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.
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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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Kovalchuk, V., Demchuk, O., Demchuk, D., Voitovich, O. (2019). Data Mining for a Model of Irrigation Control Using Weather Web-Services. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-91008-6_14
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