| Issue |
E3S Web Conf.
Volume 363, 2022
XV International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2022”
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|---|---|---|
| Article Number | 02027 | |
| Number of page(s) | 8 | |
| Section | Precision Farming Software. Agroecology | |
| DOI | https://doi.org/10.1051/e3sconf/202236302027 | |
| Published online | 14 December 2022 | |
Algorithms and programs based on neural networks and local binary patterns approaches for monitoring plankton populations in sea systems
Don State Technical University, 1, Gagarin Sq., 344002 Rostov-on-Don, Russia
* Corresponding author: natalija93_93@mail.ru
The work is devoted to the method of multispectral space images analyzing of aquatic coastal systems for identifying phytoplankton populations of complicated structures: determining their boundaries, distributing color gradations and, based on this, determining the distribution of phytoplankton concentrations within patches and the location of the "mass" center. A combination of local binary patterns (LBP) and neuralnetworks methods is considered. Due to these characteristics it is possible, basing on a series of processed images of the same water area for different time points (dates), to determine the changing rate in the spots boundaries and their concentrations, the shift of the mass center which are influenced by the aquatic environment movement and the processes of phytoplankton growth and death. The results of the work allow us to determine the Azov Sea state. Experimental data of the program are given in confirmation part.
© The Authors, published by EDP Sciences, 2022
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