This approach involves collecting, processing, and analyzing data to optimize resource use, boost productivity, enhance crop quality, and increase profitability—tailoring decisions to spatial and temporal variability.

This work formed part of a comprehensive project spanning all stages: drone mission planning, optical image acquisition, AI-driven analysis, and the mobile app enabling farmers to pinpoint intervention areas.

The project exemplifies how technology can deliver practical solutions aligned with real-world operational needs, elevating quality and output capacity.

The app supports adding new fields linked to agricultural parcels, managing drone flight orders across various modes based on field traits, crop types, and planting timelines. Administrators can assign parcels for flights to Drone Operators by spatial or administrative criteria and monitor parcel status (flown or pending).