Fuel burn is the single largest variable cost in large-scale harvesting, directly eroding margin. A custom automation workflow addresses this by ingesting topographic data, real-time engine telemetry, and fuel consumption models to calculate the most efficient path for each machine. This eliminates unnecessary turns, idle time, and suboptimal sequencing that waste 15-25% of fuel. The solution requires integrating with John Deere Operations Center or CNH's AFS for field data and machine CAN bus for live telemetry, creating a closed-loop system where route plans are dynamically adjusted based on actual load and ground conditions.




