Abstract: Taking lettuce as the test material, using three algorithms, Logistic regression, ridge regression and support vector regression, the fitting effect and prediction ability of different algorithms on the lettuce growth model were studied, in order to provide reference for effective planning, growth prediction and yield-increasing measures for subsequent lettuce production.The results showed that the average R~2 of the measured values and predicted values of the lettuce growth model of Logistic regression, ridge regression and support vector regression based on the 1∶1 straight line were 0.818,0.897 and 0.957 respectively, and the average RMSE were 27.631,19.505 and 6.901,respectively.Therefore support vector regression performed the best in simulating lettuce growth, followed by ridge regression, and Logistic regression was the worst.