International Journal of Scientific & Technology Research

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IJSTR >> Volume 11 - Issue 01, January 2022 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Linear Programming In Agriculture Using The Solver Tool Of Excel.

[Full Text]



Fytilis S. Konstantinos



Linear Programming, Crop management, Agriculture, Constraints, Function, Solver, Excel .



Business research consists of a set of important quantitative techniques based on mathematical programming, which have been used effectively in various management processes. Linear programming is one of the most widely used techniques in this group. For a long time, linear programming was used for programming in agriculture and crop management. The present study uses linear programming for crop management in an afro area in central Greece. The current situation is compared with the best solution proposed by the methodology. The solver tool of excel is used. Constraints taken into account are fertilization, irrigation, working hours and land uses. As a result, there are savings of restrictions and a significant increase in yields of the proposed crops.



[1] Martika-Vakirtzi, M. (2008). Management in agriculture.
[2] Jensen, M. C. (1983). Organization theory and methodology. Accounting review, 319-339.
[3] Gass, S. I. (2003). Linear programming: methods and applications. Courier Corporation.
[4] Cococcioni, M., Pappalardo, M., & Sergeyev, Y. D. (2018). Lexicographic multi-objective linear programming using grossone methodology: Theory and algorithm. Applied Mathematics and Computation, 318, 298-311.
[5] Dantzig, G. B., & Glynn, P. W. (1990). Parallel processors for planning under uncertainty. Annals of Operations Research, 22(1), 1-21
[6] Andreea, I. R., & Adrian, T. R. (2012). Linear programming in agriculture: case study in region of development South-Mountenia. International Journal of Sustainable Economies Management (IJSEM), 1(1), 51-60.
[7] Ward, J. D., Ward, P. J., Mantzioris, E., & Saint, C. (2014). Optimising diet decisions and urban agriculture using linear programming. Food security, 6(5), 701-718.
[8] Otoo, J., Ofori, J. K., & Amoah, F. (2015). Optimal selection of crops: A casestudy of small scale farms in Fanteakwa district, Ghana. Int J Sci Technol Res, 4, 142-146.
[9] Karloff, H. (2008). Linear programming. Springer Science & Business Media.
[10] Dantzig, G. (2016). Linear programming and extensions. Princeton university pressunder uncertainty. Annals of Operations Research, 22(1), 1-21.