Forest Department: Automated Greenhouse Humidity & Temperature Control System

Advanced vision & sensor automation enabling optimal climate control and streamlined greenhouse operations.

Client: Forest Department
Industry: Greenhouse Plant Cultivation & Environmental Management

Challenge

Variable Micro-climate and Manual Oversight Bottlenecks

Manual climate regulation in greenhouse facilities led to inconsistent temperature/humidity levels, increased plant stress, and labour-intensive control. The process required continual monitoring and adjustment, slowing operations and risking crop quality.

  • Temperature fluctuations outside optimal ranges affecting plant growth.
  • Humidity control challenges causing mould or dehydration risks.
  • Manual monitoring required constant attention and limited scalability.
Solution

Sensor-Driven Automated Climate Control with Real-Time Feedback

Sunbio IT Solutions implemented an integrated sensor + control system with high-precision temperature & humidity sensors, real-time analytics and automated actuation to maintain ideal greenhouse conditions.

  • Precision Sensors: Real-time monitoring of temperature & humidity ±0.5 °C / ±2 %RH tolerance.
  • Automated Actuation: Fan, heater, misting, ventilation systems triggered automatically by PLC logic.
  • Continuous Loop Monitoring: Dashboard & alert system for deviations, enabling operator-free sustained control.
Results

Optimised Environment & Operational Efficiency

Metric Before Automation After Automation Improvement
Temperature Stability±4 °C swing±1 °C swing75% improvement
Humidity Variance±12% RH±3% RH75% improvement
Manual Oversight Hours10 hrs/day2 hrs/day80% reduction
Plant Stress Incidents12 per month1 per month≈92% reduction

The Forest Department achieved much tighter environmental control, lower labour demands, and healthier plant growth through the automation solution.

Next Phase

Towards Fully Autonomous Greenhouse Operations

  • Robotic Integration: Autonomous tray and plant handling for zero manual transfer.
  • Predictive Analytics: AI-based forecasting of plant needs & automated scheduling of climate adjustments.
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