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Data Mining for a Model of Irrigation Control Using Weather Web-Services

  • Volodymyr Kovalchuk
  • Olena Demchuk
  • Dmytro Demchuk
  • Oleksandr Voitovich
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 754)

Abstract

The article deals with obtaining forecast weather data, its processing and use in mathematical models for irrigation management in the application of Decision Support System. The data obtained from the weather service databases on temperature and humidity are summarized on the basis of potential evapotranspiration calculations. Forecast data on precipitation is handled under uncertainty. On the basis of the weather forecast data, moisture transfer is modeled, soil moisture is predicted, that is, new knowledge is obtained about the state of soil moisture, on the basis of which Decision Support System generates a certain management solution. Due to the Internet and the use of the online regime, the decision maker does not directly process large arrays of weather information, but receives Decision Support System solutions as quickly and easily as possible.

Keywords

Data mining Weather web-services Model of irrigation control Weather data processing under uncertainty Calculation of evapotranspiration DSS 

Notes

Acknowledgment

Publications are based on the research provided by the grant support of the State Fund for Fundamental Research (project F76/95-2017).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Volodymyr Kovalchuk
    • 1
  • Olena Demchuk
    • 2
  • Dmytro Demchuk
    • 3
  • Oleksandr Voitovich
    • 1
  1. 1.Institute of Water Problems and Land ReclamationKyivUkraine
  2. 2.National University of Water and Environmental EngineeringRivneUkraine
  3. 3.National Technical University of Ukraine “Ihor Sikorsky Kyiv Polytechnic Institute”KievUkraine

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