Evaluation of different cotton types with analytical hierarchy process
Researchers used a decision-making method to find the best type of cotton for both high yield and quality yarn production.
The study used the Analytic Hierarchy Process to evaluate 13 types of cotton based on factors like fiber quality and yield. The goal was to find the most suitable cotton type for both cotton growers and yarn producers. The researchers determined the best cotton type based on criteria such as fiber fineness, length, tensile strength, average yield per hectare, and ginning yield.
Abstract
There are significant differences in terms of price formation between cotton growers and yarn producers. While cotton growers prioritize the average yield per hectare and ginning yield in price formation, yarn producers pay attention to properties such as fiber fineness, fiber length, tensile strength, etc. Therefore, even if a cotton grower produces a large amount of cotton per hectare, the monetary value may be lower. This study aimed to determine the most suitable type of cotton for optimal profitability and quality yarn production for both producers, using the Analytic Hierarchy Process (AHP) for decision-making. AHP is a method that analyzes decision-making processes in an analytical and hierarchical structure. AHP helps to determine the best selection by evaluating the factors of a decision, assessing their relationships and priorities. In this study, among the 13 cotton types registered by the Eastern Mediterranean Agricultural Research Institute, the most suitable cotton selection based on criteria such as fiber fineness, fiber length, tensile strength, average yield per hectare, and ginning yield was determined using AHP.
References
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Dağkurs, L. (2023). Evaluation of different cotton types with analytical hierarchy process. *The European Journal of Research and Development*, 3(1), 108-114. https://doi.org/10.56038/ejrnd.v3i1.238
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