| Issue |
E3S Web of Conf.
Volume 463, 2023
III International Conference on Improving Energy Efficiency, Environmental Safety and Sustainable Development in Agriculture (EESTE2023)
|
|
|---|---|---|
| Article Number | 01034 | |
| Number of page(s) | 7 | |
| Section | Sustainable Development in Agriculture | |
| DOI | https://doi.org/10.1051/e3sconf/202346301034 | |
| Published online | 13 December 2023 | |
Multispectral drone imaging technology in agriculture
1 Moscow Polytechnic University, 38, st. Bolshaya Semyonovskaya, Moscow, 107023, Russia
2 Lomonosov Moscow State University, 1, Leninskie Gory, Moscow, 119991, Russia
3 Russian State Academy of Intellectual Property, 55a, st. Miklouho Maclay, 117279, Moscow, Russia
4 MIREA - Russian Technological University, Vernadsky Avenue, 78. Moscow. 119454. Russia
* Corresponding author: saaturn2015@mail.ru
Unmanned aerial vehicles (UAVs) are used in various agricultural sectors to conduct important analyses and scans. They help identify bacteria, fungi, areas that require irrigation, and more. The agricultural industry in developed countries like Russia, the United States, and the European Union is widely considered to be the leading user of UAV technologies. Products with UAV engines are extensively integrated into these agricultural systems, essentially revolutionizing the agrarian sector. Drones play a crucial role in modern agricultural production through their three-dimensional and high-precision real-time analysis, measuring overall soil conditions, planting patterns, and ultimately providing vital data for optimal irrigation and nitrogen requirements.
© 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.