Objective: To establish a prediction model of Angelicae sinensis yield per unit in Min County, and the forecasting information can be provided to correlated department and organization.
Methods: With the basis of the Angelicae sinensis yield statistics in Min County from 1995 to 2009 and weather data of development phase of each ten days, polynomial forecasting modeling was used and the stimulation forecasting of Angelicae sinensis yield in Min County was carried out.
Results: The results showed that the average accuracy of prediction model was reached to 97.2%, which basically met the demand for yield prediction.
Conclusion: The prediction model of Angelicae sinensis yield per unit in Min County has good accuracy and relatively correct forecasting information about Angelicae sinensis yield, which provides methodology and important references for dynamic forecasting in the progress of Chinese medicinal materials production.