Optimizing the cultivation pattern of important crops in Miandoab plain
Subject Areas : Crop Production ResearchMeraj Fallahi 1 , saeid Soofizade 2 , AliAkbar Baghestani 3
1 - M.Sc
2 - Associate prof
3 - Associate prof
Keywords: linear programming, Optimization, Cropping Pattern, Sustainable agriculture,
Abstract :
Choosing the optimal cultivation model that is both environmentally sustainable and suitable for specific climatic conditions in each geographical region can be considered as one of the efficient solutions to solve the challenges and increase the profitability of agricultural activities.For this purpose, in this study, an attempt has been made to design the optimal pattern of crop cultivation in Miandoab plain, which is the fourth most important plain of the country, located in West Azarbaijan province.Optimizing the cultivation pattern was done in the form of two separate goals of maximizing profit and minimizing water consumption.For this purpose, the required data for the three years 2016-2018 were collected from various provincial and national institutions, and the average data of the mentioned three years were used to propose the optimal pattern of crop cultivation in the form of each of the mentioned goals.In this research, 12 important crops cultivated in this plain have been used.The results showed that the two crops of rainfed chickpeas and nut sunflowers, with the cultivation of the entire agricultural lands of the plain with approximately 57 thousand hectares and 5500 hectares, respectively, and a gross profit of 1614 billion rials, were introduced as the optimal model proposed with the aim of maximizing the gross profit.became.In the proposed cultivation model with the aim of minimizing water consumption, the re-cultivation of rainfed chickpeas and nut sunflowers on an area equal to 57.600 hectares and 5300 hectares will result in the optimization of water consumption.In other words, two goals of profit maximization and water consumption minimization will be achieved by sub-cultivating dry peas and sunflower seeds.
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