This multi-agent system automates the agronomic decision logic that typically consumes hours of manual analysis, reducing the time from pest detection to prescribed action from days to minutes. It directly targets the operational bottleneck of correlating disparate data streams—drone imagery, weather APIs, and scouting logs—to make IPM-compliant recommendations. The savings come from preventing yield loss through faster, more accurate interventions and from reducing chemical overuse by 30-50% via precision targeting, directly improving input cost margins and supporting resistance management programs.




