Non-destructive detection of moisture content for Ginkgo biloba fruit with terahertz spectrum and image: A preliminary study

Gong, Zaiwu; Deng, Di; Sun, Xudong; Liu, Junbin; Ouyang, Yibo

doi:10.1016/j.infrared.2021.103997

Cited by 14 publications

(4 citation statements)

References 15 publications

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“…Lei et al [ 115 ] used a terahertz time-domain imaging system combined with a deep learning approach (AE-GAN) to visualize the moisture distribution of sunflower seeds and automatically learned kernel information from the spectral potential representation of intact seeds through adversarial learning to achieve feature separation and successfully obtained high-quality chemical distribution maps of the energy and moisture content within the sunflower seed shells. Gong et al [ 116 ] used terahertz spectroscopy and imaging techniques to study the variation in the moisture content of ginkgo nuts, characterizing the effect of moisture on THz using the time-domain spectrum and frequency signal of the absorption coefficient, and the variation in ginkgo nuts at different moisture contents (3%, 15%, 25%, 35%, and 45%) using terahertz imaging techniques. The imaging results are shown in Figure 5 .…”

Section: Research Progress Of Moisture Detection Based On Thz Wavementioning

confidence: 99%

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Recent Advances in THz Detection of Water

Sun

Jiang

et al. 2023

IJMS

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The frequency range of terahertz waves (THz waves) is between 0.1 and 10 THz and they have properties such as low energy, penetration, transients, and spectral fingerprints, which are especially sensitive to water. Terahertz, as a frontier technology, have great potential in interpreting the structure of water molecules and detecting biological water conditions, and the use of terahertz technology for water detection is currently frontier research, which is of great significance. Firstly, this paper introduces the theory of terahertz technology and summarizes the current terahertz systems used for water detection. Secondly, an overview of theoretical approaches, such as the relaxation model and effective medium theory related to water detection, the relationship between water molecular networks and terahertz spectra, and the research progress of the terahertz detection of water content and water distribution visualization, are elaborated. Finally, the challenge and outlook of applications related to the terahertz wave detection of water are discussed. The purpose of this paper is to explore the research domains on water and its related applications using terahertz technology, as well as provide a reference for innovative applications of terahertz technology in moisture detection.

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Section: Research Progress Of Moisture Detection Based On Thz Wavementioning

confidence: 99%

“… THz images of intact seeds of Ginkgo biloba fruits with different water contents. ( a ) water content 45%, ( b ) water content 35%, ( c ) water content 25%, ( d ) water content 15%, ( e ) water content 3% and ( f ) a enlarged region of interest [ 116 ]. …”

Section: Figurementioning

confidence: 99%

Recent Advances in THz Detection of Water

Sun

Jiang

et al. 2023

IJMS

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“…Terahertz waves have excellent penetration into non-polar materials and are widely utilized in cultural heritage protection, food and aerospace, such as the hollowing deterioration of stone (Meng et al, 2021), testing the internal moisture content of fruits (Gong et al, 2022), microstructure optimization of thermal barrier coatings for aircraft engines (Ye et al, 2020), and defect detection in rocket fuels (Hlosta et al, 2022). Terahertz time-domain spectroscopy is also used to detect submillimeter-scale defects in insulating materials in high-voltage equipment (Cheng et al, 2021).…”

Section: Figure 11mentioning

confidence: 99%

A review of non-destructive methods for the detection tiny defects within organic insulating materials

et al. 2022

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In recent years, solid organic materials such as silicone rubber and epoxy resin have been widely used in electrical equipment due to their excellent insulation properties. However, as a result of manufacturing and design flaws as well as aging issues during operation, the insulating materials in the linked state no longer fit tightly and tiny structural defects (defect size less than 10 mm) develop, such as debonding at the composite interface, pores or cracks within the insulating material, etc. Tiny defects are prone to partial discharges and breakdowns, compromising the safety of high-voltage power equipment, particularly when subjected to strong electric fields. Therefore, it is necessary to carry out non-destructive testing (NDT) for such tiny defects. Such defects are small in size, easily buried in the material, and even some are wrapped in metal, which in turn requires very high detection accuracy, but traditional methods are difficult to achieve, so NDT technologies for tiny defects within insulating materials have become a research hotspot in the field of electric power in recent years. This paper firstly introduces the sources of tiny defects in solid organic insulating materials for electrical equipment. Secondly, the harm caused by structural defects is elaborated. Finally, emerging NDT methods and their advantages and limitations in defect detection are described in detail. The review aims to provide the reader with a comprehensive overview of most of the NDT techniques used in the detection of tiny defects within solid organic insulating materials for electrical equipment and their most salient features.

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“…Liu et al [ 15 ] used multi-spectral imaging combined with machine learning to perform rapid and non-destructive detection of the level and content of zinc contamination in maize, and the study has important implications for the safety of maize seeds. Gong et al [ 16 ] collected terahertz spectra and images of intact ginkgo seeds and their slices with different water contents and used the sensitivity of terahertz waves for liquid water to study the non-destructive detection method of water content variation in ginkgo fruit. Xue and Tan [ 17 ] utilized front-face synchronous fluorescence spectroscopy to analyze the composition of flour blends rapidly and non-destructively, and used least squares regression to develop predictive models for binary and quaternary flour blends.…”

Section: Introductionmentioning

confidence: 99%

Rapid Non-Destructive Analysis of Food Nutrient Content Using Swin-Nutrition

Shao

Hou

Jia

et al. 2022

Foods

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Food non-destructive detection technology (NDDT) is a powerful impetus to the development of food safety and quality. One of the essential tasks of food quality regulation is the non-destructive detection of the food’s nutrient content. However, existing food nutrient NDDT performs poorly in terms of efficiency and accuracy, which hinders their widespread application in daily meals. Therefore, this paper proposed an end-to-end food nutrition non-destructive detection method, named Swin-Nutrition, which combined deep learning and NDDT to evaluate the nutrient content of food. The method aimed to fully capture the feature information from the food images and thus accurately estimate the nutrient content. Swin-Nutrition resorted to Swin Transformer, the feature fusion module (FFM), and the nutrient prediction module to evaluate nutrient content. In particular, Swin Transformer acted as the backbone network for feature extraction of food images, and FFM was used to obtain the discriminative feature representation to improve the accuracy of prediction. The experimental results on the Nutrition5k dataset demonstrated the effectiveness and efficiency of our proposed method. Specifically, the mean value of the percentage mean absolute error (PMAE) for calories, mass, fat, carbohydrate, and protein were only 15.3%, 12.5%, 22.1%, 20.8%, and 15.4%, respectively. We hope that our simple and effective method will provide a solid foundation for the research of food NDDT.

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Non-destructive detection of moisture content for Ginkgo biloba fruit with terahertz spectrum and image: A preliminary study

Cited by 14 publications

References 15 publications

Recent Advances in THz Detection of Water

Recent Advances in THz Detection of Water

A review of non-destructive methods for the detection tiny defects within organic insulating materials

Rapid Non-Destructive Analysis of Food Nutrient Content Using Swin-Nutrition

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