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https://elar.usfeu.ru/handle/123456789/14526| Title: | Analysis of directions for application of artificial intelligence systems in analysis of the state of water resources |
| Authors: | Semin, A. N. Skvortsov, E. Pryadilina, N. K. |
| Editors: | Riccardo, V. Petaja, T. Kukhar, V. S. |
| Issue Date: | 2024 |
| Publisher: | EDP Sciences |
| Citation: | 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 |
| Abstract: | 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 |
| Appears in Collections: | Научные публикации, проиндексированные в SCOPUS и WoS CC |
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