Digital Greenhouse: Predictive Agronomy & Closed-Loop Control

Sessions:

  • Managing Water, Nutrients & Biosecurity
  • Crop growth models + RL controllers; adaptive lighting/CO₂ strategies; genotype × environment × management.
  • HVAC/dehumidification optimization; demand response; waste-heat reuse; battery + PV sizing.
  • Fertigation control with online ion sensing; recirculation & pathogen risk; anomaly detection in loops
  • Spectral imaging & canopy analytics; calibration/QA of low-cost sensors; what do we do with all this sensor data? MQTT/OPC-UA → lakehouse patterns.

Outcomes: Energy KPI pack (kWh/kg, kg CO₂e/kg); interop with BMS/EMS.
Outcomes: Risk-scoring framework; nutrient-controller reference designs.