Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Scientific Conference on Biotechnology and Food Technology (BFT-2024); Saint Petersburg; Saint Petersburg
Год издания: 2024
Идентификатор DOI: 10.1051/bioconf/202413002009
Аннотация: <jats:p>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 Показать полностьюmodel 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.</jats:p>
Журнал: BIO WEB OF CONFERENCES
Выпуск журнала: 130
Номера страниц: 02009
Место издания: Les Ulis