Introduction:

Data and numerical information play a vital role in advancing agriculture. Statistical principles and methods are often used for solving various problems that come up in different types of farming practices. Because biological and agricultural data are always diverse, one need to use statistics to draw valid conclusion. For collecting, analyzing and interpreting results of various agricultural experiments, statistics becomes obvious.

Further, the research work of doctoral and master's programme in agricultural sciences largely reliant on the statistical analysis and presentation of results. In order to facilitate the faculty and students in this regard, Computation Center has been established in the department of Statistics, Mathematics & Computer Science. The center will provide scientists and research scholars with the necessary resources and guidance to conduct advanced research in the field of agriculture and making it possible for them to perform cutting-edge research.

Objectives:

The primary objective of establishing the Computational Centre is to provide comprehensive computational resources and statistical support for research in agriculture. The Centre aims to create a facility through e-resources and various statistical tools where faculty and students can perform the analysis of their experiment with the end goal of enhancing their analytical abilities and optimum decision making. It seeks to:

• Facilitate the application of statistical principles and methods to solve problems in diverse agricultural practices.

• Support the research work of doctoral and master's degree students by providing access to advanced statistical software and computational facilities.

• Encourage and guide cutting-edge research by offering resources that enable the analysis of biological and agricultural data.

• Ensure accurate and efficient interpretation of experimental results, thereby contributing to the growth and development of the agricultural sector.

Open Access Tools to be Used:

Data Files: