Comparison of Different Weather Data Acquisition Methods

The Internet of Things is widely used in various aspects of our lives, including weather data collection which is usually performed using commercially available sensors such as DHT11 and microcontrollers such as Arduino. This data, however, is also available through various websites. In this study, we have developed a system using an ESP32 microcontroller to locally obtain temperature and humidity data using a DHT11 sensor and compared it with data retrieved from two different weather websites. We have compared the values downloaded with each other, as well as the sensor data obtained locally. Our results show that the temperature data obtained from the two websites are in 92^% agreement with each other and the sensor data is, on average, in 87% agreement with the data from the websites. These figures are 72% and 75% respectively for humidity measurements.