Imagine a high-tech security checkpoint for plants. Instead of just looking at leaves, this system uses electronic noses, drones, and smart robots to sniff out and spot hidden diseases in citrus fruits. It's like having a digital blood test and an X-ray for plants to stop pests from entering the country.
Citrus imports are threatened by diseases like CBS and HLB, which are hard to detect quickly at borders. Current manual inspections are slow and may miss early-stage infections, risking massive agricultural losses.
A suite of diagnostic tools including RPA kits, fluorescent sensors, AI mobile apps, hyperspectral UAVs, autonomous robots, and e-Nose sensors for pest detection.
If you are a logistics firm dealing with citrus imports and the risk of quarantine delays — this project developed AI-powered mobile apps and e-Nose sensors that provide rapid detection. This reduces the time plants spend at border control points.
If you are a robotics company dealing with the need for specialized crop monitoring — this project developed autonomous mobile robots and UAVs for AI imaging of biotic symptoms. This allows for the creation of automated health-screening products for orchards.
If you are a government agency dealing with the spread of HLB and CBS diseases — this project developed a systemic alert system with blockchain and ML analytics. This enables informed decisions for import control at authorized Border Control Posts.
Based on available project data, the specific unit price for the tools is not listed, though the total EU contribution for development is EUR 3,526,150.
Yes, the project includes validation in citrus orchards across the USA, Uganda, Vietnam, and Cyprus, and demonstrations at authorized Border Control Posts in Greece, Italy, Spain, and Cyprus.
Based on available project data, specific licensing terms are not provided, but the project involves 15 partners including 5 SMEs and 5 industry entities.
The systemic innovations are designed to be incorporated into the EFSA Survey Cards and linked to a systemic alert system using blockchain and ML analytics.
The project period runs from 2025-09-01 to 2028-08-31.
The consortium is well-balanced for commercialization, featuring a 33% industry ratio with 5 industry partners and 5 SMEs. With 15 partners across 8 countries, the project has a strong global footprint, combining academic research from universities with practical application in diverse geographic markets like the US, Vietnam, and Uganda.
Contact ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXOS in Greece
Contact us to explore licensing opportunities for the AI-powered citrus diagnostic tools.
