| Issue |
E3S Web of Conf.
Volume 390, 2023
VIII International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development (AGRITECH-VIII 2023)
|
|
|---|---|---|
| Article Number | 03014 | |
| Number of page(s) | 5 | |
| Section | Information Technologies, Automation Engineering and Digitization of Agriculture | |
| DOI | https://doi.org/10.1051/e3sconf/202339003014 | |
| Published online | 01 June 2023 | |
Digitalization of UAV transport and technological cycles in smart agriculture
1 Siberian Federal University, Krasnoyarsk, Russia
2 Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia
3 China Aviation Industry General Aircraft Zhejiang Institute Co., Ltd, China
4 Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
5 National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers", Tashkent, Uzbekistan
6 Sochi State University, Sochi, Russia
7 FSBEE HE Siberian Fire and Rescue Academy EMERCOM of Russia, Zheleznogorsk, Russia
* Corresponding author: kovalev.fsu@mail.ru
The transport and technological cycles of unmanned aerial vehicles used in various options for the implementation of agricultural technologies in smart farming are discussed. The analysis of UAV function was carried out, starting with regular and detailed aerial photography and ending with the spraying of chemicals and spraying fields. It is shown that the digitalization of UAV transport and technological cycles based on GERT-network models makes it possible to provide effective information and analytical support for decision-making processes in logistics monitoring and flow control systems in agricultural production. An analysis of the fundamental principles of GERT-network modeling led to the conclusion that this method is applicable for solving a number of systemic problems in optimizing UAV transport and technological cycles in precision farming, including their planning, modeling and development, as well as quality control of their implementation.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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