I’m looking for courses that genuinely dig into sensor-driven climate control rather than rehashing basics. Specifically, I want instruction on multi-zone VPD targets, staged dehumidification during 02:00–05:00 leaf-wet windows, and practical PID tuning for vents/screens with real datasets (Priva/Argus) and calibration workflows (e.g., Vaisala HMP110 checks at 75% RH). If you’ve taken something recently, how actionable was it for reducing botrytis pressure while keeping kWh/m² in check?
I tamed the 02:00–05:00 leaf-wet window by bumping headspace VPD +0.2 kPa above canopy, staging dehu 35/70/100%, and slowing I to 900 s — , overshoot finally stopped. > tuning for vents/screens with real datasets (Priva/Argus) and calibration workflows (e.g., Vaisala HMP110 checks at 75% RH). Same goal here — run a 10% vent step test after lights-off, keep P≈0.7, I≈900 s, D=0, and verify the HMP110 at 75% RH (NaCl) before trusting logs. Best course I’ve taken was Wageningen’s Greenhouse Climate Control (advanced); great on multi-zone VPD and PID with Priva data, but they mostly skip screen hysteresis.
Quick example: I’ve had better luck pre‑dawn by targeting a 1.2–1.5°C dewpoint spread above leaf temp and adding a small feed‑forward bump from outside RH between 02:00–05:00 so VPD doesn’t yo‑yo. For vents/screens, two‑DOF PID with integral clamp and derivative on measurement stopped our hunting, but only after matching the sample time to actuator travel (otherwise you’re ghost‑chasing). If you want structured training with real datasets, Hoogendoorn Academy’s advanced modules cover PID and dewpoint control well: https://www.hoogendoorn.nl/en/academy/.