Liaoning, China
Research linking leaf temperature to yield resilience
Crop Urbanis executed a controlled study capturing leaf temperature, yield and disease data to define optimal climate setpoints for leafy greens in vertical farms.
Project overview
A vertical farming consortium wanted evidence-backed climate setpoints to improve yield predictability. Crop Urbanis conducted a detailed study in Liaoning capturing environmental and production data.
Challenges & approach
- Need to monitor leaf temperature accurately without disrupting operations.
- Data had to account for multiple varieties and growth stages.
- Findings required translation into actionable climate playbooks for operators.
Our contribution
- Deployed non-contact sensors and logging infrastructure across trials.
- Analysed data per variety and growth stage, modelling correlations with yield and disease incidence.
- Authored climate setpoint playbooks with alert bands and mitigation actions.
Outcomes & proof
| Metric | Result | Context |
|---|---|---|
| Experiment protocol | Delivered | Temp bands vs yield |
| Data schema | Delivered | Logger + sampling plan |
| Results brief | Compiled | Trend summary |
Inline FAQs
How do operators apply these findings?
The playbooks provide HVAC setpoints, alert thresholds and corrective actions tied to sensor readings.
Does the temperature range change per crop?
Yes—we documented adjustments for different leafy greens; operators can reference crop-specific tables.
Project gallery