Journal of Cognitive Computing and Extended Realities

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ISSN: 3069-5821

Agrometeorological Data and Correlations Between Data in the Sodasense Digital Platform

Giwrgos Kollintzogiannakis

Volume 1, Issue 1

Published: October 27, 2025

Abstract

The collection of various agro-meteorological data is useful for a variety of studies. The purpose of this work is to find correlations between large data sets recorded by meteorological stations. These stations record various measurements (temperature, humidity, etc.) and are installed at various points across the wider plateau of Tripoli and the Peloponnese via the Sodasense digital platform. Our goal is to find correlations in order to draw useful conclusions.

Keywords

Sodasense, Agrometeorological Data, Data Analysis, Correlations

Corresponding Author

Giwrgos Kollintzogiannakis, Department of Informatics and Telecommunications University of Peloponnese Tripoli, Greece.

Citation

Kollintzogiannakis, G. (2025). Agrometeorological Data and Correlations Between Data in the Sodasense Digital Platform.Cognitive Computing & Extended Realities, 1(1), 01-07.

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