This paper is published in Volume-7, Issue-5, 2021
Area
Operations Research
Author
Anya Agarwal, Archit Dubey, Shubh Agrawal, Vedant Sanyal, Vidhi Verma
Org/Univ
SVKM's Narsee Monjee Institute of Management Studies, Bangalore, Karnataka, India
Pub. Date
22 September, 2021
Paper ID
V7I5-1252
Publisher
Keywords
Operations Research, Agriculture, Linear Programming, Queuing Theory, Game Theory, Inefficiency

Citationsacebook

IEEE
Anya Agarwal, Archit Dubey, Shubh Agrawal, Vedant Sanyal, Vidhi Verma. Application of Operational Research in Optimization of Agricultural Sector, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Anya Agarwal, Archit Dubey, Shubh Agrawal, Vedant Sanyal, Vidhi Verma (2021). Application of Operational Research in Optimization of Agricultural Sector. International Journal of Advance Research, Ideas and Innovations in Technology, 7(5) www.IJARIIT.com.

MLA
Anya Agarwal, Archit Dubey, Shubh Agrawal, Vedant Sanyal, Vidhi Verma. "Application of Operational Research in Optimization of Agricultural Sector." International Journal of Advance Research, Ideas and Innovations in Technology 7.5 (2021). www.IJARIIT.com.

Abstract

The goal of this study is to see if operation research approaches are suitable and applicable to decision-making in farming. The methods and principles of operational research can be applied to agriculture and development in a variety of ways. The process and problems are investigated as to how operational research can be put into use in the manner to optimize value. The technique of integrating advanced logical theories and models to aid in better decision making and resource utilisation is termed as operations research. This research is focused on the use of operations research methodologies in the realm of agriculture. They are used in a variety of elements of agriculture, including day-to-day decisions made by farmers such as selecting the best grain, farm planning, cost reduction and profit maximisation on a single farm, and crop production and transportation. This research study uses scenarios and issues to demonstrate several Operations Research theories and models applied to agriculture.