Calculator · Yield uplift
What does 98.7% accuracy do for your yield?
Move the sliders. The uplift factors are benchmarked against the programmes we run with Taranis (4.5M images, 460 species) and FMC (300K hectares, seven models). Hover any figure to see the assumption.
Recommendation
Worth running the pilot.
Uplift and programme cost are in similar bands. A starter pilot on one sub-region gives you an in-season answer on whether the lift scales linearly across your full footprint.
Accuracy delta
+10.7%
From 88% → 98.7%
Yield uplift
+0.64%
On 50,000 ha of corn / maize
Annualised revenue impact
£514,000
Against a total programme revenue of £80,000,000 at £1600/ha.
Against a typical programme cost of £60,000–£180,000/year
2.9× – 8.6× return
See the assumptions
Revenue per hectare is a simplified UK-market band for corn / maize (£1,600/ha). Real farms sit in a wider range; use your own figure if you have one.
Yield-sensitivity coefficient (0.6×) scales how much a percentage-point of accuracy translates into recoverable yield. Specialty and tree crops are more sensitive than cereals because timing and disease-detection errors compound faster.
Accuracy floor of 98.7% is IndiVillage’s standard, held across programmes including Taranis (4.5M images across 460 weed species) and FMC (300K hectares, seven production models at 96% precision).
Programme cost band of £60,000–£180,000/year is illustrative for medium-complexity AgTech annotation. Your real quote depends on volume, modality, and service mix.
Not modelled: in-season reaction-time value, multi-year compounding, model-in-loop drift savings, input-cost reduction from fewer unnecessary spray decisions. All of these favour the lift further.