Скачать или смотреть Automated Polyhouse Using IoT & Machine Learning | Smart Greenhouse with Raspberry Pi

🌱 Project Overview
This project demonstrates an Automated Polyhouse (Smart Greenhouse) system developed using IoT (Internet of Things) and Machine Learning technologies. The main goal of this project is to create an intelligent and self-sustaining environment for plant growth by monitoring and controlling key parameters such as temperature, humidity, soil moisture, and light intensity.

The system uses a Raspberry Pi (RPI) as the central controller, integrated with various IoT sensors and actuators to ensure optimal plant growth conditions. Real-time data is collected, analyzed, and used for predictive automation through machine learning algorithms.

🌡️ Key Features

IoT-Based Monitoring: Continuous tracking of environmental conditions (temperature, humidity, soil moisture, and light).

Automatic Control: Automated operation of fans, water pumps, and lights based on real-time sensor data.

Machine Learning Integration: Predictive decision-making for optimized irrigation and ventilation cycles.

Data Visualization: Real-time dashboard and cloud storage for analytics and reporting.

Remote Access: Control and monitor the greenhouse environment from anywhere using a web or mobile interface.

🔧 Technologies & Components Used

Raspberry Pi as the main controller

DHT11/DHT22 for temperature and humidity sensing

Soil Moisture Sensor for irrigation management

LDR Sensor for light control

Relays and Actuators for switching devices

Python, Node-RED, and MQTT for IoT communication

Machine Learning Model (Regression/Classification) for predictive automation

Cloud Platform (Firebase / ThingSpeak / AWS IoT) for data storage and visualization

💡 Learning Outcomes
By following this project, you’ll learn how to:

Design and implement IoT-based automation systems

Integrate sensors, actuators, and Raspberry Pi

Apply machine learning for environmental control

Visualize real-time data and automate decision-making

📈 Future Scope

Integration of AI for crop disease detection

Mobile app for complete control and monitoring

Solar-powered automation for energy efficiency

Expansion to large-scale commercial greenhouses

🧠 Keywords
Automated Polyhouse, Smart Greenhouse, IoT Project, Raspberry Pi, Machine Learning, Smart Farming, Agriculture Automation, IoT in Agriculture, AI in Farming, Environmental Monitoring, Precision Agriculture, Greenhouse Automation

#IoT #RaspberryPi #MachineLearning #SmartFarming #Automation #Greenhouse #Polyhouse #AI #IoTProjects #Agritech #RPi