Single-Frequency Sensor for Thick Rind Fruit Quality Assessment

A sensor capable of estimating the dielectric properties of the outer and inner materials of a concentric dielectric sphere is essential for assessing the quality of thick rind fruits. This paper presents a sensor design that operates at a single frequency and is straightforward. The underlying principle of the sensor involves transmitting a microwave signal to a concentric dielectric sphere with two power levels. The low-power signal yields backscattered wave from the outer sphere, while the high-power signal provides information about backscattered wave from both the outer and inner spheres. The sensor, which operates at a frequency of 10 GHz using cost-effective components, effectively detects defects in spherical-shape fruits, e.g. mangosteens. The accuracy in classifying translucent mangosteens from normal mangosteens is 92.5 % enables effective classification of defected fruits.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-05-07
DOI
https://doi.org/10.1109/jsen.2025.3566117
Citations
3
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
2.26
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Single-Frequency Sensor for Thick Rind Fruit Quality Assessment

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article

Single-Frequency Sensor for Thick Rind Fruit Quality Assessment

Monai Krairiksh, Hoang Nam Dao, Phaophak Sirisuk, Prapan Leekul, Chuwong Phongcharoenpanich
article en
3 citations

Abstract

A sensor capable of estimating the dielectric properties of the outer and inner materials of a concentric dielectric sphere is essential for assessing the quality of thick rind fruits. This paper presents a sensor design that operates at a single frequency and is straightforward. The underlying principle of the sensor involves transmitting a microwave signal to a concentric dielectric sphere with two power levels. The low-power signal yields backscattered wave from the outer sphere, while the high-power signal provides information about backscattered wave from both the outer and inner spheres. The sensor, which operates at a frequency of 10 GHz using cost-effective components, effectively detects defects in spherical-shape fruits, e.g. mangosteens. The accuracy in classifying translucent mangosteens from normal mangosteens is 92.5 % enables effective classification of defected fruits.

IEEE Sensors JournalVol. 25(12)
Vietnam Posts and Telecommunications Group (Vietnam) (VN), Rambhai Barni Rajabhat University (TH), King Mongkut's Institute of Technology Ladkrabang (TH)
Zero hunger
Openalex Percentile: Top 13%
Spectroscopy and Chemometric Analyses
2.26
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