Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 2nd International conference on Agricultural Engineering and Green Infrastructure Solutions, AEGIS 2022

Год издания: 2022

Идентификатор DOI: 10.1088/1755-1315/1076/1/012055

Аннотация: The article discusses a new stage in the development of the agricultural sphere, associated with the use of precision farming technologies. It is shown that the development of precision farming technology requires a higher level of technical support based on the use of unmanned aerial systems that perform differentiated applicationПоказать полностьюof pesticides and fertilizers according to a given field treatment program. A stochastic GERT-model of the UAV transport technological cycle is proposed. The loss of UAV performance over time serves as a criterion in the risk analysis of UAV transport technological cycles. This paper proposes a method for determining the quantitative characteristics of the risks of UAV transport units as a local criterion for the predicted amount of downtime and losses. A new method for calculating the quantitative values of the risk of UAV downtime, as the main link in the precision farming system in one transport technological cycle, is proposed based on the procedures of stochastic graphs. © Published under licence by IOP Publishing Ltd.

Журнал: IOP Conference Series: Earth and Environmental Science

Выпуск журнала: Vol. 1076, Is. 1

Номера страниц: 12055

ISSN журнала: 17551307

Издатель: Institute of Physics

• Kovalev I.V. (Siberian Federal University, Krasnoyarsk, Russian Federation, Krasnoyarsk State Agrarian University, Krasnoyarsk, Russian Federation, China Aviation Industry General Aircraft Zhejiang Institute Co., Ltd, China, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation)
• Kovalev D.I. (Krasnoyarsk State Agrarian University, Krasnoyarsk, Russian Federation, Krasnoyarsk Sci. and Technol. City Hall of the Russ. Union of Sci. and Engineering Associations, Krasnoyarsk, Russian Federation)
• Voroshilova A.A. (Siberian Federal University, Krasnoyarsk, Russian Federation, Krasnoyarsk Sci. and Technol. City Hall of the Russ. Union of Sci. and Engineering Associations, Krasnoyarsk, Russian Federation)
• Podoplelova V.A. (Krasnoyarsk State Agrarian University, Krasnoyarsk, Russian Federation, Sochi State University, Sochi, Russian Federation)
• Borovinsky D.A. (FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia, Krasnoyarsk region, Zheleznogorsk, Russian Federation)

• Scopus
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