Title :
Study on detecting system of crop disease stress with acoustic emission technology
Author :
Yang, Shi-feng ; Guo, Jian-ying ; Zhao, Ji-min ; Wang, Huai-you
Author_Institution :
Coll. of Electron. Inf. & Autom., Tianjin Univ. of Sci. & Technol., Tianjin, China
Abstract :
Summary form only given. 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.
Keywords :
acoustic emission testing; acoustic signal detection; agrochemicals; biotechnology; crops; data acquisition; diseases; greenhouses; pest control; sensors; virtual instrumentation; AEWIN software; PCI-2 acoustic emission board; R15 acoustic emission sensor probes; acoustic emission signals; acoustic emission technology; agricultural pesticide; automatic spraying; crop disease stress; cure; disease forecasting; greenhouse; hardware detecting system; physiological cycle laws; physiological signal detection; physiological states; real-time acquisition; tomato; virtual instrument technology; Acoustic emission; Acoustic sensors; Acoustic signal detection; Crops; Diseases; Hardware; Object detection; Probes; Sensor systems; Stress; Disease stress; acoustic emission (AE); detecting; virtual instrument;
Conference_Titel :
Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA) and 2009 China Symposium on Frequency Control Technology, Joint Conference of the 2009 Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4950-7
DOI :
10.1109/SPAWDA.2009.5428976