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Please use this identifier to cite or link to this item: http://dspace.bsuedu.ru/handle/123456789/66435
Title: Comprehensive assessment method of agricultural territories based on artificial intelligence technology in terms of greenhouse effect dynamics
Authors: Goncharov, D. V.
Ivashchuk, O. A.
Ivashchuk, O. O.
Keywords: computer science
artificial intelligence
artificial intelligence technology
agricultural territories
greenhouse effect
assessment algorithm
Issue Date: 2024
Citation: Goncharov, D.V. Comprehensive assessment method of agricultural territories based on artificial intelligence technology in terms of greenhouse effect dynamics / D.V. Goncharov, O.A. Ivashchuk, O.O. Ivashchuk // Advances in Automation: Proceedings of the International Russian Automation Conference, RusAutoCon 2023, Sochi, Russia, 10-16 September 2023 / eds.: A.A. Radionov, V.R. Gasiyarov. - Cham, 2024. - P. 278-290. - (Lecture Notes in Electrical Engineering ; vol. 1130). - Doi: 10.1007/978-3-031-51127-1_27. - Refer.: p. 289-290.
Abstract: In this article the results of the development of integrated assessment modelling and forecasting of the agricultural areas productivity are presented depending on the technogenic and natural impacts, which include the dispersion and accumulation of greenhouse gases based on neuro-fuzzy data analysis
URI: http://dspace.bsuedu.ru/handle/123456789/66435
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

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