Soil fertility evaluation based on the sugeno fuzzy logical model
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;variouscro...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2023/12/bioconf_vvrd2023_02010.pdf |
| _version_ | 1827806858596843520 |
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| author | Ziyadullaev Davron Mukhamedieva Dilnoz Xoliyorov Umirzoq Shanasirova Nodira Hudayberdiyev Ulmasjon Eshmuradov Dilshod Dzholdasbaeva Aksulu |
| author_facet | Ziyadullaev Davron Mukhamedieva Dilnoz Xoliyorov Umirzoq Shanasirova Nodira Hudayberdiyev Ulmasjon Eshmuradov Dilshod Dzholdasbaeva Aksulu |
| author_sort | Ziyadullaev Davron |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T21:48:31Z |
| format | Article |
| id | doaj.art-64aabe527d1b466aba930ad200529ca6 |
| institution | Directory Open Access Journal |
| issn | 2117-4458 |
| language | English |
| last_indexed | 2024-03-11T21:48:31Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj.art-64aabe527d1b466aba930ad200529ca62023-09-26T10:10:22ZengEDP SciencesBIO Web of Conferences2117-44582023-01-01670201010.1051/bioconf/20236702010bioconf_vvrd2023_02010Soil fertility evaluation based on the sugeno fuzzy logical modelZiyadullaev Davron0Mukhamedieva Dilnoz1Xoliyorov Umirzoq2Shanasirova Nodira3Hudayberdiyev Ulmasjon4Eshmuradov Dilshod5Dzholdasbaeva Aksulu6Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research UniversityTashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research UniversityTashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research UniversityTashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research UniversityTashkent State University of EconomicsTashkent University of Information Technologies named after Muhammad al-KhwarizmiTashkent University of Information Technologies named after Muhammad al-KhwarizmiWith 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.https://www.bio-conferences.org/articles/bioconf/pdf/2023/12/bioconf_vvrd2023_02010.pdf |
| spellingShingle | Ziyadullaev Davron Mukhamedieva Dilnoz Xoliyorov Umirzoq Shanasirova Nodira Hudayberdiyev Ulmasjon Eshmuradov Dilshod Dzholdasbaeva Aksulu Soil fertility evaluation based on the sugeno fuzzy logical model BIO Web of Conferences |
| title | Soil fertility evaluation based on the sugeno fuzzy logical model |
| title_full | Soil fertility evaluation based on the sugeno fuzzy logical model |
| title_fullStr | Soil fertility evaluation based on the sugeno fuzzy logical model |
| title_full_unstemmed | Soil fertility evaluation based on the sugeno fuzzy logical model |
| title_short | Soil fertility evaluation based on the sugeno fuzzy logical model |
| title_sort | soil fertility evaluation based on the sugeno fuzzy logical model |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2023/12/bioconf_vvrd2023_02010.pdf |
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