AI-Assisted Greenhouse Microclimate Diagnostics & Optimisation
Understand the Invisible. Visualise the Problem. Optimise the Environment.
Modern greenhouses can experience hidden environmental problems that conventional monitoring may not fully reveal.
Key Challenges
1. Condensation & Excessive Humidity
High humidity, temperature differences and poor air circulation can contribute to condensation and create favourable conditions for fungal diseases.
2. Heat Accumulation & Energy Consumption
Uneven airflow and insufficient ventilation can cause localised heat accumulation, increasing cooling requirements and operating costs.
How Our Platform Works
Facility Configuration — Enter greenhouse dimensions, structure and ventilation parameters.
Computational Analysis — Assess airflow distribution and environmental conditions.
Visual Diagnostics — Identify potential low-velocity areas and airflow dead zones.
Microclimate Risk Assessment — Evaluate relevant indicators, including temperature and dew-point relationships.
Optimisation Recommendations — Support ventilation management and energy-efficiency decisions.
Key Capabilities
Airflow distribution visualisation.
Potential dead-zone identification.
Temperature and dew-point assessment.
Microclimate risk analysis.
Ventilation optimisation recommendations.
Diagnostic reporting.
Our Approach
By combining computational airflow modelling with AI-assisted analysis, NEWKIS.STUDIO™ aims to make advanced greenhouse diagnostics more accessible and practical.
Making Greenhouse Intelligence More Accessible.