Smart Irrigation System (esp32 & AI Integration) 🌿💧

This repository contains a comprehensive Smart Irrigation System designed to optimize water usage in agriculture. The system leverages the esp32 microcontroller for real-time monitoring and uses a Python-based AI model to make intelligent irrigation decisions.

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🛠 Features

• Automated Monitoring: Real-time data collection from soil moisture, temperature, and humidity sensors.
• AI Decision Making: A machine learning model (lap2.py) that analyzes environmental data to predict the precise amount of water needed.
• Embedded Control: Efficient C-based firmware for esp32 to manage hardware components (Relays, LCD, Sensors).
• Power Efficiency: Optimized for low power consumption, suitable for remote farming areas.

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📂 Project Structure

• Arduino Code/: Contains the source code for the esp32 microcontroller.
• lap2.py: The Python script responsible for the AI/Machine Learning logic and data processing.
• Images/: Hardware circuit diagrams and project snapshots.
• LICENSE: MIT License.

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🏗 Hardware Components

• Microcontroller: esp32
• Sensors: Soil Moisture Sensor, DHT11 (Temperature & Humidity)
• Actuators: DC Water Pump, 5V Relay Module
• Display: 16x2 LCD Display
• Power Supply: 12V Adapter or Battery pack

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🚀 Getting Started

1. Hardware Setup

Connect the sensors to the ATmega32 pins as specified in the circuit diagram located in the /Images folder.

2. Microcontroller Firmware

1. Open the code in Arduino Code/ using your preferred IDE (Microchip Studio or Arduino IDE with ATmega32 core).
2. Compile and burn the .hex file to the ATmega32.

3. AI Model Setup

Ensure you have Python installed, then install the necessary dependencies:

pip install numpy pandas scikit-learn