A Study on AI-Enabled IoT-Based Smart Wireless Weather Monitoring Systems  with Predictive Weather Analytics and Cloud Integration

Gaurang Rajeshkumar Gajjar

A Study on AI-Enabled IoT-Based Smart Wireless Weather Monitoring Systems with Predictive Weather Analytics and Cloud Integration

Authors

Gaurang Rajeshkumar Gajjar

Keywords:

Artificial Intelligence (AI), Internet of Things (IoT), Wireless Sensor Networks (WSNs), Predictive Weather Analytics, Cloud Computing

Abstract

The increasing frequency of climate variability and extreme weather events has highlighted the need forintelligent weather monitoring systems capable of providing accurate, real-time, and predictiveenvironmental information. Conventional weather monitoring approaches often suffer from limited spatial coverage, delayed data processing

References

1. Abbass, K., Qasim, M. Z., Song, H., Murshed, M., Mahmood, H., & Younis, I. (2022). A review of the global climate change impacts, adaptation, and sustainable mitigation measures. Environmental Science and Pollution Research, 29(29), 42539–42559. https://doi.org/10.1007/s11356-022-19718-6

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Published

2024-03-20

How to Cite

Gaurang Rajeshkumar Gajjar. (2024). A Study on AI-Enabled IoT-Based Smart Wireless Weather Monitoring Systems with Predictive Weather Analytics and Cloud Integration. Journal of Computational Analysis and Applications (JoCAAA), 32(1), 1456–1467. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5730