Determining of Optimal Cropping Pattern in Sari Goharbaran (Comparing the Ordinary Non-Linear Mathematical Programming and Genetic Algorithm)

Document Type : Research Paper

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Abstract

In today's world, one of the basic human problems is securance of food need due to inputs limitation. Accordingly, cropping pattern optimization is a suitable strategy for agricultural development and human food securement. In this study, optimal cropping pattern has been determined and compared by using of ordinary non-linear programming and genetic algorithm in Goharbaran region of Sari County. Required data for this study has been collected with interview of 250 farmers during the 2014-2015 crop year. The results of this study showed that the optimal cropping pattern of non-linear genetic algorithm is superior compared to ordinary non-linear programming model because of more variety and increasing profit by 2 percent and reducing risk by about 22 percent. Since the proposed cropping pattern of genetic algorithm causes to increase farmers' gross margin compared to the ordinary nonlinear programming, so the government should encourage and support farmers on the application of the results of such models.
 

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References

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JOURNAL OF AGRICULTURAL SCIENCE AND SUSTAINABLE PRODUCTION
Volume 28, Issue 4
December 2018
Pages 207-216

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