Optimization of Cost for Farmers of Cotton Based Farming System by Linear Programming Model

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ISSN: 2278-0149 (Online)
Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
DOI: 10.18178/ijmerr
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Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.

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Home > Articles > All Issues > 2014 > Volume 3, No. 2, April 2014 >

A V Gadge, A P Kedar, and K R Aglawe

Mechanical Engineering Department, R.T.M. Nagpur University, Near CRPF Campus, Hingana road Nagpur-19, India.

Abstract— This paper illustrate the use of minimum cost linear programming technique for optimizing resources for the Vidarbha farmers. It compares the optimum farm planning developed by minimum cost strategies of management on small medium and large categories of farms and discusses the interrelationship between crop allocations made by the LP model and the existing farmer’s practice.

Index Terms— Linear programming, Profit maximization, Cost minimization, Agricultural crops

Cite: A V Gadge, A P Kedar, and K R Aglawe, " Optimization of Cost for Farmers of Cotton Based Farming System by Linear Programming Model," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 2, pp. 505-509, April 2014.