Application of grey multiple regression model in optimizing the absorption performance of venturi fertilizer

doi:10.14088/j.cnki.issn0439-8114.2021.18.030

Abstract

Abstract: In order to effectively improve the working performance of the venturi fertilizer applicator, related experiments were carried out on the commonly used venturi fertilizer applicator, using the Bernoulli equation as the basic calculation equation, and the pressure difference, inlet flow ratio, fertilizer liquid concentration were analyzed by gray correlation theory. The effect of the mass fraction of fertilizer solution on the performance of venturi fertilizer absorption, and then multiple regression analysis of each influencing factor to establish an optimized prediction model for the amount of fertilizer absorbed by the venturi fertilizer. The test results showed that the pressure difference was between 0.02 and 0.12 MPa under the interval, the order of the influence of various factors on the amount of fertilizer absorption of the Venturi fertilizer applicator wereMass fraction of fertilizer liquid, pressure difference, inlet flow ratio, concentration of fertilizer solution, and the prediction equation of the amount of fertilizer absorption of the venturi fertilizer applicator was Y=-0.565 8-76.151 2X₁+1.254 3X₂+138.504 2X₃+1.992 5X₄.

Key words: gray theory, multiple regression, venturi fertilizer, optimization of fertilizer absorption performance

CLC Number:

S224.2

GUO Hong-jie, MA De-xin. Application of grey multiple regression model in optimizing the absorption performance of venturi fertilizer[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(18): 146-150.

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