Enhancing Weather Monitoring: A Comprehensive Study Utilizing IoT, ESP32, Sensor Integration, and Blynk Platform

Internet of Things (IoT) technology has facilitated the emergence of Internet-connected smart weather stations, causing a significant shift in weather observation practices. Agriculture, aviation, environmental research, and weather forecasting are just some of the industries that increasingly rely on meteorological data to inform their decision-making processes and achieve their objectives. Existing weather monitoring systems confront obstacles in obtaining and delivering meteorological data efficiently. This paper examines the integration of multiple weather sensors, the programming of ESP32 units for the collection and processing of aerial data, and the utilization of the Blynk platform as an interactive interface for users to remotely access and manipulate data. Multiple security measures have been implemented to safeguard sensitive information during its transmission over the internet. the presented functional model has demonstrated its viability in providing clients with timely, pertinent atmospheric data. Results show high accuracy in temperature measurements, a 2% deviation in daytime relative humidity, and efficient rainfall data recording achieved 95% accuracy using a rain sensor and the Blynk application. This allowing us to more accurately predict and resolve weather-related issues, thereby enhancing our capacity to mitigate risks and make informed decisions across numerous industries