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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...
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