Calibrate · Location M (greenhouse · existing)
The twin starts from the baseline numbers
The baseline planning model already encodes how the greenhouse behaves — cycle lengths, density, success rates, the expected price calendar. Calibrate captures those as the ledger and lists the recorded streams that will replace each estimate with measurement.
Structure
42
kappen × 780 m² ≈ 3.3 ha
Cycle length
67–75
days · summer → winter, lighted
Density · success
47–59.8
plants/m² · 85–90% by season
Turnaround
0 wk
clear + replant in the same week
Seasonal cultivation table — the ledger behind the plan
From the baseline model (validated by replication). Registered per-kap durations will replace this fixed table at intake.
| Planting season | Cycle (days) | Density (pl/m²) | Success | Price context at harvest |
|---|---|---|---|---|
| Summer plantings | 67 | 59.8 | 90% | harvest into autumn peaks (wk 41–44 grandmother's day window) |
| Shoulder | 70–72 | 52–56 | 87–90% | school-start bump (wk 33–34), steady clock prices |
| Winter plantings | 75 | 47 | 85% | harvest into the Women's Day window (wk 05–10, price peak) |
Data streams — recorded on site, pending intake
Confirmed available (2026-07-13). Each intake upgrades one model assumption to measurement — and extends planning to the other four locations and colors.
| Stream | Source system | Status |
|---|
Why intake order matters
Realized prices per color are the highest-value stream.
The plan currently optimizes against the estimated price curve. Three to five years of realized weekly prices per color turn the Women's-Day scenarios in Plan from assumptions into fitted distributions — and unlock per-color planting decisions across all five locations. Cycle-duration registrations come second: they tighten the occupancy model the contracts depend on.