This agentic workflow targets the critical operational bottleneck of harvest uncertainty, where last-minute logistics scrambles and suboptimal marketing decisions erode margin. By ingesting late-vegetative drone data—canopy cover, plant height, NDVI—and fusing it with hyper-local weather forecasts, it generates a 10m-grid yield variance model 60 days pre-harvest. The architecture replaces guesswork with a quantified forecast, enabling precise allocation of labor, drying capacity, and grain storage, while providing a proprietary edge for forward contracting based on field-level potential.




