Мақола

Soil fertility evaluation based on the sugeno fuzzy logical model

Davron ZiyadullaevTashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University, 100000 Tashkent, UzbekistanDilnoz MuhamediyevaTashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University, 100000 Tashkent, UzbekistanUmirzoq XoliyorovTashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University, 100000 Tashkent, UzbekistanНодира ШанасироваTashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University, 100000 Tashkent, UzbekistanUlmasjon HudayberdiyevTashkent State University of Economics, 100066 Tashkent, UzbekistanD. E. EshmuradovTashkent University of Information Technologies named after Muhammad al-Khwarizmi, 100200 Tashkent, UzbekistanAksulu DzholdasbaevaTashkent University of Information Technologies named after Muhammad al-Khwarizmi, 100200 Tashkent, Uzbekistan

BIO Web of Conferencesjournal2023en

ABI

Аннотация

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.

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Мавзулар

Agriculture and Biological Studies Scientific Research Methodologies and Applications Cybersecurity and Information Systems

Идентификаторлар

DOI: 10.1051/bioconf/20236702010

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