Research on Noise Elimination Algorithm of Plant Electrical Signal under Controllable Environment

As a weak low-frequency time-varying signal in plants, plant electrical signals are easily affected by various noise signals during the detection process. In order to obtain plant electrical signals accurately, this paper builds a plant electrical signal detection platform in a controlled environment, and the applications of wavelet hard threshold denoising, wavelet soft threshold denoising and unbiased risk estimation denoising are compared and analyzed in the denoising of plant electrical signals. The research results show that the soft national noise reduction method based on the wavelet analysis method has the largest SNR value and good noise reduction effect, which can be used as one of the ideal noise reduction methods in the study of plant electrical signals.