A precision agricultural UAV system combining real-time soil pH sensing, onboard telemetry, and automated lime-application flight paths — introducing data-driven precision agriculture to North Macedonia.
Soil pH is one of the most critical factors in crop productivity — yet conventional monitoring methods are slow, expensive, and spatially limited. Traditional land analysis costs over €100/ha and produces only sporadic, non-continuous data. Lime broadcasting is uniform and wasteful. Neither approach supports intelligent, field-specific intervention.
Agri-pHLy was designed to solve this: a complete UAV-based system that measures soil pH continuously across a field, maps the variation spatially, and autonomously applies corrective treatment only where needed.
The system integrates three core engineering layers into a single flight-capable platform:
The project was co-developed by Mario Blazevski (engineering lead — UAV design, embedded systems, flight controller, telemetry) and Iva Aleksovska (agronomy and sensor calibration lead), with mentorship from Vita Nova Consulting. The team presented the full working prototype — drone, sensor module, live dashboard, and autonomous path data — at the EIT Food Challenge Labs Macedonia 2025 Demo Day.
Agri-pHLy was selected as one of three winning startups at the EIT Food Challenge Labs Macedonia 2025 competition, organised by Vita Nova Consulting in partnership with EIT Food and co-funded by the European Union. The team was awarded a €500 innovation voucher to accelerate development.
The project is cited on the EIT Food website as a standout example of student-led agri-tech innovation in the Western Balkans region.
Agri-pHLy is the first UAV-based precision agriculture system demonstrated in North Macedonia — establishing a proof of concept for data-driven, variable-rate soil amendment that reduces input costs by an estimated 20–40% compared to uniform application methods while improving crop yield consistency.
Seasonal and hourly solar irradiance data (kWh/m²) — used to optimise drone operational windows, solar-hybrid energy modelling, and flight campaign scheduling throughout the year.
Solar irradiance by hour and month — Agri-pHLy operational data. Peak values reach 64+ kWh/m² in July (10–12h). Annual operational window spans March–November.
From hardware assembly to the live EIT Food Challenge Labs 2025 demo — Agri-pHLy in full detail.
We design and build custom UAV platforms — from sensor integration and embedded control to autonomous flight and telemetry. Get in touch to discuss your requirements.