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Prediction model of blade moisture content based on dielectric properties and establishment method

A technology for predicting models and dielectric properties, applied in the field of non-destructive testing, to achieve high measurement accuracy, easy and fast detection, and less measurement parameters

Active Publication Date: 2018-11-06
JIANGSU UNIV
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Problems solved by technology

[0004] The research results on the dielectric properties of crop leaves are aimed at finding the correlation between the dielectric parameters and the water content of the leaves, but no one has done in-depth research on the influence of the frequency and voltage of the excitation signal source of the external electric field on the leaves. Research

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  • Prediction model of blade moisture content based on dielectric properties and establishment method
  • Prediction model of blade moisture content based on dielectric properties and establishment method
  • Prediction model of blade moisture content based on dielectric properties and establishment method

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Embodiment Construction

[0033] The flow chart of the prediction model of blade water content dielectric properties based on the optimal test frequency and voltage and its establishment method is as follows figure 1 shown.

[0034] (1) Test sample selection: the test object of the present invention is selected as tomato leaves, and the test variety is "Yangtze River No. 1" tomato, and the tomato samples are uniformly cultivated by adopting the perlite potting method. The test site was carried out in the Venlo-type greenhouse of the Jiangsu University Modern Agricultural Equipment and Technology Key Laboratory jointly established by the Ministry of Agriculture and the Ministry of Agriculture. In the initial stage of growth, the seedlings are cultivated uniformly, including irrigation and fertilization. The water stress test was carried out during the tomato flowering period. The samples were divided into five groups, named T1, T2, T3, T4, and T5 respectively. The watering frequency was controlled as f...

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Abstract

The invention relates to a prediction model of blade moisture content based on dielectric properties and an establishment method, and belongs to the technical field of non-destructive testing. A LCR measuring apparatus is used to determine the dielectric parameters of a blade under an optimum frequency and voltage, and the dielectric parameters are substituted into the prediction model to calculate the blade moisture content. In order to overcome the shortcomings of traditional blade moisture content detection methods and provide a preliminary exploration and theoretical basis for the development of blade moisture content detection instruments, the influence of the frequency and the voltage of an applied electric excitation signal on the dielectric parameters of the blade are explored, theoptimum frequency and voltage are selected out, and based on the optimum frequency and voltage, the prediction model of the blade moisture content is established.

Description

technical field [0001] The invention relates to a method for nondestructively measuring material properties based on dielectric properties, and belongs to the technical field of nondestructive testing. Background technique [0002] Water is one of the important elements that affect the yield and quality of crops. If the water is insufficient during the growth period, the fruit will become smaller and the yield will be reduced; if the water supply is too much, it will not only cause the plants to grow wildly, but also reduce the quality of the crops and cause waste of water resources. . Therefore, it is of practical significance to study a fast and accurate water detection method that can provide effective monitoring of the water environment during crop growth. [0003] The traditional leaf moisture content detection methods mainly include the drying method and the Karl Fischer method. These two methods are destructive, waste resources, and take a long time. They are destruc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/22
CPCG01N27/221G01N27/223
Inventor 孙俊莫云南芦兵戴春霞杨宁田燕陈勇
Owner JIANGSU UNIV
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