Information fusion inspected technology on the processing of electrical signals by ARIMA model in Bellis perennis
Li Qiao · 2010
An information fusion technology was successfully coupled to the analysis of original weak electrical signals in Bellis perennis,which consisted of a touching testing using platinum sensors in a system of self-made double shields,the signals denoised by the wavelet soft threshold and a forecast system of time series by the autoregressive integrated moving average(ARIMA) constructed with plant characters of electrical signals.The signal of this plant was μV capacity,and the value increased with a hoist of the temperature.It is feasible to forecast plant electrical signals for a short period by ARIMA.The forecast data can be used as important preferences for the intelligent control system based on the adaptive characters of plants to achieve energy saving in the plastic lookum on agricultural production.