AIIC AI Intelligence Centre

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CAPACITATION OF A PORTUGUESE R&I CENTRE OF EXCELLENCE FOR PLANT PATHOGENS DETECTION AND CONTROL

CORDIS · observation · Publication date unknown

research in agrifood. This capacitation networking will use groundbreaking concepts of plant microbiome, precision detection, and engineering of synthetic communities (SynComs) of BCAs (supported by artificial intelligence, AI). BiomeHealth structure has six interdependent WPs: WP1 is for Coordination and Management; WP2 deals with R&I on precision detection and control of phytobiomes also challenged by climate change (as a case study we will use Pear/Apple trees under an RCP8.5 climatic scenario, and challenged with Erwinia amylovora, and Stemphylium vesicarium). New detection tools/matrices (e.g., aerobiomes), dynamics host-microbiome-pathogen, and SynComs, will be unveiled/tested for the RCP8.5 condition. WP3 (precision detection) and WP4 (Control using SynComs) are dedicated to the capacitation of Requimte/UP, with dedicated short-term visits, training/advanced courses, summer schools, etc. WP5 will build a sustainable structure through a R&I roadmap of Requimte/UP for 2030, and the creation of a Centre of Plant Pathogen Detection and Control. Finally, WP6 deals with disseminati

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recordType
award
status
SIGNED
region
EU
value
1499851.31
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.