Issue |
E3S Web Conf.
Volume 210, 2020
Innovative Technologies in Science and Education (ITSE-2020)
|
|
---|---|---|
Article Number | 07012 | |
Number of page(s) | 9 | |
Section | Fish Farming | |
DOI | https://doi.org/10.1051/e3sconf/202021007012 | |
Published online | 04 December 2020 |
Identification of semiaquatic avifauna species in shallow waters of the Don River delta using an autonomous remote-controlled midget floating craft
1 Federal Research Centre The Southern Scientific Centre of the Russian Academy of Sciences (SSC RAS), 41 Chekhov Street, 344006, Rostov-on-Don, Russian Federation
2 Don State Technical University, 1 Gagarin square, 344003, Rostov-on-Don, Russian Federation
* Corresponding author: ourregion@mail.ru
A survey method for identifying avifauna in shallow areas of the Don River delta has been developed and tested using a prototype of an autonomous remote-controlled and self-propelled floating craft equipped with technical means for optical-visual observation and video filming (hereafter referred as the complex). The complex is remote-controlled by an operator. The methodology of the work included designing the complex and testing it in open water bodies, reconnaissance of the shallow water bodies in the Don River delta where the complex might navigate, the approbation of the panoramic video recording of birds, and processing of the recorded video for identification of the species. The complex is able to reliably collect visual information on the move as well as being stationed at points for bird observation. Thanks to the test missions of the complex, the selected shallow areas of the Don River delta were explored for the first time and reviewed by panoramic video recording. The 16 birds were captured in the footage, and 7 out of them were reliably identified. The panoramic video records can be also used for educational purposes. The developed complex has a relatively low manufacturing cost and can be assembled in a university lab too.
© The Authors, published by EDP Sciences, 2020
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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