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.