Three independent formulas, adapted from a farm operations planning spreadsheet, turn each slider into one economic outcome. The 3D bars and the miniature robot fleet on the field update every frame from the same numbers.
Robots required = ceil( Field area / (Coverage rate x Duty cycle) )
Coverage rate = 4 ha/hr per planter robot, Duty cycle = 16 hr/day
Yield = Baseline x (1 + Max gain x Adoption%)
Baseline = 5.2 t/ha, Max gain = 25% at 100% precision-ag adoption
Payback period = Fleet CAPEX / Annual profit
Annual profit = $112k/yr (fixed additional profit from the fleet)
- Field area — larger fields need proportionally more robots to finish a full pass within one 16-hour duty day; the fleet on the field grows to match (capped visually at 32 units, shown numerically beyond that).
- Precision-ag adoption — GPS-guided seeding, spraying and harvesting raise yield above the 5.2 t/ha conventional baseline, up to +25% at full adoption.
- Fleet CAPEX — more capital spent on the fleet stretches the break-even point against a fixed $112k/yr profit uplift; the payback bar shrinks as CAPEX grows.