| Issue |
BIO Web Conf.
Volume 71, 2023
II International Conference on Current Issues of Breeding, Technology and Processing of Agricultural Crops, and Environment (CIBTA-II-2023)
|
|
|---|---|---|
| Article Number | 01019 | |
| Number of page(s) | 6 | |
| Section | Issues of Sustainable Development of Agriculture | |
| DOI | https://doi.org/10.1051/bioconf/20237101019 | |
| Published online | 07 November 2023 | |
Application of neural network technologies for crop yield forecasting
Bashkir State Agrarian University, 34, 50-letiya Oktyabrya Str., Ufa, 450001, Russia
* Corresponding author: tsham@rambler.ru
The article discusses the problems of crop yield forecasting. A review of relevant bibliographic sources has been carried out. Crop yield factors are analyzed. Climatic and meteorological features, production and agrotechnical parameters, soil moisture and fertilizers are considered as the main factors. It is noted that a full-scale field experimental study of crop yields requires very large time and financial costs. A conclusion was made about the issues related to modeling of product forecasting. A neural network for predicting crop yields (in case of winter wheat) was built by using the Python PyTorch machine learning library.
© The Authors, published by EDP Sciences, 2023
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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