Processing on Information Fusion of Weak Electrical Signals in Plants

Information transmission of weak electrical signals in Bellis perennis was inosculated by a touching test system of self-made double shields with platinum sensors. Tested data of electrical signals denoised by the wavelet soft threshold and using Gaussian radial base function (RBF) as the time series at a delayed input window chosen at 50. An intelligent RBF model was set up to forecast the signal in this plant. Testing result shows that it is feasible to forecast the weak electrical signal of plants for a short period. The forecast data can be used as an important preference for the intelligent automatic control system based on the adaptive characteristic of plants both the greenhouse and/or plastic lookum to achieve the energy saving on agricultural production.