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Theoretical Framework to Weather Data Analysis of Coastal Udupi using Machine Learning and Integrating Multiple Scientific Domains

SUSHMA A. SHETTY A. SHETTY

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Abstract

This article proposes a theoretical framework for the comprehensive analysis of weather data from the coastal region of Udupi, India. The framework integrates multiple scientific domains, including climatology, meteorology, environmental science, data science, geospatial analysis, disaster management, and agricultural science. The study aims to develop an accurate and reliable rainfall prediction model by integrating various meteorological parameters, such as rainfall, temperature, relative humidity, wind speed, and wind direction. The objective is to establish a structured approach for identifying significant weather patterns, trends, and anomalies over a ten-year period . This framework aims to guide researchers in conducting robust analyses that contribute to climate change adaptation, agricultural optimization, and disaster preparedness.

Copyright

Copyright © 2024 SUSHMA A. SHETTY. This is an open access article distributed under the Creative Commons Attribution License.

Paper Details
Paper ID: IJPREMS40800004397
ISSN: 2321-9653
Publisher: ijprems
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