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README.MD
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README.MD
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Here’s a README documentation tailored to your GitLab project:
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---
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# IoT Smart Farming System
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This repository contains the code for an IoT-based smart farming system. The project uses sensors to monitor environmental conditions and communicates via MQTT for real-time data transmission and control.
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This repository contains the code for an IoT-based smart farming system. It integrates multiple sensors for environmental monitoring and uses MQTT for real-time communication, facilitated by the **CloudAMQ** provider.
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## Overview
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The system utilizes the ESP32 microcontroller to collect data from the following sensors:
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The system employs an **ESP32** microcontroller to gather data from the following sensors:
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- **BH1750**: Measures light intensity.
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- **DHT11**: Measures temperature and humidity.
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- **Two NPK sensors**: Measure soil nutrient levels (Nitrogen, Phosphorus, and Potassium).
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The system supports MQTT communication with three data publishing topics and six control subscribing topics.
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An **LCD display** is used to visualize data locally, where the right bottom corner shows the number of connected sensors.
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## Code Structure
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The project includes six files, with the final and most updated version being:
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- **Mfarming_read_rev8**: The final version of the code. Use this file for deployment to the ESP32.
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This project includes six files, with the final and most updated version being:
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- **Mfarming_read_rev8**: The final version of the code. This is the file to flash onto your ESP32 device for deployment.
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## Features
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- **Light Intensity Monitoring**: Publishes data from the BH1750 sensor.
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- **Temperature and Humidity Monitoring**: Publishes data from the DHT11 sensor.
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- **Soil Nutrient Monitoring**: Publishes data from two NPK sensors.
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- **Relay Control**: Supports controlling devices like irrigation systems and lights through MQTT topics.
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- **Light Intensity Monitoring**: Data from the BH1750 sensor is published via MQTT.
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- **Temperature and Humidity Monitoring**: Data from the DHT11 sensor is published via MQTT.
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- **Soil Nutrient Monitoring**: Data from the two NPK sensors is published via MQTT.
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- **Relay Control**: MQTT subscriptions enable controlling external devices like irrigation systems and lighting through defined topics.
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- **LCD Display**: The LCD shows sensor data, and the number of sensors is displayed in the right bottom corner.
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## MQTT Topics
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- **relay5**: Controls the second relay.
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- **relay6**: Controls the second relay.
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## Hardware Requirements
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- **Microcontroller**: ESP32
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- **Sensors**:
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- BH1750 for light
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- DHT11 for temperature and humidity
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- Two NPK sensors
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- **Relays**: For controlling external devices
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- **LCD**: For display the result
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## CloudAMQ Configuration
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## Getting Started
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1. **Clone the Repository**:
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```bash
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git clone <repository-url>
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```
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2. **Use the Final Code**:
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The `Mfarming_read_rev8` file is the final version of the code. Flash this file to your ESP32 device.
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3. **Set Up MQTT**:
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Configure your ESP32 to connect to your MQTT broker by entering the broker’s details (IP address, port, username, and password) in the code.
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4. **Run the System**:
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Once the ESP32 is running, sensor data will be automatically published to the corresponding MQTT topics, and you can control the relays via the subscribe topics.
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## Dependencies
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- **ESP32** board and development environment
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- Required Libraries:
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- **Adafruit_BH1750** for light sensor
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- **DHT sensor library** for temperature and humidity
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- **ModbusMaster** for NPK sensor communication
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- **PubSubClient** for MQTT communication
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## Future Enhancements
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- Additional MQTT topics for more device control (e.g., `relay3`, `relay4`).
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- Expansion to other sensors or automation systems.
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## License
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This project is licensed under the MIT License.
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---
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This documentation gives a clear structure and guides users through the setup and use of the project, with a focus on the final `Mfarming_read_rev8` file. You can adjust the repository URL and further customize the instructions as needed.Here’s a README documentation tailored to your GitLab project:
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---
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# IoT Smart Farming System
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This repository contains the code for an IoT-based smart farming system. The project uses sensors to monitor environmental conditions and communicates via MQTT for real-time data transmission and control.
