Issue |
BIO Web Conf.
Volume 105, 2024
IV International Conference on Agricultural Engineering and Green Infrastructure for Sustainable Development (AEGISD-IV 2024)
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Article Number | 03010 | |
Number of page(s) | 5 | |
Section | Digital Technologies and Automation in Agriculture | |
DOI | https://doi.org/10.1051/bioconf/202410503010 | |
Published online | 26 April 2024 |
Unmanned aerial systems for biological plant protection based on UAV type CE-20
1 Siberian Federal University, Krasnoyarsk, Russia
2 Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia
3 Navoi State University of Mining and Technology, Navoi, Uzbekistan
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 article presents an analysis of the use of UAVs of the CE-20 type as part of unmanned aerial systems for biological plant protection. The relevance of the study is determined by the intensive development of modern unmanned technologies used to combat insect pests and plant diseases. The proposed analysis of modern practice of using UAVs of the CE-20 type for biological plant protection will reveal the relationship of technical characteristics with agrotechnological methods. This will provide effective technical support for unmanned aerial systems applications in precision agriculture. It is important to consider that the characteristics of the UAVs used significantly influence the process of spraying fertilizers and pesticides. The article analyzes the previously obtained results of test flights of the CE- 20 of the Chinese company Wuxi Hanhe Aviation Technology. Testing was carried out taking into account a given field cultivation strip, on which the effective spray width of fertilizers and pesticides was determined and studied. The obtained droplet deposition coefficients of variation showed good deposition uniformity and penetration rate. It is shown that optimization of UAV parameters must be combined with agronomic requirements based on the choice of crop types, growth period, pest and disease characteristics, and environmental conditions.
© The Authors, published by EDP Sciences, 2024
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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