If you are a service provider dealing with fragmented pest monitoring for clients — this project developed a Plant Surveillance System that combines drones and AI to provide real-time detection and response recommendations.
AI-Powered Early Warning and Detection System for Crop and Forest Pest Management
Imagine having a digital security system for your farm that spots pests before they even arrive. It uses satellites and drones as eyes in the sky and smart sensors on the ground to alert you instantly. Once a problem is found, it gives you a precise recipe for how to stop the spread without overusing chemicals.
What needed solving
Current plant health monitoring is fragmented and slow, leading to billions of euros in crop losses and forest degradation due to invasive pests.
What was built
A three-part Plant Surveillance System consisting of an IoT-based early warning system, a drone/satellite detection tool with a mobile app, and a data-driven response system for containment.
Who needs this
Who can put this to work
If you are a forest manager dealing with invasive pests that cause billions of euros in degradation — this project developed a remote sensing and satellite-based detection system to identify outbreaks early.
If you are a public authority dealing with the spread of quarantine pests across borders — this project developed a coordinated surveillance platform to improve rapid response and containment measures.
Quick answers
What is the cost or pricing for the STELLA system?
Based on available project data, no specific pricing or cost structures are mentioned as the project is currently in the development and validation phase.
Can this be scaled to industrial levels?
The system is being validated in 6 Use Case Pilots across 5 countries, covering diverse environments like orchards and vineyards, suggesting a design intended for wide-scale application.
How is the IP and licensing handled?
Based on available project data, specific licensing terms are not provided, but the project aims to deliver practical tools and methodologies for adoption beyond its lifetime.
How does this integrate with existing farm equipment?
The system integrates via IoT sensors, mobile applications, and remote sensing data, allowing it to work alongside existing digital tools used by farmers and agronomists.
What is the timeline for deployment?
The project runs from 2024-01-01 to 2027-12-31, with the first 18 months focused on development and validation.
Who built it
The consortium is well-balanced for commercialization, featuring 14 partners with a strong industry presence of 36% (5 industrial partners). The high concentration of SMEs (7 partners) suggests a focus on agile development and market entry, while the inclusion of 3 universities and 2 research centers ensures the AI and sensor technology is grounded in scientific rigor.
Contact GEOPONIKO PANEPISTIMION ATHINON in Greece
Talk to the team behind this work.
Contact us to connect with the STELLA consortium for pilot opportunities.