A Prediction on Electric Signals Processing of Aloe Vera Var. Chinensis

A novel model of the electric wave signal of the plant is established for the first time, there is x (n) =1.9591 times (n - 1) - 1.4927 times (n - 2) + 0.7205 times (n - 3) - 0.80219 times (n - 4) + 0.44582 times (n-5)- 0.30807 times (n - 6) + 0.19658 times (n - 7) - 0.34506 times (n - 8) + 0.52419 times (n - 9) - 0.339 times (n - 10) + 0.16681 times (n - 11) - 0.09664 times (n - 12) + 0.3625 times (n - 17) - 0.02005 times (n - 18); the fitting variance is 0.315951 and the standard deviation is 0.562095 in Aloe vera var. chinensis. It has a well effect that the fitting variance and standard deviation of models are the minimum. It is very well in the prediction effect of the AR model to the forecast 10 values of the plant electric wave signals respectively is well, and proves that the coefficient of AR model can represent main characters of plant electric wave signals. It is very importance that the function of plant electric wave signals are used to understand some regulations on the growth relationship between plants and environments.