Climate Management
Climate control that understands cause and effect—not just setpoints.
Sera continuously interprets how your greenhouse responds across climate variables, hardware behavior, external conditions, and crop demand—delivering plain-English explanations, root causes, and precise adjustments so you maintain optimal VPD, transpiration, and CO₂ utilization without constant manual intervention.
The challenge
Commercial greenhouse climate management is far more than hitting daily temperature, RH, and CO₂ targets. The real complexity lies in dynamic interactions that change hourly:
Sunrise/sunset ramps where heating lags, vents fight wind, or curtains delay—causing transient VPD spikes or RH drifts that stall transpiration.
Micro-climate quirks: cold corners, uneven radiation distribution, sticky vents, or sensor placement issues that trigger false or delayed alerts.
Conflicting demands: Maintaining high CO₂ for photosynthesis while minimizing energy use during price spikes, or balancing dehumidification load against heating pipe temperatures.
Subtle performance degradation: Gradual actuator lag, boiler short-cycling, or dehumidifier efficiency drop that only manifests as yield drag or quality defects after days or weeks.
Over-reliance on thresholds: Simple high/low alarms flood the team with noise, while real threats (transpiration stalls, condensation risks, energy-wasteful over-ventilation) go unnoticed until crop impact appears.
Inconsistent decision-making: Different growers interpret the same data differently—leading to variable leaf temperatures, uneven fruit set, or wasted inputs across shifts and sites.
Without understanding why the greenhouse is behaving the way it is, you end up chasing symptoms, burning energy, and accepting preventable variability in growth and quality.
How Sera helps
How Sera helps solve climate management challenges
Sera operates as the continuous reasoning layer above your climate computer, sensors, weather station, and energy data. It correlates millions of points in real time—physics-based models, historical cycles, your uploaded SOPs, and site-specific context—to explain behavior, predict short-term drift, and recommend exact interventions in natural language.
Daily climate intelligence delivered automatically
Morning brief (6 AM push): Prioritized natural-language summary of overnight and early-morning events.
"Overnight RH +8–11% in Zone 3 from 02:15–04:30—caused by delayed dehumidifier startup after pipe heat ramp (boiler load-shed rule). Transpiration reduced ~12% during window. Recommendation: Increase startup offset by 4 min or review load-shed threshold for low-radiation periods."
Top 3–5 deviations ranked by crop impact, with magnitude, duration, root cause, and prevention steps.
Instant root-cause diagnosis via chat
Ask questions as they arise and get contextual, hardware-aware answers:
"Why did VPD spike to 1.8 kPa at 09:30 in Block 2?" → "VPD rise driven by rapid radiation increase + curtain opening delay (motor response +38 s vs baseline). Leaf temp rose 1.4 °C above target; estimated transpiration reduction 15–18% for 22 min. Adjust curtain response curve or add radiation-triggered pre-open offset."
"Is heating lagging setpoint during sunrise transition today?" → "Yes—1.6 °C lag for 14 min at ramp start. Correlated to boiler short-cycling (min runtime rule) + circulation pump delay. Impact: RH +6% and minor condensation risk on lower canopy. Suggested fix: Raise min boiler runtime 2 min or disable load-shed during ramp window."
"Compare current dehumidification load vs. last week same crop stage."
Proactive anomaly detection and smart suppression
Detects complex issues thresholds miss:
Transpiration stalls from mismatched VPD and radiation.
Energy-wasteful ventilation overrides (e.g., vents opening against heating demand).
CO₂ stratification or uneven distribution patterns.
Suppresses nuisance alerts using your site rules:
"Ignore RH readings in cold corner Zone 3 during 09:00–10:30 misting."
"Do not flag vent lag <20% during high-wind periods (>18 km/h)."
Knowledge base enforcement for consistent climate strategy
Upload your climate SOPs, VPD targets by phenology stage, CO₂ enrichment protocols, energy management rules, and hardware quirks once.
Sera cross-checks every observation and recommendation:
"Current strategy aligns with your high-light VPD window (0.8–1.2 kPa); deviation only in Sector B due to shading asymmetry."
"CO₂ dosing reduced per energy protocol—photosynthesis impact estimated <3% based on current PAR sum."
Orchestrated responses to keep control tight
Intelligent alerts routed by severity: Grower for crop-impact issues, technical manager for hardware patterns.
Automated workflows:
Repeated lag detected → push diagnostic checklist to maintenance + create follow-up task + log for trend review.
Transient deviation contained → suppress follow-on alerts + log for cycle recap.
The results
ighter environmental control: Catch and correct drifts hours earlier—more stable VPD, consistent transpiration, reduced condensation/quality defects.
Lower energy intensity: Eliminate wasteful cycles (short-cycling, over-ventilation, delayed responses)—direct savings on gas, electricity, and CO₂ without compromising growth.
Reduced variability: Uniform execution of your climate strategy across shifts, teams, and sites—predictable fruit set, sizing, and Brix.
Less firefighting: Growers spend time optimizing instead of diagnosing; technical team focuses on prevention, not emergencies.
Data-backed confidence: Every decision traceable to cause-effect reasoning aligned with your protocols—not generic rules or gut feel.
You achieve climate performance that matches the precision of your crop targets—at scale and with lower operational burden.
