AI Yield Forecasting Guide

The AI Yield Forecaster projects your harvest output based on current farm conditions and historical data.

Inputs that affect your forecast:

Total active bins and species mix

Current population estimates and mortality rates

Feed conversion ratio (FCR)

Environment health scores

Historical harvest data (improves accuracy over time)

Reading your forecast:

Projected Yield: Expected harvest in kg (live weight and processed)

Confidence Range: Low/mid/high estimates accounting for variability

Time to Harvest: Estimated days until optimal harvest window

Industry Comparison: How your projected output compares to published benchmarks

Improving forecast accuracy:

Keep population estimates up to date

Log environment readings consistently

Record all harvests with accurate weights

Maintain complete feed records for FCR calculations

Typical yields for Acheta domesticus:

1.0-1.5 kg live weight per m² per 6-week cycle

25-30% dry weight conversion

60-65% protein content (dry basis)