Configuring Linux systems to support smart agriculture and agricultural IoT development

Configuring Linux systems to support the development of smart agriculture and agricultural IoT

The development of smart agriculture and agricultural IoT is promoting the innovation and optimization of agricultural production methods. As an open source operating system, Linux plays an important role in this field. This article will introduce how to configure it on a Linux system to support the development of smart agriculture and agricultural IoT, and provide some code examples.

1. Install the Linux system

First, we need to install the Linux operating system. There are many different Linux distributions to choose from, such as Ubuntu, CentOS, etc. Choose the distribution version that suits you and install it according to the official documentation.

2. Install the necessary development tools

1. Install GCC

GCC is one of the most commonly used compiler suites on Linux systems and can compile C and C programs. Enter the following command in the terminal to install GCC:

sudo apt-get install gcc

2. Install Python

Python is a commonly used programming language. It is also widely used in agricultural IoT development. Enter the following command in the terminal to install Python:

sudo apt-get install python

3. Install Arduino IDE

If you use Arduino to develop agricultural products Internet-connected device, then you need to install the Arduino IDE. Enter the following command in the terminal to install Arduino IDE:

sudo apt-get install arduino

3. Configure serial communication

Agricultural IoT devices usually use the serial port to communicate with the computer . On Linux systems, the path of the serial device is usually /dev/ttyUSB0. Enter the following command in the terminal to add the current user to the dialout group so that it has access rights to the serial device:

sudo usermod -a -G dialout $USER

After logging out and logging in again, You can communicate with agricultural IoT devices through the serial port.

4. Configure the development environment

1. Configure the Arduino development environment

Open the Arduino IDE, select "Board" in the "Tools" menu, and then select The type of Arduino board you are using. Next, select the serial port device path, select "Serial Port" in the "Tools" menu, and then select /dev/ttyUSB0 or ​​the serial port device path you are currently using.

2. Configuring the Python development environment

When using Python for agricultural Internet of Things development, commonly used libraries include paho-mqtt and requests. You can install these two libraries using the following command:

sudo pip install paho-mqtt requests

In your Python code, you can use the paho-mqtt library to implement communication with the MQTT server , use the requests library to make HTTP requests.

5. Code Example

The following is a code example that uses Python to communicate with an MQTT server:

import paho.mqtt.client as mqtt

def on_connect(client, userdata, flags, rc):

print("Connected with result code " + str(rc))
client.subscribe("test")

def on_message(client, userdata, msg):

print(msg.topic + " " + str(msg.payload))

client = mqtt.Client()
client.on_connect = on_connect
client.on_message = on_message

client.connect("mqtt.eclipse.org", 1883, 60)

client.loop_forever()

This code Use the paho-mqtt library to connect to an MQTT server and subscribe to messages with the topic "test". When a new message arrives, the subject and content of the message are printed.

Summary

Through the above steps, you have successfully configured the Linux system to support the development of smart agriculture and agricultural Internet of Things. Now you can start writing your own agricultural IoT applications and deploy them into real agricultural environments. I hope this article can be helpful to you, and I wish you success in the field of smart agriculture!

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