Abstract: In order to achieve accurate identification of rice varieties, a rice variety identification method based on terahertz time-domain spectroscopy (THz-TDS) technology was proposed. To select the terahertz band by Interval partial least square (iPLS) and standard deviation (SD), which determined the absorption spectrum data of the 0.53~1.21 THz band as the input data of the classification model. Then to use the decision tree (DT) identified absorption spectra of four kinds of rice and the model parameters was obtained by combining with the grid search algorithm. In order to increase the experimental contrast, logistic regression models and support vector machine models were used separately for comparative experiments, and the model classification accuracy was 80.75% and 88.75%, respectively. Experimental results showed that the terahertz time-domain spectroscopy technology combined with SD, iPLS and DT methods can realize the accurate identification of rice varieties with an accuracy rate of up to 95%, providing a new identification method for the identification of agricultural varieties.