAH’s ARCA integrates microbial functional traits, host genotype, and environmental metadata to model and design microbiome configurations that optimize crop performance. ARCA will be trained on over 300,000 curated public microbiome datasets, enhanced by large language model-driven metadata extraction, and tailored using high-resolution data from five major crops: wheat, tomato, faba bean, oilseed rape, and apple across diverse soils and stress conditions. Iterative design–build–test–learn (DBTL) cycles under controlled and field conditions ensure a progressive refinement of model accuracy and generalization. NOAH will deliver a pre

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recordType

award

status

SIGNED

region

EU

value

3998992.5

unit

EUR