Statistical relationship between geographical factors and agricultural production in desert areas and its development implications (Karbala governorate as a model)

Abstract

The study of the most important factors affecting the amount of agricultural production is very important and takes two groups of variables. The first group includes natural variables, solar brightness, rain, evaporation, humidity, wind speed, temperature, evaporation, storms. While the second group includes labor, loans, agricultural areas distributed by the state, costs, agricultural contracts. There is a strong statistical force between natural factors and agricultural production of (0.723), it is for the variable, solar brightness, and it is the highest correlation level, while the value of Pearson correlation (0.677) for the variable, labor, and the highest in the second group. While the coefficient of variance for the regression model with an amount of (0.975) evaporation is significantly related to the amount of production in the first group, and (0.0552) the cultivated area distributed by the state for the second group.