Computational Centre
Department of Statistics, Mathematics and Computer Science
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
Open Access Database Sources
| S.No | Name | Complete Description | Link |
|---|---|---|---|
| 1 | Unified Portal for Agricultural Statistics (UPAg) | An advanced agricultural data management platform for crop estimates and integrated agricultural statistics across India. It provides a unified source for accurate, timely, and standardized agricultural data to aid policymakers, researchers, and planners. | Visit |
| 2 | Agricultural Marketing Information Network (Agmarknet) | A project of the Directorate of Marketing and Inspection (DMI), India. It provides near real-time agricultural market information including arrivals and prices of commodities across major markets in India, facilitating transparency in trade. | Visit |
| 3 | Directorate of Economics and Statistics (DES) — APY Report | Offers area, production, and yield data for different crops at the state and district levels in India. The portal supports evidence-based agricultural planning and policymaking through accurate crop statistics. | Visit |
| 4 | Agricultural Statistics at a Glance | The flagship publication of the Directorate of Economics and Statistics, providing comprehensive statistical data on Indian agriculture including land use, production, inputs, and prices in an accessible format. | Visit |
| 5 | National Horticulture Board (NHB) | Provides extensive statistics and market information on horticultural crops. It includes area and production data, crop-wise distribution, and pricing information to support growers and traders in the horticulture sector. | Visit |
| 6 | Census of India | The official demographic and socio-economic data portal of the Government of India, providing comprehensive census data on population, housing, agriculture, literacy, and employment across the nation. | Visit |
| 7 | National Horticultural Research & Development Foundation (NHRDF) | Hosts reports on market arrivals and prices of key horticultural crops such as onions, garlic, and potatoes. The data aids in market forecasting and price trend analysis for producers and traders. | Visit |
| 8 | FAOSTAT (FAO Statistics Division) | A global database maintained by the Food and Agriculture Organization of the United Nations. It provides free access to food, agriculture, forestry, and land-use statistics for over 245 countries and territories. | Visit |
| 9 | World Bank — Agriculture and Rural Development Data | Contains global development data and indicators related to agriculture, rural development, productivity, and sustainability. Useful for cross-country comparisons and policy research. | Visit |
| 10 | Kaggle — Agriculture Datasets for India | A repository of user-uploaded datasets on Indian agriculture, including data on crops, rainfall, production, and soil quality. Ideal for data scientists and researchers for analysis and machine learning applications. | Visit |
| 11 | UNCTAD Statistics and Data Portal | Provides international trade, investment, and development indicators, including agricultural exports, imports, and related economic data at a global scale. | Visit |
| 12 | District-Level Database for Indian Agriculture (ICRISAT & TCI) | Developed by ICRISAT and Cornell’s Tata-Cornell Institute, this open-access database includes district-level data for Indian agriculture and allied sectors (1966–2020), covering crop area, production, yield, and socio-economic parameters. | Visit |
Last updated 1 Nov 2026