A grain moisture model based on capacitive sensor

Wu, Sitong; Zhang, Boyuan; Tian, Yinghui; Zhou, Shaolei; Ma, Hongan

doi:10.1088/1742-6596/1074/1/012120

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…However, many factors will influence the capacitance measuring. Taking the flatbed capacitor as an example, the medium can be divided into corn, water in the corn, and air [ 23 ]. The equivalent model diagram of this plate medium is showed in Figure 1 .…”

Section: Design Of the Corn Moisture Sensormentioning

confidence: 99%

The Design and Experimentation of a Corn Moisture Detection Device Based on Double Capacitors

Han,

Wang,

Shi

et al. 2024

Sensors

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Detecting the moisture content of grain accurately and rapidly has important significance for harvesting, transport, storage, processing, and precision agriculture. There are some problems with the slow detection speeds, unstable detection, and low detection accuracy of moisture contents in corn harvesters. In that case, an online moisture detection device was designed, which is based on double capacitors. A new method of capacitance complementation and integration was proposed to eliminate the limitation of single data. The device is composed of a sampling mechanism and a double-capacitor sensor consisting of a flatbed capacitor and a cylindrical capacitor. The optimum structure size of the capacitor plates was determined by simulation optimization. In addition to this, the detection system with software and hardware was developed to estimate the moisture content. Indoor dynamic measurement tests were carried out to analyze the influence of temperature and porosity. Based on the influencing factors and capacitance, a model was established to estimate the moisture content. Finally, the support vector machine (SVM) regressions between the capacitance and moisture content were built up so that the R2 values were more than 0.91. In the stability test, the standard deviation of the stability test was 1.09%, and the maximum relative error of the measurement accuracy test was 1.22%. In the dynamic verification test, the maximum error of the measurement was 4.62%, less than 5%. It provides a measurement method for the accurate, rapid, and stable detection of the moisture content of corn and other grains.

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Section: Design Of the Corn Moisture Sensormentioning

confidence: 99%

The Design and Experimentation of a Corn Moisture Detection Device Based on Double Capacitors

Han,

Wang,

Shi

et al. 2024

Sensors

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show abstract

“…However, even the most popular laboratory moisture meters like Kett, AgraTronix, Isoelectric, and Next Instruments series have a significant accuracy decrease when determining moisture in different kinds of grains of the same type, for example, in different kinds of wheat. An extensive list of factors influences the accuracy of current moisture meters in different bulk substances (Wu et al, 2018;Wanga and Wang, 2012). In addition, it can be said that grain products' physical and chemical composition depends not only on the grains' type but the origin and ways of cultivation, storage, and processingfactors that can hardly be predicted (Thakur et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…This compensation is traditionally performed in a secondary measuring transducer using complementary reference capacitors, particular analytic calculations, reference calibration curves stored in the secondary measuring transducers' memory, etc. (Wu et al, 2018;Jafari et al, 2020). Traditional ways of 'type uncertainty' compensation can be used only when it is possible to get an analytic forecast of chemical composition and different features of all the materials, which list is usually limited to a few grain types.…”

Section: Introductionmentioning

confidence: 99%

Grain Moisture Measurement System With Robust Transfer Function, Invariant to the Change of a Physico-Chemical Grain Composition

ZABOLOTNYI

Zabolotnyi

Koshevoy

2023

INMATEH

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The main task was to receive a robust transfer function for the capacitive grain moisture measurement system. It was estimated how the new transfer function compensates for the type uncertainty and how close it is to the nominal values of moisture content. Dispersions of adequacy and repeatability of the new transfer function, which describe possible variation in the measured moisture values and the correspondence of the new transfer function with the nominal linear transfer function of a moisture meter respectively, were calculated for five chosen substances. It was proved that the new transfer function has lower sensitivity to grain type and better adequacy to the ideal transfer function than the closest analog.

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Correction of Temperature Influences in Moisture of Bulk Materials Measurement by Capacitance Method

Dorozhovets

Івах

Warsza

2022

Advances in Intelligent Systems and Computing

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A grain moisture model based on capacitive sensor

Cited by 6 publications

References 2 publications

The Design and Experimentation of a Corn Moisture Detection Device Based on Double Capacitors

The Design and Experimentation of a Corn Moisture Detection Device Based on Double Capacitors

Grain Moisture Measurement System With Robust Transfer Function, Invariant to the Change of a Physico-Chemical Grain Composition

Correction of Temperature Influences in Moisture of Bulk Materials Measurement by Capacitance Method

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