IOT-Enabled Smart Greenhouse with Climate Prediction and Autonomous Irregation using Raspberry Pi Pico

Abstract

This project presents an IoT-enabled Smart Greenhouse using Raspberry Pi Pico for automated climate control and irrigation. Sensors measure temperature, humidity, soil moisture, and pollution levels in real time. The system leverages IoT for remote monitoring and data analysis via a cloud platform. A machine learning model predicts climate conditions, enabling proactive adjustments. An autonomous irrigation system regulates water flow using an AC pump, optimizing water usage. A regulated power supply ensures reliable operation. The LCD monitor displays live data, while a buzzer alerts users to critical conditions. This system enhances crop yield, reduces manual intervention, and conserves resources. The integration of smart farming techniques promotes sustainable agriculture.