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I am a aspiring IoT hardware engineer graduated recently in electronics and communication engineering with hobby for electronics
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LoRa weather monitoring station using LoRaWAN
Arduino UNO R4 WiFi

This project aims to develop a cost-effective and energy-efficient weather monitoring system that can collect and transmit data over a distance of 5km. The system will utilize Arduino UNO R4 WiFi for LoRaWAN communication, solar panels for power generation, and cloud platforms (ThingSpeak and Blynk) for data visualization and monitoring.
Key Components and Functions:

Arduino UNO R4 WiFi integrated with LoRa Module( 865MHZ)

LoRaWAN Communication: Handles the transmission and reception of weather data using the LoRaWAN protocol.
Cloud Connectivity: Connects to ThingSpeak and Blynk for data uploading and visualization.
Sensor Interface: Interacts with various sensors to collect weather parameters.
Data Reception: Receives LoRaWAN messages from the Arduino board.
Data Forwarding: Transmits received data to the cloud platforms.

Weather Sensors:

Pressure Sensor: Measures atmospheric pressure.
Temperature Sensor: Measures ambient temperature.
Humidity Sensor: Measures relative humidity.
Rainfall Sensor: Detects rainfall.
Light Intensity Sensor: Measures light intensity.
Data Storage: Store collected weather data.
Data Visualization: Present data in a user-friendly format.
Remote Monitoring: Allow users to access and monitor data from anywhere.

Reasons for Using Arduino UNO R4 WiFi:

LoRaWAN Integration: The R4 WiFi board has built-in LoRaWAN capabilities, making it ideal for long-range wireless communication.: it has integration with cloud platforms like ThingSpeak and Blynk for data management and visualization.
Sensor Data Collection: The Arduino UNO R4 WiFi reads data from the various weather sensors.
LoRaWAN Transmission: The collected data is transmitted over LoRaWAN to the gateway. using Arduino uno r4
Gateway Reception: The gateway receives the LoRaWAN message and forwards it to the cloud platforms.
Cloud Data Storage: The cloud platforms store the received data for analysis and visualization.
dataaVisualization: Users can access the stored data and visualize it through the cloud platforms' dashboards.
By combining the capabilities of the Arduino UNO R4 WiFi, LoRaWAN, and cloud platforms, this system provides a reliable and efficient solution for monitoring weather parameters over a distance of 5km.