Objective
EmergeNOW uses digital, molecular tools for rapid CBS, HLB detection, enabling early warning at EU import points. Consortium introduces novel tools and autonavigated robots for inspectors: a) on-site Phyllosticta citricarpa (P.c) and Candidatus Liberibacter’ (Ca. L) species rapid detection a molecular tool based on Recombinase Polymerase Amplification kits, b)Fluorescent Array-based Sensing Technology for P.c and Ca.L rapid detection, c) Artificial Intelligence- powered mobile apps for rapid CBS and HLB image analysis detection integrated with low-cost hyperspectral imagers, d) UAVs for AI-based RGB and hyperspectral imaging of abiotic and biotic symptom response of CBS and HLB and similar to these; e) Autonomous Mobile Robots for HLB and CBS AI imaging symptoms detection discriminate from abiotic stress. Also, deployment plans are in place for detecting the vector Diaphorina citri (ACP), Trioza erytreae (T.e ), and Cacopsylla citrisuga (C.c) by: f) e-Nose sensors, g) AI - based robotic traps for real time detection and monitoring, and h) AI-powered mobile apps for their early detection. Τhese systemic innovations could be incorporated in the EFSA Survey Cards. Digital tools link in systemic alert system with blockchain, ML analytics and will enable informed decisions for import control. Focusing on showcasing real problem scenarios, the developed tools and methods will be initially tested and optimised in biosecure enviroments at Plant Health Centers (PHC) and afterwards validated in citrus orchards in USA (CBS, HLB, ACP), Uganda (CBS, HLB, T.e) Vietnam (HLB, ACP, C.c) and in Cyprus (ACP). The optimised tools will be demonstrated in authorized Border Control Posts in Greece, Italy, Spain and Cyprus.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencescomputer securitycryptography
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
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Keywords
Programme(s)
Call for proposal
(opens in new window) HORIZON-CL6-2024-FARM2FORK-02
See other projects for this callFunding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
57001 Thermi Thessaloniki
Greece