1. Introduction

The Weather Monitoring Station is designed to measure and monitor environmental conditions using different sensors. The system collects important weather data, such as temperature, humidity, atmospheric pressure, and rainfall, helping users understand changing weather conditions. It can be used for educational purposes, agricultural planning, and environmental monitoring.

2. Objectives

• Monitor real-time weather conditions.

• Measure temperature and humidity.

• Detect rainfall and atmospheric pressure.

• Display weather data for easy observation.

• Support agricultural and environmental monitoring.

• Improve understanding of local weather changes.

3. Methodology

• Install weather sensors in suitable outdoor positions.

• Collect environmental data through the sensors.

• Process sensor readings using a microcontroller.

• Display the measured parameters on an LCD.

• Transmit data to an IoT dashboard for remote monitoring.

• Record and analyze changes in weather conditions.

4. Instrument List

• NodeMCU

• Temperature and Humidity Sensor (DHT11/DHT22)

• Barometric Pressure Sensor (BMP180/BMP280)

• Rain Sensor

• Anemometer (Wind Speed Sensor)

• LCD Display

• Wi-Fi Connectivity

• Battery

• Weatherproof Enclosure

5. Working Principle

• The temperature and humidity sensor measures the surrounding air conditions.

• The pressure sensor records atmospheric pressure.

• The rain sensor detects the presence of rainfall.

• The anemometer measures wind speed.

• NodeMCU processes the sensor readings and displays the information on the LCD.

• Using Wi-Fi, the system can send weather data to an IoT dashboard for remote access.

6. Advantages

• Provides real-time weather information.

• Supports remote environmental monitoring.

• Helps with agricultural planning.

• Enables observation of local weather patterns.

• Offers a practical educational platform.

• Can be expanded with additional sensors.

7. Conclusion

The Weather Monitoring Station provides a practical way to collect and observe important weather parameters. By combining environmental sensors with a microcontroller and IoT connectivity, the system supports local weather analysis and remote monitoring. With improved sensor calibration and weatherproofing, it can be developed into a more reliable tool for agricultural and environmental applications.