Сибирский федеральный университет

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: 10.1088/1755-1315/1076/1/012051

Аннотация: The relevance of the study is due to the fact that there is a rapid development of artificial intelligence technologies, due to breakthroughs in the digital environment and the uncertainty of their application in the agricultural sector. It should be noted that Russia plays an important role in the world history for the development of these technologies, but the Soviet management model limits the rapid development of digital technologies in modern Russia. Artificial intelligence technologies are of particular importance, as they are used for big data analysis, robotics and as the basis for various forecasting algorithms. The article reveals the role of artificial intelligence in solving complex tasks in agriculture, identifies the main barriers to the introduction of digital technologies and identifies perspective direction of application for artificial intelligence technologies. Due to the lack of scientific developments on this issue, the lack of research on the feasibility and effectiveness of the using artificial intelligence, the lack of methodological recommendations for the introduction of these technologies and systematic training of artificial intelligence, it is difficult to use artificial intelligence in agricultural organizations. For Russia, the issue of agricultural automation is particularly important: over the past 10 years, the number of workers in the industry has more than halved. In the future, automated systems can improve rural areas and keep production there, since most of the rural population is no longer engaged in agriculture. Agriculture remains one of the most important and largest industries, and even a small increase in efficiency will lead to a significant increase due to its scale. © Published under licence by IOP Publishing Ltd.

Журнал: IOP Conference Series: Earth and Environmental Science

Выпуск журнала: Vol. 1076, Is. 1

Номера страниц: 12051

ISSN журнала: 17551307

Издатель: Institute of Physics

• Rozhkova A.V. (Krasnoyarsk State Agrarian University, pr. Mira 90, Krasnoyarsk, 660049, Russian Federation)
• Stupina A.A. (Siberian Federal University, Krasnoyarsk, Russian Federation, Siberian Fire and Rescue Academy, Ministry of Emergency Situations of Russia, Krasnoyarsk, Russian Federation)
• Korpacheva L.N. (Siberian Federal University, Krasnoyarsk, Russian Federation)
• Rozhkov S.E. (Siberian Federal University, Krasnoyarsk, Russian Federation)
• Dzhioeva N.N. (Siberian Federal University, Krasnoyarsk, Russian Federation)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)