Microwave-Based Moisture Estimation by Scanning for Paddy Inspection

Jiarasuwan, Seksan; Chamnongthai, Kosin; Kittiamornkul, Navapadol

doi:10.1109/tsp49548.2020.9163448

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…Normally, users may prefer moisture estimation or measurement in the whole workpiece rather than sampling, especially for arbitrarily shaped containers. Therefore, the authors of this paper tried to estimate moisture in percent of the whole granular materials in any container shape and explored the possibility of using attenuation based on microstrip antenna arrays in several shapes for paddy inspection [71,72]. The results confirmed that paddy moisture can be estimated using microwave attenuation based on simulations and calculations.…”

Section: Introductionmentioning

confidence: 69%

A Design Method for a Microwave-Based Moisture Sensing System for Granular Materials in Arbitrarily Shaped Containers

2021

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To estimate the moisture in an entire arbitrarily shaped workpiece, an automatic system should continuously sense moisture at all points of the workpiece. This paper proposes a design method for a microwavebased moisture sensing system for granular materials in arbitrarily shaped containers based on scanning in a moisture sensing box. The size of the moisture sensing box is first determined as the maximum size of any granular material containers based on initial user requirements. The moisture sensing system physically consists of a pair of antennas for microwave transmission and reception and a pair of distance sensors scanning throughout the maximum scanning range of the moisture sensing box to find the attenuation and workpiece thickness at all points of the workpiece, and these sensed microwave attenuations and workpiece thickness measurements are then used to calculate the moisture at all points of the workpiece. The average moisture of all points is finally taken as the estimated moisture of the whole workpiece.To evaluate the performance of the proposed system, experiments have been performed with granular materials in containers of various shapes, and the estimation results show the proposed method of continuous moisture scanning of a workpiece can improve 7.77% approximately compared with the antenna array approach.

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Section: Introductionmentioning

confidence: 69%

A Design Method for a Microwave-Based Moisture Sensing System for Granular Materials in Arbitrarily Shaped Containers

2021

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“…Humidity monitoring technology can be categorized into two types based on the operation: contact and non-contact. Non-contact techniques primarily utilize microwave [17,18], infrared [19,20], or ultrasonic technologies, enabling moisture measurement without directly contacting the medium. Although non-contact methods do not damage the medium, their sensing accuracy is lower compared to contact methods, and they generally incur higher costs.…”

Section: Related Workmentioning

confidence: 99%

“…Currently, humidity monitoring technologies commonly fall into two categories: contact and non-contact. Non-contact technologies, such as those utilizing microwave [17][18][19][20], infrared [21,22], or ultrasonic waves, enable moisture measurement without direct contact with the medium. While these methods avoid damaging the medium, their sensing accuracy typically lags behind that of contact methods, and they often involve higher costs.…”

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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Microwave-Based Moisture Estimation by Scanning for Paddy Inspection

Cited by 2 publications

References 6 publications

A Design Method for a Microwave-Based Moisture Sensing System for Granular Materials in Arbitrarily Shaped Containers

A Design Method for a Microwave-Based Moisture Sensing System for Granular Materials in Arbitrarily Shaped Containers

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

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