Smart Greenhouse IoT Platform
IoT-based greenhouse monitoring and automation system using sensor networks and machine learning for optimal crop yields.
Client
Fergana Agro
Industry
agriculture
Year
2023
Technologies
ArduinoRaspberry PiMQTT
Challenge
Agricultural greenhouses in the Fergana Valley operated manually, with no data-driven insights on temperature, humidity, soil moisture, or optimal watering schedules.
Solution
We deployed a network of Arduino and Raspberry Pi sensors connected via MQTT to a central dashboard. Machine learning models predict optimal irrigation and ventilation schedules based on historical and real-time data.
Results
30% water savings, 20% increase in crop yield, and remote monitoring capabilities that reduced on-site labor by 50%.