Construction of conductivity prediction model for mixed fertilizer solution
Six kinds of mixed fertilizer samples such as urea-potassium chloride,urea-potassium sulfate,urea-potassium dihydrogen phosphate,ammonium zinc-potassium chloride,ammonium polyphosphate-potassium chloride and monoammonium phosphate-potassium chloride are used as raw materials,the effects of the ratio value,total nutrient mass fraction and the coupling between the ratio value and total nutrient mass fraction on the conductivity of mixed fertilizer solutions are explored,and multiple regression fitting analysis is carried out through Origin 2022,the conductivity prediction model is established with the ratio value and total nutrient mass fraction of mixed fertilizer solutions as independent variables.The results show that the average relative errors of the conductivity prediction models are 2.68％,1.70％,2.49％,4.13％,2.33％and 3.58％,respectively,indicating that the models are highly reliable.
mixed fertilizer solutionconductivitytotal nutrient mass fractionratio valueprediction model
NETL
NSTL
万方数据
