A Study on Symptoms Detection of Phalaenopsis by Using Electrical Impedance Spectroscopy

碩士 === 國立中興大學 === 生物產業機電工程學系所 === 100 === This research established a non-destructive disease detection system for Phalaenopsis. Since the input signals with distinct frequency result in different impedances as responses, the electrical impedance spectroscopy is an available index to describe th...

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Bibliographic Details
Main Authors: Guan-De Wu, 吳冠德
Other Authors: TSE-MIN CHEN
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/589ezq
Description
Summary:碩士 === 國立中興大學 === 生物產業機電工程學系所 === 100 === This research established a non-destructive disease detection system for Phalaenopsis. Since the input signals with distinct frequency result in different impedances as responses, the electrical impedance spectroscopy is an available index to describe the biological statues of botanic tissue. Therefore, employing the measured impedance trend to identify the disease-infected seedlings may be a prospective technique. Former literatures indicate that the electrical impedance of plants changed depended on different frequency spectroscopy and different physiological status, which is called desperation, Desperation depicts the characters of a specific species. If a botanic tissue such as Phalaenopsis were regarded as a system that contains input signal and output signal and when the input signal was fixed and the plant’s structures have been changed, the output signal will change simultaneously. Thus the frequency spectroscopy of the impedance response of a plant illustrates the biological statues and is called the biological statues curve. This thesis employs the biological statues curve of Phalaenopsis and the least square method to organize a novel non-destructive disease detection scheme for Phalaenopsis seedlings. Using the residuals between the experiment point and the fitting transfer model, the Bold and Nyquist analysis validate the effectiveness of this decoction system for Phalaenopsis .The limitation index values for the residual Bold model is 50 and for Nyquist model is 5. Beyond these limitations seedling is awarded to be infected.