Precision agriculture uses GPS, sensors, drones and data analytics to manage field variability, applying inputs at variable rates where needed, improving input efficiency and generating field-level data that supports quality and sustainability documentation.
In trade practice
Suppliers using precision agriculture can produce variable-rate application maps, yield maps and soil sampling records that support traceability and sustainability claims during buyer audits. In Ukrainian grain and oilseed production, GPS-guided machinery and remote sensing are increasingly common, and the data generated can feed into export documentation or organic transition records. QA teams should verify that digital field records are timestamped and linked to specific parcels.
In a specification
A sustainability or traceability annex may require suppliers to confirm whether precision agriculture tools are used and to provide sample field records, such as application maps or yield data, on request.