Agricultural products moisture content measurement error estimation with the use of a four-element capacitive sensor model

This paper presents the new technology and applications on microwave sensor for moisture content measurement. A dual-frequency microwave sensor based on circular microstrip antenna has been developed to measure moisture content(MC) of lossy liquids. The experiment is based on measurements of far-field reflection at two frequencies in the X-band,8.48 and 10.69GHz. Moisture content of the rubber latex samples can be determined with a standard error 0.49%.A prototype microwave based moisture sensor system suitable for the kiln drying of hardwood lumber has been developed. Using the prototype electronics and sensors, have obtained measurements of MC over the above MC range for red oak and yellow poplar with standard deviations of less than 1.5% MC at 4.5 to 6GHz.A smart active microwave sensor for measuring the moisture content of felts used in the paper milling industry and more generally of sheet-like materials is presented. An inversion procedure based on an Artificial Neural Network (ANN) approach is proposed in order to determine the moisture content of the felts. Finally the technical challenges and developing prospect of microwave sensors for Moisture Content Measurement are discussed.

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Moisture Content: Measurement

Encyclopedia of Agricultural, Food, and Biological Engineering, Second Edition ◽

10.1081/e-eafe2-120006889 ◽

2010 ◽

pp. 1086-1089

Author(s):

Carl J. Bern ◽

Thomas Brumm

Keyword(s):

Moisture Content ◽

Content Measurement ◽

Moisture Content Measurement

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High-Moisture Content Measurement of Grain by Microwaves

Journal of Microwave Power ◽

10.1080/16070658.1981.11689246 ◽

1981 ◽

Vol 16 (3) ◽

pp. 253-256 ◽

Cited By ~ 7

Author(s):

Seichi Okamura

Keyword(s):

Moisture Content ◽

High Moisture Content ◽

High Moisture ◽

Content Measurement ◽

Moisture Content Measurement

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An Infra-Red Heating Based Fast Method of Moisture Content Measurement and Its Application to Measure Blend Proportion of Polyester-Viscose Woven Fabrics

Journal of Engineered Fibers and Fabrics ◽

10.1177/155892501000500203 ◽

2010 ◽

Vol 5 (2) ◽

pp. 155892501000500

Author(s):

V.K. Kothari ◽

Kausik Bal

Keyword(s):

Moisture Content ◽

Woven Fabrics ◽

Infrared Heating ◽

Fast Method ◽

Regression Equations ◽

Drying Time ◽

Content Measurement ◽

Measured Moisture Content ◽

Moisture Content Measurement ◽

Blend Proportion

Moisture content values of plain woven fabrics of polyester-viscose blended yarns were measured using standard conditioning procedures as well as a new method of preconditioning of samples using infrared heating and subsequent conditioning in a desiccator for a specific conditioning time. The effects of drying time and conditioning time on measured moisture content values were studied and optimization of these parameters were done. Results of the moisture content measurement using these methods show a sufficiently linear relationship between measured moisture content and the proportion of viscose in the fabric samples. The regression analysis showed very high coefficients of determination (above 0.98) in all cases. Regression equations were used to predict the blend proportion of fabric samples from the moisture content data. It was found that even the moisture content values using a shorter conditioning time of 60 minutes and even 10 minutes yielded correct prediction with a maximum error of magnitude less than 3.0 in blend percentage values.

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