This automation workflow targets the critical post-planting bottleneck of manually verifying seed placement and early crop establishment. By processing drone-captured RGB imagery against the original seeding map, it automates plant counting, identifies skips and doubles, and calculates zone-specific emergence rates. The operational upside comes from enabling same-day replant decisions, preventing yield loss from poor stands, and optimizing input use by guiding precision drills to fill gaps, directly impacting seed cost and final yield per acre.




