Comparative analysis of statistical software usage in agricultural research: A review
Abstract
Statistical software plays a crucial role in analyzing data and drawing meaningful conclusions in agricultural research. This paper aims to provide a comprehensive review of the usage of different statistical software packages in agricultural studies. The review covers the advantages, limitations, and applications of popular statistical software such as R, SAS, SPSS, MATLAB, Python and STATA in agricultural research. Additionally, it discusses emerging trends and future prospects in statistical software usage within the agricultural domain.
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Libokazi Bunyula, Sithenkosi Lungisa, Qaqambile Mathentamo · South African Journal of Economic and Management Sciences · 2025
Background: Over the past 30 years of democracy, South Africa has undergone a significant technological transformation, with an increasing integration of artificial intelligence (AI) in government operations. Local governments remain reliant on manual systems, resulting in inadequate service delivery, community protests, and corruption. Aim: This study assessed municipal employees’ perceptions of using AI in their work, highlighting a research gap…
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