Computing Methods in Analyzing Plant Electrical Signal

New computing devices and signal processing method have been developed in recent years for further revealing innate characteristics of complex and chaotic system in adaptation to variable external environment. Three such methods were employed in analyzing plant electrical signal system, including statistical analysis and grey system method in time domain, Fourier analysis in frequency domain, wavelet transform analysis in time frequency domain. The results show that the relations between many environmental factors and electrical signals in plant are easier to be revealed by using these methods than the traditional methods of acquiring, recording, analyzing the plant electrical signal, and therefore the result of analysis can be employed directly in production process principally.