SIP 7
Collaborative Development of Open-Source
Aerial Detection ADS (Co-AgriADS)
Sector: Olive Oil / Vineyards – Precision Agriculture / Crop Monitoring
Country of the Pilot: Greece
About the SIP
Co-AgriADS addresses the growing need for smarter, data-driven monitoring of olive groves and vineyards in Crete, where climate change, pest infestations, and weather extremes have caused serious drops in production and profitability.
The SIP develops a collaborative, open-source aerial detection system that uses drone-based imaging, edge computing, and cloud analytics to support precision farming. Built on the OpenAgri Common Semantic Model, it ensures full interoperability and transparent data exchange with other OpenAgri services.
The Problem
In recent years, Greek olive oil production has fallen sharply due to extreme weather, poor fruit set, and increased pest pressure. Farmers often rely on visual inspections, which are time-consuming, subjective, and reactive. These limitations delay timely interventions and contribute to unnecessary use of water, agrochemicals, and fuel.
At the same time, rural connectivity gaps limit access to cloud-based precision agriculture tools, leaving small and medium farmers without affordable, data-driven solutions for crop monitoring and decision support.
The Solution
Co-AgriADS introduces an open, hybrid cloud/edge agricultural digital solution that merges drone-captured imagery with real-time environmental and soil data to deliver actionable insights for farmers.
- Cloud-based ADS: Data collected from UAVs (RGB, multispectral, thermal, and AI-powered cameras) are processed through open-source software to generate 3D field models and orthomosaics. Advanced algorithms analyze crop health, soil moisture, and pest or disease presence, providing farmers with an interactive management dashboard.
- Edge-based ADS: On-board Raspberry Pi and Linux Box modules process data locally, enabling real-time analysis and alerts in fields with poor connectivity. When internet access becomes available, data automatically sync with the cloud.
Both versions integrate the OpenAgri Common Semantic Model for data interoperability and the OpenAgri Weather Data Service for localized forecasting. Together, these components empower farmers with early detection of stress factors, optimized irrigation and spraying plans, and more sustainable use of inputs.