Proyecto Final Ambientes Inteligentes (ESPOL)

Overview

This project involves the development of an automated irrigation system that uses temperature and humidity sensors to monitor environmental conditions and determine the precise irrigation needs of a crop. The system integrates with Telegram to allow for remote and dynamic interaction, sending notifications about irrigation status and soil conditions while allowing for manual control if needed.

Features

• Sensor-Based Irrigation: Automatically adjusts irrigation levels based on real-time data from temperature and humidity sensors.
• Remote Monitoring and Control: Uses a Telegram bot for notifications and manual control.
• Simulation and Testing: Includes a Cisco Packet Tracer simulation to demonstrate the system's functionality with multiple sensors.
• Educational and Practical Application: Designed to provide agriculture students with hands-on experience in implementing automation technologies in a real-world context.

Repository Contents

• Arduino Code:
  • AgriBot.ino: Full programming for the automated irrigation system, including sensor data collection and irrigation control logic.
  • AgriBotVisual.ino: Code for creating a Telegram bot to send and receive commands for monitoring and controlling the irrigation system remotely.
• Cisco Packet Tracer Simulation:
  • ProyectoAmbientes.pkt: Simulation file demonstrating the system's functionality using multiple sensors.
• Final Project Report:
  • ReporteFinalAI.pdf: Comprehensive report detailing the project's design, implementation, testing, and results.

Getting Started

1. Clone the Repository:

   git clone https://github.com/davidromeroy/RiegoInteligente.git
   
   

2. Upload Arduino Code

• Open the AgriBot.ino file in the Arduino IDE and upload it to your microcontroller.
• Open the AgriBotVisual.ino file in the Arduino IDE, configure it with your Telegram bot token, and upload it to the microcontroller.

3. Set Up Telegram Bot

• Follow the instructions provided in AgriBot.ino to create a new bot on Telegram and get your bot token.
• Enter your bot token in the AgriBot.ino file and upload the code to the Arduino.

4. Run Simulation

• Open the ProyectoAmbientes.pkt file in Cisco Packet Tracer to explore the simulation environment and test the system's functionality.

How It Works

• The Arduino code collects data from temperature and humidity sensors and controls the irrigation valves based on predefined thresholds.
• The Telegram bot provides a user interface for monitoring the system's status and manually controlling the irrigation valves.
• The Packet Tracer simulation allows testing and visualization of the system in a simulated environment, ensuring all components work correctly before deployment.

Requirements

Hardware

• Esp32
• Temperature and humidity sensors
• Relay module for controlling irrigation valves
• Wi-Fi module for communication (included in esp32)

Software

• Arduino IDE
• Cisco Packet Tracer (for simulation)
• Telegram app (for bot interaction)

Future Improvements

• Integration of additional sensors for enhanced monitoring (e.g., soil pH, moisture depth).
• Implementation of machine learning algorithms for predictive irrigation.
• Development of a dedicated mobile app for better user experience.

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue for suggestions or improvements.

License

This project is licensed under the MIT License - see the LICENSE file for details.