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SCIENTIFIC RESEARCH - 2026 SCIENTIFIC RESEARCH-2025
DOI: https://doi.org/10.36719/2789-6919/48/97-102
Samira Hasanova
Institute of Control Systems of Ministry of Science and
Education of the Republic of Azerbaijan
PhD student
https://orcid.org/0009-0003-5231-9603
samirahasanova75@gmail.com
Nubiyya Arifqızı
Institute of Control Systems of Ministry of Science and
Education of the Republic of Azerbaijan
https://orcid.org/0009-0009-5449-859X
a.nubiyya@gmail.com
Yegana Pashayeva
Institute of Control Systems of Ministry of Science and
Education of the Republic of Azerbaijan
https://orcid.org/0009-0003-8654-3224
yegane.pasha@gmail.com
Algorithm Development for the Identification of Multilayer Soils within the World Reference Base for Soil Resources
Abstract
The correct classification of soil types plays a significant role in the conservation of ecosystems, the efficient planning of agricultural activities and the effective organization of soil management. Therefore, solving the problem of soil diagnostics is essential for the cultivation of soils. Soil diagnostics refers to the study and evaluation of the physical, chemical, and biological properties of the soil. This process enables the identification of soil type, productivity potential, fertility, and ecological condition. For this purpose, the World Reference Base for Soil Resources (WRB) classification system is widely used in academic research, soil mapping, environmental assessment, agricultural planning, urbanization, and landscape management.
Hasanova was conducted an analysis for assigning soils to relevant Reference Soil Groups (RSGs) of the WRB as a basis for constructing a diagnostic algorithm. However, that study addressed soil identification only for a single horizon (horizontal layer) based on the WRB classification system. It is well known that the vertical profile of soil consists of multiple layers, and aligning this structure for the identification of multilayered soils is a current and relevant issue.
This article focuses on the development of an algorithm for conducting diagnostics based on multilayered soil profiles and on the improvement of the database structure to account for these profiles. Based on the developed database structure, a diagnostic algorithm and corresponding software system have been created for the recognition of soils using multilayered soil profiles.
Keywords: diagnostic algorithm, database structure, soil identification, soil group, diagnostic parameters
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