Abstract: In view of the problems of difficult quantification, refinement and standardization of plant growth and low level of cultivation management of facility tomato, taking tomato growth data in Mi Town Smart Agriculture Industrial Park and Shandong Agricultural University Science and Technology Innovation Park in Lingcheng District, Dezhou City, Shandong Province as examples, the growth and development process of tomato plants was continuously observed.Logistic equation was used to fit the growth dynamic process of aboveground plant height, stem diameter, leaf length, leaf width and leaf area index, respectively, and the logistic growth model and growth characteristic parameters of facility tomato were obtained.The growth period of tomato plants was divided by analyzing the growth characteristic parameters of each trait, the results showed that the growth rulesof different growth indexes of tomato all conformed to the S-shaped growth curve. The coefficients of determination（R~2） of the fitting equations were all ≥0.853, and the correlation coefficients（R） between the days of planting and various tomato traits were all ≥0.923, reaching a very significant level（P＜0.01）. According to the S-shaped growth curve and the growth characteristics of tomato, the growth stages of tomato can be divided into early growth stage, fast growing stage and late growth stage. There are differences in the start and duration of fast growing stage for different characters. The use of Logistic model can accurately fit the dynamics of tomato growth process, which can provide a scientific basis for the digital management of tomato production and planting in the later stage.