Gatha Cognition®
Perception, Learning and Reasoning

Article Title :

Predicting the Amount of Fertilizers using Linear Programming for Agricultural Products from Optimum Cropping Pattern

Journal of Geographical Studies

2 (2018)

1

22-29

Linear Programming , Water restrictions , Economic optimization , phosphate fertilizer , Nitrogen fertilizer , potassium fertilizer

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The most crucial problem in resolving the challenges of water operations is usually maintaining the equilibrium between supply and demand for water especially in arid and semi-arid regions like most parts of Iran. In this research, to achieve the optimal cropping pattern, firstly, the study area was classified into six classes and just 2100 hectares of farming area in the top class that had the best agricultural conditions were analyzed. The water assigned to the described land was about 6 MCM [million cubic meters]. Seventeen essential farming product of the area were used for this modeling. In order to maximize the final worth of farming with regard to the quantity of acres of each crop, the optimization model has been applied. The explained model solved by linear programming and also evolutionary algorithms in MS Excel. The results demonstrated full conformity of these two techniques. Nitrogen, Phosphate and Potassium fertilizer have the most consumption for all the products. Also, due to high demand the maximum amount of fertilizer belongs to wheat, barley and rice and the lowest amount of required fertilizer belongs to cotton with the value of 3.8 tons.

Maintaining the equilibrium between supply and demand for water especially in arid and semi-arid regions is very challenging task.

The water assigned to the described land was about 6 MCM [million cubic meters] in the study area.

Seventeen essential farming product of the area were used for this modeling.

The optimization model is solved by linear programming and also evolutionary algorithms.

The results demonstrated full conformity of these two techniques.

Nitrogen, Phosphate and Potassium fertilizer have the most consumption for all the products.

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