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Название: Analysis of directions for application of artificial intelligence systems in analysis of the state of water resources
Авторы: Semin, A. N.
Skvortsov, E.
Pryadilina, N. K.
Редакторы: Riccardo, V.
Petaja, T.
Kukhar, V. S.
Дата публикации: 2024
Издатель: EDP Sciences
Библиографическое описание: Semin, A. N. Analysis of directions for application of artificial intelligence systems in analysis of the state of water resources / A. N. Semin, E. Skvortsov, N. K. Pryadilina // E3S Web of Conferences. – 2024. – Vol. 537. – № 08010. DOI: 10.1051/e3sconf/202453708010.
Semin, A. N., Skvortsov, E. A., & Pryadilina, N. K. (2024). Analysis of directions for application of artificial intelligence systems in analysis of the state of water resources. E3S Web of Conferences, 537, 08010. doi:10.1051/e3sconf/202453708010
Аннотация: Optimizing the use of water resources in conditions of increasing intensity of agricultural production is an important scientific and national economic problem. The complexity and uncertainty of forecasting agricultural demand for water resources necessitates the use of artificial intelligence systems. The authors reviewed research on the use of artificial intelligence systems in the field of analyzing the state of water resources in agricultural production. The purpose of the study is to analyze research on the use of artificial intelligence systems in the field of analyzing the state of water resources for agricultural needs. The scope of application of artificial intelligence systems is to increase the awareness of managers and specialists of agricultural organizations and industry management bodies about the state of water resources. This, in turn, allows you to make optimal decisions on various agricultural activities. The use of artificial intelligence models for water resource management in agriculture will provide significant economic benefits. The areas of application of these models are related to optimizing the use of water resources, saving water, increasing crop yields, saving money on water quality analysis. © The Authors, published by EDP Sciences, 2024.
URI: https://elar.usfeu.ru/handle/123456789/14526
ISBN: 9782759890163
782759890552
782759890644
DOI: 10.1051/e3sconf/202453708010
SCOPUS: 2-s2.0-85196915775
Располагается в коллекциях:Научные публикации, проиндексированные в SCOPUS и WoS CC

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