| Issue |
BIO Web Conf.
Volume 67, 2023
International Scientific and Practical Conference “VAVILOV READINGS-2023” (VVRD 2023)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 7 | |
| Section | Modern Agrobiotechnologies for Ensuring Sustainable Development of Agriculture | |
| DOI | https://doi.org/10.1051/bioconf/20236702009 | |
| Published online | 18 September 2023 | |
Application of the neuro-fuzzy approach to solving problems of soil phases evaluation
1 Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University, 100000 Tashkent, Uzbekistan
2 Andijan State Medical Institute, 170100 Andijan, Uzbekistan
3 Gulistan State University, Department of "Applied Mathematics and Information Technologies", 120100 Gulistan, Uzbekistan
4 Tashkent University of Information Technologies named after Mukhammad al-Khwarizmi, 100200 Tashkent, Uzbekistan
* Corresponding author: dziyadullaev@inbox.ru
The role of variety in the efficient use of fertilizers is enormous. However, most researchers limited their studies to stating the facts about the different productivity of varieties under certain conditions of mineral nutrition. Varieties bear the "imprint" of the conditions in which they are bred. Hence, it is necessary to studythe features of their nutrition, the crop formation, and the quality of products at different forms, doses, ratios, terms and methods of applying mineral fertilizers on various soils of thecultivation zone of a given crop. The main aim of the article is to evaluate soil phases based on the use of a neuro-fuzzy approach. Three soil types were considered: irrigated typical serozem, serozem-meadow soil, and newly irrigated light serozem. A computational experiment was conducted to assess the type of soil, taking into account characteristics such as soil density and humus in percentage terms.
© 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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