Assessment of soil quality in arid zones using principal component analysis and GIS-based modeling.

ABSTRACT:

Background

Assessing the quality of the soil is a crucial first step in agricultural management. A major obstacle to raising agricultural output, economic growth, and environmental health has been the decline in soil quality. One of the most often used metrics for evaluating soil quality is the soil quality index (SQI), which is frequently calculated using principal component analysis (PCA).

Methodology

In this study, a soil quality index in the southwest of the Ismailia Governorate, Egypt, was evaluated and mapped using a geographical information system (GIS) and multivariate analysis. (PCA). Fifty- one soil samples were gathered for this purpose, and they were examined using established procedures. The dataset was broken down into new variables using principal component an

SUBMITTER: Shokr MS 

PROVIDER: S-EPMC12671789 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature