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Full Length Article
Journal of Cognitive Human-Computer Interaction
Volume 5 , Issue 2, PP: 24-30 , 2023 | Cite this article as | XML | Html |PDF

Title

Online Weather Station

  Sanjay Rajan J. 1 * ,   Sanjay Kumar M. 2 ,   Madesh G. 3 ,   Sanjai S. 4 ,   C. Manikandan 5

1  Department of EEE,. Panimalar Engineering College Chennai, India
    (sanjaysujana@gmail.com)

2  Department of EEE,. Panimalar Engineering College Chennai, India
    (sanjaykumarsm66@gmail.com)

3  Department of EEE,. Panimalar Engineering College Chennai, India
    (madeshmadesh1204@gmail.com)

4  Department of EEE,. Panimalar Engineering College Chennai, India
    (sanjaiiisanjaiii17@gmail.com)

5  Panimalar Engineering College Chennai, India
    (manikandanct@yahoo.com)


Doi   :   https://doi.org/10.54216/JCHCI.050203

Received: December 19, 2022 Revised: March 12, 2023 Accepted: May 14, 2023

Abstract :

The creation of an online weather station utilising the ESP32 microcontroller and BME280 is described in this abstract. The project's goal is to give people access to current weather information and forecasts via a web interface. The system makes use of sensors to assess temperature, humidity, pressure, and other environmental factors. These measurements are then transferred through Wi-Fi to a cloud-based server. Weather forecasts are created using the analysed and processed data and then shown on an easy-to-use dashboard that can be accessed via a web browser. Users can also sign up to receive email or SMS alerts and notifications if the weather changes. The project provides a scalable and inexpensive method to detect and monitor weather conditions in numerous areas, making it appropriate for application in the aviation, agricultural, and other sectors.

Keywords :

Automation System; Weather station; Microcontroller.

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Cite this Article as :
Style #
MLA Sanjay Rajan J., Sanjay Kumar M., Madesh G., Sanjai S., C. Manikandan. "Online Weather Station." Journal of Cognitive Human-Computer Interaction, Vol. 5, No. 2, 2023 ,PP. 24-30 (Doi   :  https://doi.org/10.54216/JCHCI.050203)
APA Sanjay Rajan J., Sanjay Kumar M., Madesh G., Sanjai S., C. Manikandan. (2023). Online Weather Station. Journal of Journal of Cognitive Human-Computer Interaction, 5 ( 2 ), 24-30 (Doi   :  https://doi.org/10.54216/JCHCI.050203)
Chicago Sanjay Rajan J., Sanjay Kumar M., Madesh G., Sanjai S., C. Manikandan. "Online Weather Station." Journal of Journal of Cognitive Human-Computer Interaction, 5 no. 2 (2023): 24-30 (Doi   :  https://doi.org/10.54216/JCHCI.050203)
Harvard Sanjay Rajan J., Sanjay Kumar M., Madesh G., Sanjai S., C. Manikandan. (2023). Online Weather Station. Journal of Journal of Cognitive Human-Computer Interaction, 5 ( 2 ), 24-30 (Doi   :  https://doi.org/10.54216/JCHCI.050203)
Vancouver Sanjay Rajan J., Sanjay Kumar M., Madesh G., Sanjai S., C. Manikandan. Online Weather Station. Journal of Journal of Cognitive Human-Computer Interaction, (2023); 5 ( 2 ): 24-30 (Doi   :  https://doi.org/10.54216/JCHCI.050203)
IEEE Sanjay Rajan J., Sanjay Kumar M., Madesh G., Sanjai S., C. Manikandan, Online Weather Station, Journal of Journal of Cognitive Human-Computer Interaction, Vol. 5 , No. 2 , (2023) : 24-30 (Doi   :  https://doi.org/10.54216/JCHCI.050203)