ARIMA Model on a Self-adapting Character of Weak Signals of Plants

Taking electrical signals in Dendranthema morifolium as time series and using model analysis of the autoregressive integrated moving average (ARIMA), an intelligent forecasting system was constructed to forecast plant characters. It was less than 13% at relative errors between the real and forecast values at backward 10 points of signals, which shows it is feasible to forecast the plant signal for a short period. Forecast data can be used as the important preference for the intelligent automatic control system by adaptive characters of plant to achieve energy saving on agricultural production in the greenhouse and /or the plastic lookum.