Soil quality analysis using statistical methods

Abstract

This 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.