Capacitive throughput sensor for plant materials – Effects of frequency and moisture content

Lev, Jakub; Kepk, Vclav; Proek, Vclav; Kumhla, Frantiek

doi:10.1016/j.compag.2016.12.014

Cited by 7 publications

(2 citation statements)

References 16 publications

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“…Thus, the water content in the material has a noticeable effect on the capacitance value of the capacitor, which is illustrated by a series of studies [ 22 , 23 , 24 ]. For example, the moisture content of plants can be obtained via such sensing technology [ 25 , 26 , 27 ]. In addition, the calculation formula for the capacitance value of a cylindrical capacitor is shown below:

where;

is permittivity, L is the height of the cylinder, R is the exradius, and r is the inner radius.…”

Section: Resultsmentioning

confidence: 99%

In Situ Fabricated Liquid Metal Capacitors for Plant Sensing

et al. 2023

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Capacitive sensors are essential to promoting modernization and intelligence in agriculture. With the continuous advancement of this sensor technology, the demand for materials with high conductivity and flexibility is rapidly increasing. Herein, we introduce liquid metal as a solution for the in-site fabrication of high-performance capacitive sensors for plant sensing. As a comparison, three pathways have been proposed for the preparation of flexible capacitors inside plants, as well as on their surfaces. Specifically, concealed capacitors can be constructed by directly injecting liquid metal into the plant cavity. Printable capacitors are prepared via printing Cu-doped liquid metal with better adhesion on plant surfaces. A composite liquid metal-based capacitive sensor is achieved by printing liquid metal on the plant surface and injecting it into the interior of the plant. While each method has limitations, the composite liquid metal-based capacitive sensor provides an optimal trade-off between signal capture capability and operability. As a result, this composite capacitor is chosen as a sensor for monitoring water changes within plants and demonstrates the desired sensing performance, making it a promising technology for monitoring plant physiology.

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where;

is permittivity, L is the height of the cylinder, R is the exradius, and r is the inner radius.…”

Section: Resultsmentioning

confidence: 99%

In Situ Fabricated Liquid Metal Capacitors for Plant Sensing

et al. 2023

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show abstract

“…Researchers have developed various types of contact humidity sensors. They can accurately collect humidity information from different mediums such as soil [21][22][23], grains [24][25][26][27], plants [28], and chemical materials [29]. Contact humidity sensors are categorized into different types based on their principles, including capacitance principle, resistance principle, time-domain reflectometry (TDR), frequency domain reflectometry (FDR), and standing wave ratio (SWR) [30].…”

Section: Introductionmentioning

confidence: 99%

A Design Method for an SVM-Based Humidity Sensor for Grain Storage

Liu,

Song,

Zhu

et al. 2024

Sensors

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One of the crucial factors in grain storage is appropriate moisture content, which plays a significant role in reducing storage losses and ensuring quality. However, currently available humidity sensors on the market fail to meet the demands of modern large-scale grain storage in China in terms of price, size, and ease of implementation. Therefore, this study aims to develop an economical, efficient, and easily deployable grain humidity sensor suitable for large-scale grain storage environments. Simultaneously, it constructs humidity calibration models applicable to three major grain crops: millet, rice, and wheat. Starting with the probe structure, this study analyzes the ideal probe structure for grain humidity sensors. Experimental validations are conducted using millet, rice, and wheat as experimental subjects to verify the accuracy of the sensor and humidity calibration models. The experimental results indicate that the optimal length of the probe under ideal conditions is 0.67 m. Humidity calibration models for millet, rice, and wheat are constructed using SVM models, with all three models achieving a correlation coefficient R2 greater than 0.9. The measured data and model-calculated data show a linear relationship, closely approximating y = x, with R2 values of all three fitted models above 0.9. In conclusion, this study provides reliable sensor technological support for humidity monitoring in large-scale grain storage and processing, with extensive applications in grain storage and grain safety management.

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Implementation of Intelligent Auto Ranging Functionality to Capacitive Level Sensor

Venkata

Mohanty

2018

2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE)

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Capacitive throughput sensor for plant materials – Effects of frequency and moisture content

Cited by 7 publications

References 16 publications

In Situ Fabricated Liquid Metal Capacitors for Plant Sensing

In Situ Fabricated Liquid Metal Capacitors for Plant Sensing

A Design Method for an SVM-Based Humidity Sensor for Grain Storage

Implementation of Intelligent Auto Ranging Functionality to Capacitive Level Sensor

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