Work

Soil quality analysis using statistical methods

Year: 2024

Type: article

Abstract: \nThis paper presents an analysis of soil quality using statistical methods. The study includes correlation analysis to identify key relationships between various soil and environmental parameters, and regression analysis to quantify the influence of these factors. The findings demonstrate how various factors such as geographical and climatic conditions affect soil quality parameters. The findings of the study highlight the effectiveness of integrating statistical methods for more accurate and reliable analysis of soil quality related data. These results can be useful for developing land management strategies and improving agricultural practices.\n

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/bioconf/202413002010/pdf

Authors: Anna Glinscaya, Vladislav Kukartsev, Marina Stepantsevich, Svetlana Pchelintseva, Mikhail Nikanorov

Institutions: Bauman Moscow State Technical University, Siberian State Aerospace University, Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow State Agroengineering University named after V.P. Goryachkin, Krasnoyarsk State Agrarian University

Language: English

Topic: Soil Science and Environmental Management

Subfield: Soil Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6884537754

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