| Issue |
BIO Web Conf.
Volume 130, 2024
International Scientific Conference on Biotechnology and Food Technology (BFT-2024)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 8 | |
| Section | Soil Biotechnology | |
| DOI | https://doi.org/10.1051/bioconf/202413002009 | |
| Published online | 09 October 2024 | |
Development of a model for predicting soil moisture dynamics
1 Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
2 Bauman Moscow State Technical University, 105005 Moscow, Russia
3 Russian Presidential Academy of National Economy and Public Administration, 119571 Moscow, Russia
* Corresponding author: sofaglu2000@mail.ru
This paper discusses the development of a model for predicting soil moisture dynamics based on remote sensing data and soil characteristics using neural networks. In the course of the study, preliminary data processing was carried out, including scaling of features and analysis of correlations between them. The constructed model showed high accuracy of predictions, which is confirmed by the values of the standard error (0.00849) and the coefficient of determination (0.854). The test results demonstrated the ability of the model to effectively reproduce the actual values of soil moisture, which makes it a useful tool for water management and planning of agrotechnical measures. In conclusion, possible ways to further improve the model and expand its application are discussed.
© 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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