Abstract: Taking Oumeijia tomato （Solanum lycopersicum Solyc） as the test material, adopting greenhouse matrix cultivation, using the internal and external environment data of tomato growth and development for 3 consecutive months, improved heat transfer theory and mass energy balance equation, the dynamic prediction model of temperature and humidity in the greenhouse was established and verified.Taking the glass greenhouse of Engineering College of Shanxi Agricultural University as an example, the dynamic model was established taking into account the indoor and outdoor solar radiation amount, indoor and outdoor temperature, wind speed, ventilation rate, envelope structure and other factors, and the model was used to analyze the temperature and humidity of tomato at each growth stage. The results showed that outdoor temperature and solar radiation were the main factors affecting indoor temperature （especially in winter, heating facilities should be considered）, and indoor humidity was mainly affected by transpiration rate, indoor temperature and ventilation. The relative errors of temperature in each growth stage （seedling stage, flowering stage and fruiting stage） were 7.70%, 7.90% and 6.80%, absolute error were 1.42 ℃, 1.26 ℃, 1.05 ℃, and RMS standard error were 1.32 ℃, 1.39 ℃, 1.25 ℃, respectively; Relative error of humidity were 6.10%, 3.20%, 1.41%, absolute error were 4.08, 2.11, 1.35 percentage point, and the root-mean-square standard error were 3.73%, 2.16% and 1.11%, respectively. Which verifies that the model is reliable and effective and can provide model support for subsequent environmental control and decision management.

Key words: greenhouse, tomato（Solanum lycopersicum Solyc）, microclimate system, temperature model, humidity model