Imagine having a team of small robots — some driving between trees, some flying overhead — that check on every single hazelnut tree in your orchard, one by one. They spot which trees need water, which ones have pests, and which are doing fine, then report everything back to a central control system that can automatically adjust irrigation or alert you to problems. It's basically the same kind of automated monitoring that factories use on production lines, but adapted for orchards. The whole thing was tested at full scale on a real hazelnut orchard in Italy.
Managing large hazelnut orchards today means treating entire fields uniformly — same watering, same pest treatments — because you simply can't check thousands of trees individually. This leads to wasted water, excessive chemical use, missed pest outbreaks, and uneven yields. Growers need a way to monitor and respond to each tree's specific needs without multiplying their labor force.
The project built a full SCADA system for orchards combining autonomous ground robots and aerial drones that collect per-tree data, a central control unit that integrates this data and triggers automated actions like irrigation adjustment, and demonstrated the complete system at 1:1 scale on a real hazelnut orchard with 3 dedicated demo deliverables including video documentation.
If you are a hazelnut grower managing large orchards and struggling with uneven yields and late pest detection — this project developed a SCADA system with ground and aerial robots that monitors each individual tree. The system was validated at 1:1 scale on a real hazelnut orchard, targeting increased production while decreasing chemical inputs and water usage.
If you are an AgTech company looking to expand into permanent crop monitoring — this project built and field-validated autonomous terrestrial and aerial robotic vehicles for orchard environments. The integrated platform combines robot-collected data with automated feedback actions like irrigation regulation, offering a ready-to-license technology stack tested across 6 partners in 4 countries.
If you are a food company that depends on consistent hazelnut supply and worries about crop variability — this project's per-tree monitoring enables suppliers to detect limiting factors early and apply targeted interventions. The result is healthier orchards with more predictable output and reduced chemical residues, directly supporting sustainable sourcing commitments.
The project did not publish per-hectare deployment costs. The system combines aerial drones, ground robots, sensors, and a central SCADA unit — so costs would depend on orchard size and how many robotic units are needed. Contact the consortium for pricing estimates based on your specific operation.
The project was designed and validated specifically for hazelnut orchards (Corylus avellana L.). However, the underlying architecture — robots collecting per-tree data fed into a SCADA system — is conceptually transferable to other permanent crop orchards like olives, almonds, or apples. Adaptation would require new calibration and possibly different sensor configurations.
The consortium of 6 partners across 4 countries jointly developed the technology under EU Horizon 2020 rules. IP is likely shared among the partners, with the coordinator (Universita degli Studi Roma Tre) as the primary contact. Licensing terms would need to be negotiated directly with the consortium.
Yes. The project completed robotic vehicles field validation and a final demo on a real-world 1:1 scale hazelnut orchard. These are documented in dedicated deliverables including video evidence of both the robotic field tests and the integrated system demonstration.
The system is built around a SCADA architecture — the same supervisory control approach used in industrial automation. It includes a central operative unit that integrates data from multiple robotic sources and can regulate systems like irrigation automatically. Integration with existing farm software would depend on your current setup.
The project specifically targets decreased chemical inputs usage through more focused Integrated Pest Management. By detecting pest and disease issues at the individual tree level, treatments can be applied only where needed rather than across the entire orchard, which directly supports compliance with EU pesticide reduction regulations.
As a completed EU research project (ended October 2021), ongoing commercial support is not guaranteed. The consortium includes 2 industry partners who may offer deployment services. The project website and coordinator can provide current status on commercialization efforts.
The PANTHEON consortium brings together 6 partners from 4 European countries (Belgium, Germany, Italy, Luxembourg), with a 33% industry ratio — 2 industry partners alongside 4 universities, including 1 SME. The coordinator is Universita degli Studi Roma Tre in Italy, which anchors the project in a major hazelnut-producing country. For a business considering this technology, the mix of academic robotics expertise and industry involvement suggests solid technical foundations, though the relatively university-heavy composition means commercial deployment readiness may require additional industrial partnering to bring it to market.
The coordinator is Universita degli Studi Roma Tre (Rome, Italy). SciTransfer can help locate the project coordinator's direct contact for licensing or collaboration discussions.
Want to explore deploying robot-assisted orchard monitoring in your operations? SciTransfer can connect you directly with the PANTHEON research team and help evaluate fit for your specific orchard setup.