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## Overview
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The system utilizes the ESP32 microcontroller to collect data from the following sensors:
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- **BH1750**: Measures light intensity.
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- **DHT11**: Measures temperature and humidity.
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- **Two NPK sensors**: Measure soil nutrient levels (Nitrogen, Phosphorus, and Potassium).
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The system supports MQTT communication with three data publishing topics and six control subscribing topics.
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## Code Structure
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The project includes six files, with the final and most updated version being:
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- **Mfarming_read_rev8**: The final version of the code. Use this file for deployment to the ESP32.
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## Features
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- **Light Intensity Monitoring**: Publishes data from the BH1750 sensor.
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- **Temperature and Humidity Monitoring**: Publishes data from the DHT11 sensor.
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- **Soil Nutrient Monitoring**: Publishes data from two NPK sensors.
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- **Relay Control**: Supports controlling devices like irrigation systems and lights through MQTT topics.
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## MQTT Topics
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### Publish Topics (Sensor Data)
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- **farm/bht**: Publishes light intensity data from the BH1750 sensor.
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- **farm/npk1**: Publishes soil nutrient data from NPK sensor 1.
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- **farm/npk2**: Publishes soil nutrient data from NPK sensor 2.
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### Subscribe Topics (Relay Control)
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- **relay1**: Controls the first relay.
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- **relay2**: Controls the second relay.
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- **Future Topics**: More control topics will be added to support additional devices.
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The system uses **CloudAMQ** as the MQTT broker provider. Ensure you configure your credentials (broker address, username, and password) in the code to enable MQTT communication.
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## Hardware Requirements
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- **Microcontroller**: ESP32
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- **Sensors**:
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- BH1750 for light
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- BH1750 for light intensity
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- DHT11 for temperature and humidity
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- Two NPK sensors
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- Two NPK sensors for soil nutrients
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- **LCD Display**: For visualizing sensor data and indicating the number of sensors
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- **Relays**: For controlling external devices
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## Getting Started
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@ -143,33 +59,37 @@ The project includes six files, with the final and most updated version being:
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git clone <repository-url>
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```
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2. **Use the Final Code**:
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The `Mfarming_read_rev8` file is the final version of the code. Flash this file to your ESP32 device.
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2. **Final Code**:
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The `Mfarming_read_rev8` file is the final version of the code. Use this file to flash onto your ESP32.
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3. **Set Up MQTT**:
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Configure your ESP32 to connect to your MQTT broker by entering the broker’s details (IP address, port, username, and password) in the code.
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3. **Configure CloudAMQ**:
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Update the code with your CloudAMQ broker details (address, username, and password).
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4. **Run the System**:
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Once the ESP32 is running, sensor data will be automatically published to the corresponding MQTT topics, and you can control the relays via the subscribe topics.
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4. **Use the LCD Display**:
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The LCD will display real-time sensor data, with the sensor count visible in the bottom-right corner.
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5. **Run the System**:
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Once deployed, the ESP32 will publish sensor data to the specified MQTT topics and receive commands from the subscribed relay topics.
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## Dependencies
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- **ESP32** board and development environment
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- Required Libraries:
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- **Adafruit_BH1750** for light sensor
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- **DHT sensor library** for temperature and humidity
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- **ESP32** board
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- Libraries:
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- **Adafruit_BH1750** for the BH1750 sensor
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- **DHT sensor library** for the DHT11 sensor
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- **ModbusMaster** for NPK sensor communication
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- **PubSubClient** for MQTT communication
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- **LiquidCrystal_I2C** for the LCD display
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## Future Enhancements
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- Additional MQTT topics for more device control (e.g., `relay3`, `relay4`).
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- Expansion to other sensors or automation systems.
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- Add additional MQTT topics for controlling more devices (e.g., `relay3`, `relay4`).
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- Expansion to more sensors or automated farming systems.
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## Contributing
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If you'd like to contribute to this project, feel free to open issues or submit pull requests.
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Contributions are welcome! Please submit any issues or pull requests to help improve the system.
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## License
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This project is licensed under the MIT License.
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This project is licensed under the MIT License.
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