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Crop yieldforecasting usingneural networkstrained on the basisof agrometeorologicaland agrochemical data Degtyareva KseniaTynchenko VadimStepanov Nikita2024 год

Crop yield forecasting using neural networks trained on the basis of agrometeorological and agrochemical data
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Crop yield forecasting using neural networks trained on the basis of agrometeorological and agrochemical data : доклад, тезисы доклада / K. K. Degtyareva [et al.]. - [S. l. : s. n.], 2024. - Текст : непосредственный // BIO WEB OF CONFERENCES : International Scientific Conference on Biotechnology and Food Technology (BFT-2024) / International Scientific Conference on Biotechnology and Food Technology (BFT-2024) (2024 ; 03.09 - 06.09 ; Saint Petersburg). - Les Ulis, 2024. - 130. - P. 01011. - DOI 10.1051/bioconf/202413001011.
Аннотация: <jats:p>In this study, a neural network model was developed and investigated for predicting crop yields based on data on weather conditions, the use of fertilizers and the content of basic nutrients in the soil (nitrogen, phosphorus and potassium). The research is based on the use of a multilayer perceptron architecture with Rely activation functions for hidden layers and linear activation for the output layer. The evaluation of the model quality was carried out using the mean square error (MSE), which was 0.5783 in the test sample, demonstrating high accuracy of predictions. Visualization of the results included analysis of scatter plots, residuals, histograms of residuals and comparison of distributions of actual and predicted values. The results obtained confirm the effectiveness of the proposed model for yield forecasting tasks, which makes it a valuable tool for optimizing agricultural production.</jats:p>
Год издания: 2024
Авторы: Degtyareva Ksenia, Tynchenko Vadim, Stepanov Nikita, Kalmykova Ekaterina, Makarevskaya Darya
Издательство: Les Ulis
Источник: BIO WEB OF CONFERENCES
Выпуск: 130
Мероприятие: International Scientific Conference on Biotechnology and Food Technology (BFT-2024) (Saint Petersburg, 2024 ; 03.09 - 06.09)
Номера страниц: 01011
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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