IoT-Enabled Weather Analysis and Monitoring System with Intelligent Climate Sense System

Authors

  • Vibhor Harit, Gaurav Gulati, Raj Sinha, Ashok Kumar, Penubaka Balaji, Rahul Kumar Author

DOI:

https://doi.org/10.48047/38y50006

Keywords:

Climate, Temperature, Humidity, UV Radiation, Rain Sensor.

Abstract

The "Climate Sense: IoT Enabled Weather Monitoring and Analysis System" is advanced research integrating IoT 
technology to monitor weather conditions in real-time. Utilizing sensors such as DHT11 for humidity and temperature, rain sensors for precipitation, UV sensors for ultraviolet radiation, and LDR sensors for light intensity, the system collects comprehensive environmental data. These sensors, connected to a NodeMCU ESP32 microcontroller and custom PCB board, facilitate data collection and internet connectivity. The system leverages the Blynk platform for data visualization, allowing users to remotely access and analyzes weather information. This paper details the system's design, implementation, and performance, highlighting its potential applications in precision agriculture, transportation safety, urban planning, and climate research. The current research addresses the need for real-time weather data to enhance resilience against climate change impacts and supports informed decision
making through accessible and accurate environmental insights

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References

J. P. Mondol, K. R. Mahmud, M. G. Kibria, and A. K. Al Azad, “IoT based Smart Weather Monitoring System for Poultry Farm,” 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT). IEEE, pp. 229–234, Nov. 28, 2020. doi:

1109/icaict51780.2020.9333535.

Shivanshu, P. Nagwanshi, and A. Chauhan, “Smart Real Time Weather Forecasting System,” 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). IEEE, pp. 558–562, Dec. 17, 2021. doi: 10.1109/icac3n53548.2021.9725697.

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Published

2025-01-10

How to Cite

IoT-Enabled Weather Analysis and Monitoring System with Intelligent Climate Sense System (Vibhor Harit, Gaurav Gulati, Raj Sinha, Ashok Kumar, Penubaka Balaji, Rahul Kumar , Trans.). (2025). Cuestiones De Fisioterapia, 54(2), 1492-1500. https://doi.org/10.48047/38y50006