Determining aligned optimal pattern with sustainable production of rice cultivars in Gaharbaran region of Sari: Application of Genetic Algorithm Model

Document Type : Research Paper

Authors

1 Asistant Prof, Faculty of Agricultural Engineering, Agricultural Sciences and Natural Resources University Sari. Iran

2 PhD Student of Agricultural Economics, Agricultural Sciences and Natural Resources University Sari

Abstract

The aim of the present study is the application of the genetic algorithm model for optimizing the cropping pattern in form of a multi-objective model in the normal and dry climates of Goharbaran area in Sari. In this regard, at first, the optimal products composition, maximum economic water productivity, minimum water consumption, minimum consumption of chemical fertilizers from different rice cultivars have been determined. At second, results were compared with the current conditions in the region.
In this study, the method of genetic algorithm with respect to the conditions of different aquatic years has been used to achieve this goal. A multi-objective planning model has been used to achieve integrated economic and environmental management. The data of the present study were collected through the Jihad Agricultural Organization and Mazandaran Regional Water Company in the 2019-2020 crop year. Matlab software has also been used to estimate the results
The results show that the suggested pattern of the genetic algorithm in these climate conditions superior to the current model of the region and shows more appropriate achievement of study objectives. The optimal pattern in normal climate conditions will be improved in economic goal, ecological goal, and environmental goal by 16%, 3.5%, and17.5%, respectively. Also, in dry climate, the economic goal increases by 17%, the ecological goal decreases by 22% and the environmental goal decreases by 20% compared with the current cultivation pattern of the region.

Keywords

References

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JOURNAL OF AGRICULTURAL SCIENCE AND SUSTAINABLE PRODUCTION
Volume 32, Issue 3
June 2022
Pages 235-250

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