Analysis and mathmatical modeling for crop acoustic emission signal with disease and water stress

In this paper, the data acquisition system and the upper machine software are used to get and analyze acoustic emission signals from tomatoes plant with disease and water stress. Through statistical analysis of acoustic emission signals parameters, we proposed a mathematical model and proved its rationality. Considering the influence of noise, ultrasonic acoustic emission signals is concerned and the model is used to extract high-frequency signals. It can provide reference for irrigation control or acoustic source location.