In this study， the color of fifty Dianhong Gongou tea infusions was detected by using electronic eye technology， and the color quality of tea infusions was evaluated by combining with multivariate statistical analysis. The results showed that quality classification of high-quality (≥90 score) and non-high-quality(＜90 score) could be accurately judged based on partial least squares discriminant analysis (PLS-DA)， which had excellently interpretative and predictive ability (R2Y=0.988， Q2=0.981). The validation of the prediction set showed the reliability of the model， with an accuracy of 100%. Furthermore， the accurate prediction of quality scores of tea infusions' color was achieved based on the partial least square regression (PLSR) (calibration set: Rc=0.97， RMSEC=0.79， RPDc=4.15； prediction set: Rp=0.90， RMSEP=1.36， RPDp=2.15). The absolute error between the predicted value and the true value is within 2.3， and the relative error was within 2.7%. In summary， the Electronic eye technology can replace traditional sensory evaluation to achieve the speedy and accurate evaluation of color quality for Dianhong black tea.