| Issue |
BIO Web Conf.
Volume 67, 2023
International Scientific and Practical Conference “VAVILOV READINGS-2023” (VVRD 2023)
|
|
|---|---|---|
| Article Number | 01001 | |
| Number of page(s) | 5 | |
| Section | Basic Research in the Field of Plant and Microbial Studies | |
| DOI | https://doi.org/10.1051/bioconf/20236701001 | |
| Published online | 18 September 2023 | |
Soil fertility evaluation based on the sugeno fuzzy logical model
1 Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University, 100000 Tashkent, Uzbekistan
2 Tashkent State University of Economics, 100066 Tashkent, Uzbekistan
3 Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, 100200 Tashkent, Uzbekistan
* Corresponding author: dziyadullaev@inbox.ru
With the improvement of soils, the productivity of agricultural crops and the efficiency of mineral fertilizers increase;though for individual types of fertilizers the changes take different ways. In different types of soil, different interactions between soil and fertilizersare observed;variouscrop varieties react differently to them, because each variety was bred under one of these interaction conditions, and its influence is phenotypically fixed in it. It was established that the fertility of different types of soils is quantitatively best characterized bystored soil moisture, bulk density, and it is closely related to such generally recognized fertility components as the amount of humus, nitrogen, phosphorus, etc. The main aim of the article is to build a Sugeno fuzzy logical model for assessing soil fertility.
© The Authors, published by EDP Sciences, 2023
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