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2023 | OriginalPaper | Chapter

IoT Weather Forecasting Using Ridge Regression Model

Authors : Karthik G. Dath, K. E. Krishnaprasad, T. S. Pushpa, K. P. Shailaja

Published in: Intelligent Cyber Physical Systems and Internet of Things

Publisher: Springer International Publishing

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Abstract

Weather Forecasting is an Internet of Things (IoT) based initiative that attempts to provide weather forecasting via the internet via a website. Using several sensors, our project Weather Forecasting collects data such as temperature, humidity, rain, and pressure. Our project also includes a facility for measuring atmospheric conditions to give information for weather forecasts and to study weather and climate. As a result, Weather Forecasting using the Internet of Things is proposed to assist consumers in accessing weather data anywhere in real-time. For the data storage, a real-time database has been used using Firebase and will be displayed in the dashboard which was designed using React JS.

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Literature
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go back to reference Anand JV (2020) A methodology of atmospheric deterioration forecasting and evaluation through data mining and business intelligence. J Ubiquit Comput Commun Technol (UCCT) 2(02):79–87 Anand JV (2020) A methodology of atmospheric deterioration forecasting and evaluation through data mining and business intelligence. J Ubiquit Comput Commun Technol (UCCT) 2(02):79–87
Metadata
Title
IoT Weather Forecasting Using Ridge Regression Model
Authors
Karthik G. Dath
K. E. Krishnaprasad
T. S. Pushpa
K. P. Shailaja
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-18497-0_53

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