Determining the Optimum Cropping Pattern in Golestan Dam Irrigation and Drainage Network using Genetic Algorithm
The preparation, formulation and implementation of crop patterns are important activities in the agriculture and food production organizations. According to the significance role of cropping pattern in sustainable production of agricultural and horticultural crops, determining the optimum cropping p...
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| Format: | Article |
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Shahid Chamran University of Ahvaz
2017-11-01
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| Series: | علوم و مهندسی آبیاری |
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| Online Access: | http://jise.scu.ac.ir/article_13261_599b9fcb6f117e4fdb77b693bc13f427.pdf |
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| author | Shakiba Mirzaee مهدی ذاکری نیا Mehdi Shahabi Far Hosein Sharifan |
| author_facet | Shakiba Mirzaee مهدی ذاکری نیا Mehdi Shahabi Far Hosein Sharifan |
| author_sort | Shakiba Mirzaee |
| collection | DOAJ |
| description | The preparation, formulation and implementation of crop patterns are important activities in the agriculture and food production organizations. According to the significance role of cropping pattern in sustainable production of agricultural and horticultural crops, determining the optimum cropping pattern in irrigation network is necessary. This research objective is maximizing the net profit of farmers using genetic algorithms to determine optimal crop pattern in Golestan dam irrigation and drainage network. This irrigation network has been exploited separately by 4 rural production cooperatives company. For this reason the cropping pattern has been set for each cooperative separately in fall and summer cultures. In fall planting, because of good rainfall and sufficient water, all land area of each cooperative would be cultivated; in this case around 38% remaining excess water would be stored in dam reservoirs. But in the summer planting because of increasing evaporation and decreasing rainfall, irrigation water requirement would be increased, for this reason; the model is taken in an average 34% of the each cooperative area under crops. By using the surplus water of fall planting in summer planting, it can be another 1388 hectares (around 13 %) of land to be planted under irrigated crops and as a result the profit increased up to 37 percent. |
| first_indexed | 2024-12-19T02:59:58Z |
| format | Article |
| id | doaj.art-2de7903bf03a47008f6ffcad48a0897a |
| institution | Directory Open Access Journal |
| issn | 2588-5952 2588-5960 |
| language | fas |
| last_indexed | 2024-12-19T02:59:58Z |
| publishDate | 2017-11-01 |
| publisher | Shahid Chamran University of Ahvaz |
| record_format | Article |
| series | علوم و مهندسی آبیاری |
| spelling | doaj.art-2de7903bf03a47008f6ffcad48a0897a2022-12-21T20:38:13ZfasShahid Chamran University of Ahvazعلوم و مهندسی آبیاری2588-59522588-59602017-11-0140318119010.22055/jise.2017.1326113261Determining the Optimum Cropping Pattern in Golestan Dam Irrigation and Drainage Network using Genetic AlgorithmShakiba Mirzaee0مهدی ذاکری نیا1Mehdi Shahabi Far2Hosein Sharifan3M.Sc. Graduated Student of Water Engineering Department, Gorgan University of Agricultural Sciences and Natural Resourcesمدیرگروه مهندسی آب دانشگاه علوم کشاورزی و منابع طبیعی گرگانAssistant Professor of Soil and Water Research Institute, Karaj, Iran.Associate Professor of Water Engineering Department, Soil and Water Engineering college. Gorgan University of Agricultural Sciences and Natural ResourcesThe preparation, formulation and implementation of crop patterns are important activities in the agriculture and food production organizations. According to the significance role of cropping pattern in sustainable production of agricultural and horticultural crops, determining the optimum cropping pattern in irrigation network is necessary. This research objective is maximizing the net profit of farmers using genetic algorithms to determine optimal crop pattern in Golestan dam irrigation and drainage network. This irrigation network has been exploited separately by 4 rural production cooperatives company. For this reason the cropping pattern has been set for each cooperative separately in fall and summer cultures. In fall planting, because of good rainfall and sufficient water, all land area of each cooperative would be cultivated; in this case around 38% remaining excess water would be stored in dam reservoirs. But in the summer planting because of increasing evaporation and decreasing rainfall, irrigation water requirement would be increased, for this reason; the model is taken in an average 34% of the each cooperative area under crops. By using the surplus water of fall planting in summer planting, it can be another 1388 hectares (around 13 %) of land to be planted under irrigated crops and as a result the profit increased up to 37 percent.http://jise.scu.ac.ir/article_13261_599b9fcb6f117e4fdb77b693bc13f427.pdfoptimizationcropping patternsgolestan dam irrigation and drainage networkgenetic algorithm |
| spellingShingle | Shakiba Mirzaee مهدی ذاکری نیا Mehdi Shahabi Far Hosein Sharifan Determining the Optimum Cropping Pattern in Golestan Dam Irrigation and Drainage Network using Genetic Algorithm علوم و مهندسی آبیاری optimization cropping patterns golestan dam irrigation and drainage network genetic algorithm |
| title | Determining the Optimum Cropping Pattern in Golestan Dam Irrigation and Drainage Network using Genetic Algorithm |
| title_full | Determining the Optimum Cropping Pattern in Golestan Dam Irrigation and Drainage Network using Genetic Algorithm |
| title_fullStr | Determining the Optimum Cropping Pattern in Golestan Dam Irrigation and Drainage Network using Genetic Algorithm |
| title_full_unstemmed | Determining the Optimum Cropping Pattern in Golestan Dam Irrigation and Drainage Network using Genetic Algorithm |
| title_short | Determining the Optimum Cropping Pattern in Golestan Dam Irrigation and Drainage Network using Genetic Algorithm |
| title_sort | determining the optimum cropping pattern in golestan dam irrigation and drainage network using genetic algorithm |
| topic | optimization cropping patterns golestan dam irrigation and drainage network genetic algorithm |
| url | http://jise.scu.ac.ir/article_13261_599b9fcb6f117e4fdb77b693bc13f427.pdf |
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