Mathematical models of agricultural production management in high risk environments

The paper presents an algorithm for modeling the production of agricultural products in the formation of agrometeorological events. Stochastic models of variability of downpours, early snow-fall and crop yields are constructed to assess the likelihood of extreme events. Based on a probabilistic asse...

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Main Authors:	Ivanyo Yaroslav, Fedurina Nina, Varanitsa-Gorodovskaya Zhanna
Format:	Article
Language:	English
Published:	EDP Sciences 2020-01-01
Series:	E3S Web of Conferences
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/82/e3sconf_daic2020_01018.pdf

id	doaj-b34ea8b64d644fe6876bee938f9c4298
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spelling	doaj-b34ea8b64d644fe6876bee938f9c42982021-04-02T18:46:40ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012220101810.1051/e3sconf/202022201018e3sconf_daic2020_01018Mathematical models of agricultural production management in high risk environmentsIvanyo YaroslavFedurina NinaVaranitsa-Gorodovskaya ZhannaThe paper presents an algorithm for modeling the production of agricultural products in the formation of agrometeorological events. Stochastic models of variability of downpours, early snow-fall and crop yields are constructed to assess the likelihood of extreme events. Based on a probabilistic assessment of crop bio-productivity by a normative method, economic losses from agrometeorological events are determined. A model for optimizing crop production taking into account natural risks was built and implemented for an agricultural organization. The results were obtained according to data of the Irkutsk district.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/82/e3sconf_daic2020_01018.pdf
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Ivanyo Yaroslav Fedurina Nina Varanitsa-Gorodovskaya Zhanna
spellingShingle	Ivanyo Yaroslav Fedurina Nina Varanitsa-Gorodovskaya Zhanna Mathematical models of agricultural production management in high risk environments E3S Web of Conferences
author_facet	Ivanyo Yaroslav Fedurina Nina Varanitsa-Gorodovskaya Zhanna
author_sort	Ivanyo Yaroslav
title	Mathematical models of agricultural production management in high risk environments
title_short	Mathematical models of agricultural production management in high risk environments
title_full	Mathematical models of agricultural production management in high risk environments
title_fullStr	Mathematical models of agricultural production management in high risk environments
title_full_unstemmed	Mathematical models of agricultural production management in high risk environments
title_sort	mathematical models of agricultural production management in high risk environments
publisher	EDP Sciences
series	E3S Web of Conferences
issn	2267-1242
publishDate	2020-01-01
description	The paper presents an algorithm for modeling the production of agricultural products in the formation of agrometeorological events. Stochastic models of variability of downpours, early snow-fall and crop yields are constructed to assess the likelihood of extreme events. Based on a probabilistic assessment of crop bio-productivity by a normative method, economic losses from agrometeorological events are determined. A model for optimizing crop production taking into account natural risks was built and implemented for an agricultural organization. The results were obtained according to data of the Irkutsk district.
url	https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/82/e3sconf_daic2020_01018.pdf
work_keys_str_mv	AT ivanyoyaroslav mathematicalmodelsofagriculturalproductionmanagementinhighriskenvironments AT fedurinanina mathematicalmodelsofagriculturalproductionmanagementinhighriskenvironments AT varanitsagorodovskayazhanna mathematicalmodelsofagriculturalproductionmanagementinhighriskenvironments
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Mathematical models of agricultural production management in high risk environments

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