Density-independent radiofrequency dielectric models for moisture estimation in grain sorghum

Berbert, Pedro Amorim; Moura, Eros Estevão de; Molina, M. A. B.; Soares, K. J.; Oliveira, Márcia Terezinha Ramos de

doi:10.1007/s11694-016-9387-z

Cited by 4 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in addition to the moisture content, the grain variety, excitation frequency, bulk density, and temperature will affect the detection results of a capacitive grain moisture sensor [7,9]. So, the accuracy and stability of detection results cannot be guaranteed [19][20][21][22][23][24]. In order to improve the detection accuracy of different grain varieties, researchers study their dielectric properties in different excitation frequencies, moisture contents, temperature, and densities [25][26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Design of Capacitive Paddy Moisture Sensor Based on Electrical Impedance Spectroscopy Analysis

et al. 2020

View full text Add to dashboard Cite

The intelligent control of the paddy drying process is an prominent development trend and the accurate detection of paddy moisture content is the basis for the intelligent control of the paddy drying process. For the design of a paddy moisture sensor, electrical impedance spectroscopy experiments of the paddy variety Wu Yu Jing 3 (Oryza sativa L.) were conducted to optimize the excitation frequency and establish a paddy moisture detection model. By analyzing the change of paddy capacitance in moisture ranging from 14% to 29% over the frequency ranging from 100 Hz to 1 MHz with temperature ranging from 40 °C to 80 °C, 2 kHz is selected as the excitation frequency for paddy moisture detection in this study. Two-thirds of the experimental data points (i.e., 55 experiments points) at 2 kHz were modeled by regression analysis and the remaining one-third of the experimental data points (i.e., 28 experiments points) were used to evaluate the paddy moisture detection models. The R2 of the paddy moisture detection model was 0.933 and the standard deviation of fitting test was 1.14%. A paddy moisture sensor was designed, and the standard deviation of the detection residual was 1.23%, which was close to the standard deviation 1.14% in the fitting test.

show abstract

Section: Introductionmentioning

confidence: 99%

Design of Capacitive Paddy Moisture Sensor Based on Electrical Impedance Spectroscopy Analysis

et al. 2020

View full text Add to dashboard Cite

show abstract

“…13,14 The moisture content of materials can be measured indirectly by detecting the changes of relevant parameters caused by the interaction of microwave and water-containing materials. 15,16 For granular materials, dielectric properties depend on moisture content, bulk density, frequency, and temperature. 17–20 At constant frequency and temperature, moisture content can be determined using a density-independent function by measuring the attenuation and phase shift after microwave penetration of the tested sample.…”

Section: Introductionmentioning

confidence: 99%

Free space traveling–standing wave attenuation method for microwave sensing of grain moisture content

Chen

et al. 2020

Measurement and Control

View full text Add to dashboard Cite

Moisture content is an important index to assess the grain quality and food processing conditions. A measurement system based on the traveling–standing microwave attenuation method is designed for a fast and nondestructive grain moisture content determination. The proposed system consists of a microwave cavity oscillator, microwave transmitting and receiving horn antennas, microwave detector, slide rail, sample container, weight sensor, temperature sensor, and controller. The traveling–standing wave caused by free space microwave multiple reflection is discussed. The moisture content calibration functions eliminated the interference of bulk density and temperature are proposed based on the attenuation of the maximum field strength of the transmission traveling–standing wave. The moisture content of rice, which ranges from 10.75% to 27.62%, is obtained with a standard error of prediction (SEP) of 0.586% and a coefficient of determination ( R2) of 0.988, whereas the moisture content of corn, which ranges from 7.72% to 24.46%, is obtained with a SEP of 0.340% and R2 of 0.991. The main results might provide technical support for the development of accurate and intelligent grain quality detection equipment.

show abstract

Predicting sorghum moisture content with radiofrequency dielectric functions

Berbert¹,

Soares²,

Moura³

et al. 2019

Engineering in Agriculture, Environment and Food

View full text Add to dashboard Cite

Density-independent radiofrequency dielectric models for moisture estimation in grain sorghum

Cited by 4 publications

References 20 publications

Design of Capacitive Paddy Moisture Sensor Based on Electrical Impedance Spectroscopy Analysis

Design of Capacitive Paddy Moisture Sensor Based on Electrical Impedance Spectroscopy Analysis

Free space traveling–standing wave attenuation method for microwave sensing of grain moisture content

Predicting sorghum moisture content with radiofrequency dielectric functions

Contact Info

Product

Resources

About