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Mathematical Problems in Engineering - Volume 2015 2015, Article ID 565764, 10 pages -

Research Article

College of Biological & Agricultural Engineering, Jilin University, Changchun 130022, China

Academy of State Administration of Grain, Baiwanzhuang Street 11, Xicheng District, Beijing 100037, China

The College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China

Received 18 March 2014; Revised 20 August 2014; Accepted 6 September 2014

Academic Editor: Ping-Lang Yen

Copyright © 2015 Zhe Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


An online resistance grain moisture detector is designed, based on the model of the relationship between measurement frequency and grain moisture and the nonlinear correction method of temperature. The detector consists of lower computer, the core function of which is the sensing of grain resistance values which is based on V-F conversion, and upper computer, the core function of which is the conversion of moisture and frequency and the nonlinear correction of temperature. The performance of the online moisture detector is tested in a self-designed experimental system; the test and analysis results indicate that the precision and stability of the detector can reach the level of the similar products, which can be still improved.

Autor: Zhe Liu, Zidan Wu, Zhongjie Zhang, Wenfu Wu, and Hexin Li



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