This paper is published in Volume-7, Issue-2, 2021
Area
Operations Research
Author
Abasilim Chinwe Frances
Org/Univ
Yaba College of Technology Lagos, Nigeria, Nigeria
Pub. Date
26 March, 2021
Paper ID
V7I2-1219
Publisher
Keywords
Operations Research, Agricultural Research, Decision-Making

Citationsacebook

IEEE
Abasilim Chinwe Frances. Analysis of operations research applications in agricultural research: A literature review, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Abasilim Chinwe Frances (2021). Analysis of operations research applications in agricultural research: A literature review. International Journal of Advance Research, Ideas and Innovations in Technology, 7(2) www.IJARIIT.com.

MLA
Abasilim Chinwe Frances. "Analysis of operations research applications in agricultural research: A literature review." International Journal of Advance Research, Ideas and Innovations in Technology 7.2 (2021). www.IJARIIT.com.

Abstract

Agriculture is a productive process requiring the transformation of a set of productive inputs into output with the aim of satisfying wants. These inputs are limited and as such place a constraint in the transformational process. It, therefore, implies that decision-making on the allocation of these limited agricultural resources is a major area of concern in attaining the objectives of agricultural production. Operations research, an analytical method used in problem-solving and decision-making in organizations, have been applied for over 70 decades in decision-making in agriculture. A review of applications of Operations research by some researchers in agriculture problems at farm level, regional sector level, environment protection, risks, and uncertainty analysis, formulating livestock rations and feedstuffs, forestry management, etc., shows that its application in agriculture is extensive and its potential for development is limitless. The application is constrained by complex interacting drivers existing in productivity, markets, the environment, and the people. These drivers include accuracy of data, quantifiability of data. natural disasters, instability of prices, demand for products, changes in government subsidies and policies, and dependence on an electronic computer. In conclusion, the decision to implement the results from Operations research lies with human beings and so this human element is still the most significant part of the decision-making process. The changes and adjustments in the natural and economic environment, and new improved information in the subject area, must be incorporated in the mathematical models and their parameters to account for the change.
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