Estimation of electrical conductivity and pH in hydroponic nutrient mixing system using Linear Regression algorithm

The purpose of this study was to study a relation between the electrical conductivity (EC) and the pH of the hydroponic nutrient mixing system and to find out EC and pH adjusting equation by using linear regression analysis in order to generate the mathematical equation. In the experiment use Green oak information to set EC and pH target in equation for adjusting. From the experiment researcher found the nitric acids that using in pH adjusting process has effect to increasing number of EC value from this researcher will design to adjusting EC value before adjusting pH because EC is indicator of nutrient that plant needs. In mixing tank adjust nutrient solutions by calculate from EC and pH adjusting equation and fill by manual in unit milliliter. The results of study were EC and pH adjusting equation can estimate amount to fill A & B solution in EC adjusting process, and amount of nitric acid in pH adjusting process in range of Green oak needs.