Greenhouse

Under Tech for Nature — sensors, automation, and a simulator lab for our smart greenhouse in Cyprus.

Tech for Nature logo

Part of Tech for Change, this system shields plants from extreme heat, smoke, and weather chaos while automation keeps growing conditions stable.

Problem

Manual farming in Cyprus faces water waste, heatwaves, fire-smoke stress, and labor pressure.

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Solution

Our smart greenhouse uses sensors and a controller (Arduino/Raspberry Pi) to make real-time decisions.

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Result

Healthier plants, up to 47% less water waste, and stronger food security during drought.

The Smart Greenhouse Automation System is a technically sophisticated, cost-effective solution designed to optimize plant growth through integrated sensing, automated control, and renewable energy. An Arduino UNO microcontroller manages temperature, light intensity, and physical access autonomously.

In simpler terms: an automated environment built to hold plants and give them what they need without constant human intervention. The class also used micro:bit in programming so it could use all the sensors needed for the electronic part of the smart greenhouse.

Product prototyping prevents bugs. Ecosystem prototyping prevents system failure — because the greenhouse is a network, not just one device.

What we use

💧Soil moisture — tells the micro:bit when soil is too dry and needs water
💨Humidity — measures moisture in the air
🌡️Temperature — keeps the greenhouse from being too hot or too cold
💡Light — plants need light to survive and grow
🌪️Atmospheric pressure — can detect weather changes like upcoming storms
☀️UV — from the sun or special lights; helps plant development
🚿Water temperature & quality — different plants need different water conditions
🔔Buzzer — alert for overheating or severe weather
🔊Sound (optional) — some believe vibrations from music may help plants grow
🧠Controller — Arduino UNO / micro:bit runs rules for fans, pumps, and vents
🪟Vent motor — opens windows automatically at high heat

Example rule: if temperature reaches 28°C, vents open; if soil is dry, precision irrigation starts.

Greenhouse Simulator Lab

We do not have the physical greenhouse yet, so this interactive simulator models how sensor data and automation can control growing conditions.

Live Sensor Controls

Live Weather Mode

Choose a location and sync real weather into the simulator controls. Or explore anywhere on the live weather map.

Live weather is off.

Live Sensor Mode

Connect your sensor and sync real readings into the simulator.

Live sensor is off.

Live Greenhouse State

Live weather is off.

Temperature (°C)

26.0 °C

Soil moisture (%)

62 %

Raw: -

Light (%)

70 %

Raw: -

Greenhouse humidity (%)

58 %