Abstract

A system for detecting the conditions of crop disease stress by acoustic emission technology was studied and developed, and the contrast experiment study was carried out in a greenhouse by taking a healthy tomato and a disease stressed tomato crop as the objects. The PCI-2 acoustic emission board and R15 acoustic emission sensor probes were chosen to construct the hardware detecting system, and the AEWIN software and virtual instrument technology were utilized to construct the software system, a real-time acquisition and detecting system for the information between acoustic emission and disease stress of crop was established. The results show that there are certain physiological cycle laws in the acoustic emission of healthy crop, generally the “double peak area” can appear; there occurs distortion in the acoustic emission of disease stressed crop, a sharp increase of the acoustic emission frequency can suddenly take place at some time, which implies the crop begins to show disease symptoms, and acoustic emission signals lose the regularity. By taking these as the theoretical basis, it is required to further determine the relationship between acoustic emission signals and disease degrees and physiological states of crops, and to investigate diseases forecasting and automatic spraying of agricultural pesticide variables of main crops, which will become a new approach for the physiological signal detection of crops as well as comprehensive and precise prevention and cure of diseases.

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