Imagine having security cameras for your crops — except instead of watching for thieves, they watch for harmful insects. Trapview built smart traps that automatically photograph and count pest insects, then send the data to your phone. Instead of driving out to check traps by hand, farmers get real-time alerts telling them exactly when and where to spray. The result: less driving, less spraying, healthier food, and insects that don't become resistant to pesticides.
Farmers currently waste significant time and fuel driving to fields just to check pheromone traps manually, and they often spray insecticides on a fixed schedule rather than when pests actually appear. This leads to excessive insecticide use, higher costs, pesticide residues in food, and growing insect resistance to chemicals. There is no affordable, automated way to get real-time pest data across large growing areas.
Trapview built an automated pest monitoring system consisting of smart traps with cameras, self-cleaning mechanisms, embedded environmental sensors, and computer vision for automatic insect identification. They also developed web and mobile applications for remote monitoring, machine learning models for regional pest prediction, and deployed an operational network of 1000+ traps in South Europe.
If you are a tomato grower dealing with Helicoverpa armigera infestations and spending time and money on manual trap inspections — this project developed an automated pest monitoring network of 1000+ smart traps with computer vision that identifies pest insects remotely. You get real-time alerts when spraying is needed, cutting unnecessary field visits and optimizing insecticide use.
If you are an agrochemical company looking for data-driven insights on pest insect occurrences across regions — Trapview built machine learning models that aggregate data from dense trap networks to predict pest outbreaks on a larger geographical scale. This turns raw field data into advisory intelligence you can sell or use to time product recommendations.
If you are an agricultural advisory service struggling to give timely pest management recommendations — Trapview developed web and mobile applications that present aggregated pest monitoring data with statistical forecasting models. This lets you move from reactive advice to predictive alerts, covering more clients with fewer field scouts.
Trapview already had revenues of €600k/year from selling 1000+ traps before this project. The project aimed to shift from a product-selling model to an information-selling model, adding agriculture advisory and data services for agrochemical companies. Specific pricing per trap or subscription is not disclosed in the project data.
Yes. The project specifically deployed a dense network of 1000+ improved traps across South Europe to monitor Helicoverpa armigera in tomatoes. Machine learning models were developed to aggregate data from this network and predict pest occurrences on a larger geographical scale, which is designed for multi-region coverage.
Trapview is a commercial product owned by EFOS Ltd., a Slovenian SME that is the sole consortium partner. As a single-company SME Instrument project, all IP stays with EFOS. Licensing or white-label arrangements would need to be negotiated directly with them.
The project invested in improving computer vision automatic insect detection accuracy as a core objective. Deliverables include robust embedded electronics and firmware with additional environmental sensors to increase predictive model accuracy. Specific accuracy percentages are not stated in the available project data.
The project focused specifically on Helicoverpa armigera in tomato crops in South Europe. However, the underlying technology — pheromone traps with camera-based monitoring and computer vision — is adaptable to other pest species. Based on available project data, the existing product line already covered multiple pests before this project.
The project demonstrated that installation is handled by EFOS distributors and subcontractors under EFOS staff supervision, with remote operational testing. The system includes both web and mobile applications for immediate data access. Based on deliverable descriptions, the deployment process appears streamlined for rapid field setup.
This is a single-company project: EFOS Ltd., a Slovenian SME, received the full €1,141,350 through the EU's SME Instrument Phase 2 — a highly competitive funding scheme reserved for high-growth SMEs with strong commercialization plans. There are no university or research institute partners, which means all development and IP sits within one commercial entity. For a business buyer, this simplifies things: there is one point of contact, no academic co-ownership disputes, and the company was already generating €600k/year in revenue from 1000+ traps sold, indicating real market validation rather than a lab experiment.
EFOS Ltd. (Slovenia) — contact through their website trapview.com or through SciTransfer for a qualified introduction
Want to explore Trapview's pest monitoring technology for your operations? SciTransfer can arrange a direct introduction to the team behind this EU-backed solution.
