If you are an equipment manufacturer dealing with inefficient pesticide application — this project developed smart sprayers and robot monitoring that can reduce pesticide use. By deploying these in the fall of 2025, you can offer customers real-time monitoring to demonstrate chemical savings.
AI-Driven Pest Surveillance and Precision Spraying System for High-Value Mediterranean Crops
Imagine having a digital security system for your farm that uses satellites, smart traps, and robots to spot pests before they cause damage. It's like having a 24/7 lookout that tells you exactly where to spray, so you don't waste chemicals on healthy plants. This helps farmers save money and keep their crops healthy using a single cloud-based dashboard.
What needed solving
Farmers in the Mediterranean struggle with quarantine pests that destroy high-value crops, often relying on blanket pesticide spraying that is costly and environmentally damaging. There is a lack of integrated, real-time data to pinpoint exactly when and where to treat crops.
What was built
A cloud-based AI platform that integrates satellite imagery, IoT insect traps, and robot sensing to generate risk maps and spraying recommendations.
Who needs this
Who can put this to work
If you are a vineyard or olive grove manager dealing with quarantine pests like Xylella fastidiosa — this project developed a cloud platform that merges satellite data and IoT traps. It allows you to track pests in real time and anticipate generation peaks to protect high-value crops.
If you are a software provider dealing with fragmented field data — this project developed a cloud platform that integrates Copernicus satellite indices, IoT trap counts, and citizen science data. This allows for the creation of automated risk maps and spraying recommendations via AI.
Quick answers
What is the cost or pricing model for the system?
Based on available project data, specific commercial pricing is not mentioned; however, the project received an EU contribution of EUR 4,891,830 to develop the technology.
Can this be scaled to industrial levels?
Yes, the project has already scaled to 99 traps in the second year and utilizes large-scale Copernicus satellite data for wide-area surveillance.
Who owns the IP and how is licensing handled?
Based on available project data, the IP details are not specified, but the consortium includes 10 industry partners, 7 of which are SMEs, suggesting a commercial focus.
How does this integrate with existing farm machinery?
The system integrates with variable rate sprayers and robots, with smart sprayers scheduled for deployment in the fall of 2025 to provide real-time onboard monitoring.
What is the timeline for full deployment?
The project runs from 2024-01-01 to 2027-12-31, with robot and smart sprayer deployment planned for the end of 2025.
Who built it
The consortium is heavily industry-weighted with a 71% industry ratio, comprising 10 companies (7 of which are SMEs). This structure, combined with 2 universities and 1 research center across 4 countries, indicates a strong drive toward commercialization rather than pure academic research. The inclusion of 5 end-users ensures the product is being built for actual market needs in Italy, Cyprus, and Spain.
Contact Universitat Politècnica de València
Talk to the team behind this work.
Contact us to connect with the CERBERUS consortium for licensing or pilot opportunities.