This workflow directly targets the operational bottleneck between identifying a field problem and executing a solution. It automates the manual, error-prone process where agronomists must export detection shapefiles, apply agronomic rules for product rates and no-spray zones, and format maps for specific equipment controllers. The savings come from compressing a multi-hour GIS task into minutes, ensuring treatment accuracy, and enabling same-day response to protect yield. The architecture ingests geotagged detections (weeds, disease, stress) from a computer vision pipeline and applies a rules engine configured for crop type, product labels, and regulatory buffers.




