Moscow, Russia
Climate lab analytics that anticipate crop stress
Crop Urbanis quantified how humidity, airflow, light spectra and CO₂ shifts influence plant physiology, translating findings into deployable climate recipes for controlled-environment operators.
Project overview
A Moscow-based research greenhouse invested in an artificial climate laboratory to test crop responses before rolling updates to commercial sites. Crop Urbanis was asked to design experiments, capture data and translate results into practical recipes that operators could trust.
Challenges & approach
- Experiments needed tight control over humidity, airflow and spectra without disrupting simultaneous trials.
- Data logging infrastructure lacked calibration, risking noisy signals and unreliable comparisons.
- Researchers required clear playbooks to apply findings to production greenhouses.
Our contribution
- Designed factorial trials covering humidity, temperature, airflow and CO₂ envelopes across three leafy cultivars.
- Installed calibrated sensors with automated QA alerts, harmonising data capture across chambers.
- Authored bilingual application guides linking lab findings to day-to-day set-points for commercial teams.
Outcomes & proof
| Metric | Result | Context |
|---|---|---|
| Protocol | Delivered | Factor design and controls |
| Sensor schema | Delivered | Data logging plan |
| Results brief | Compiled | Summary with figures |
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