An overview on optical non-destructive detection of bruises in fruit: Technology, method, application, challenge and trend

Mei, Mengwen; Li, Jiangbo

doi:10.1016/j.compag.2023.108195

Cited by 18 publications

(5 citation statements)

References 148 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The American Society for Testing and Materials (ASTM) defines the electromagnetic wave with a wavelength range of 780-2526 nm as NIR light, which is usually divided into short-wave near-infrared and long-wave near-infrared. NIR light can record the frequency doubling and frequency combination absorption information of chemical bond vibrations, such as C-H, O-H, and N-H, and can obtain the physical and chemical properties of fruits [12,13].…”

Section: Visible and Near-infrared Spectroscopymentioning

confidence: 99%

Research Progress on Non-Destructive Detection of Internal Quality of Fruits with Large Size and Thick Peel: A Review

Wang,

Mei,

2023

Agriculture

Self Cite

View full text Add to dashboard Cite

Postharvest quality detection and grading are important factors to improve the commercial value of fruit. The natural biological characteristics bring challenges to the rapid and non-destructive evaluation of the internal quality of fruits with large size and thick peel. A lot of studies have tried to establish a feasible technique to achieve rapid, non-destructive, and accurate detection for this kind of fruit in commercial real-time grading. This article focuses on large-sized and thick-skinned fruits and comprehensively reviews the latest technical progress in the non-destructive detection of internal quality. It can provide a valuable reference for the development of postharvest processing technology for this kind of fruit.

show abstract

Section: Visible and Near-infrared Spectroscopymentioning

confidence: 99%

Research Progress on Non-Destructive Detection of Internal Quality of Fruits with Large Size and Thick Peel: A Review

Wang,

Mei,

2023

Agriculture

Self Cite

View full text Add to dashboard Cite

show abstract

“…Zhanghaidan et al Established a hyperspectral flame imaging system based on LCTF, and established a reconstruction model of three-dimensional temperature field and soot volume concentration field of hydrocarbon flame based on the system, and verified the rationality of the model, which provided theoretical help for the scientific judgment of fire situation and fire disaster relief command; Liuyifei [8] and others used the staring hyperspectral imager based on LCTF to realize the detection of human faces in vivo, and verified that the hyperspectral imaging technology can solve the problem that the face recognition system can not distinguish the true and false faces, effectively reducing the possibility of the system being deceived by 3D masks, videos or face photos. Zhu Siqi [9] and others have built a set of hyperspectral microscopy system based on the characteristics of LCTF hyperspectral imaging equipment, such as simple structure, wide spectral range, and suitable for detecting stationary targets. The system can find special structures in pollen and accurately identify gastric cancer cells, The related research results have positive significance for the development of hyperspectral micro imaging technology in the field of biological detection applications.…”

Section: Introductionmentioning

confidence: 99%

Dichloromethane detection based on near-infrared absorptive sensing

Yang,

Pang,

Wang

et al. 2024

Advanced Fiber Laser Conference (AFL2023)

View full text Add to dashboard Cite

High-risk liquid chemicals inadvertently enter the surrounding environment during production, storage, transportation, and use, posing a serious threat to ecosystems and human health. How to quickly detect chemical contaminants has become an urgent problem to be solved. In this paper, a new method of short-wave infrared 0. 9-1. 7 μm hyperspectral imaging telemetry based on liquid crystal tunable filter (LCTF) is proposed to replace the traditional contact nonimaging sampling analysis method. The dichloromethane liquid is characterized and combined with the envelope method and correlation coefficient algorithm for identification imaging. It can achieve remote sensing identification and distribution of four toxic liquids within a short distance of 0. 5-1. 5 meters, with a spectral resolution of up to 30 nm and a recognition accuracy of 99 %. It is a fast and accurate method for detecting surface chemical agents and toxic and hazardous substances on contaminated surfaces. Shorten the time of chemical reconnaissance and improve the efficiency of environmental perception.

show abstract

“…Nondestructive testing techniques for the quality of agricultural products have also become more and more widespread in recent years ( Tian et al., 2023 ). With the development of optical technology, some efficient and mature optical nondestructive detection techniques have emerged ( Mei and Li, 2023 ; Mohd Ali et al., 2023 ), such as visible and near-infrared (Vis-NIR) spectroscopy ( Guo et al., 2023 ) and hyperspectral imaging (HSI) ( Chen et al., 2021 ; Tian et al., 2021 ; Zhang et al., 2022 ; Zhao et al., 2023 ), which have been widely used in nondestructive quantities for physical and chemical characterization of agricultural products. These optical inspection techniques can be mainly used to measure the spectral information of agricultural products to obtain the diffuse reflectance (or transmittance) of the samples and then combine this spectral information with existing chemometrics algorithms to establish a prediction model for the quality of agricultural products.…”

Section: Introductionmentioning

confidence: 99%

Principles, developments, and applications of spatially resolved spectroscopy in agriculture: a review

Xia,

Liu,

Meng

et al. 2024

Front. Plant Sci.

View full text Add to dashboard Cite

Agriculture is the primary source of human survival, which provides the most basic living and survival conditions for human beings. As living standards continue to improve, people are also paying more attention to the quality and safety of agricultural products. Therefore, the detection of agricultural product quality is very necessary. In the past decades, the spectroscopy technique has been widely used because of its excellent results in agricultural quality detection. However, traditional spectral inspection methods cannot accurately describe the internal information of agricultural products. With the continuous research and development of optical properties, it has been found that the internal quality of an object can be better reflected by separating the properties of light, such as its absorption and scattering properties. In recent years, spatially resolved spectroscopy has been increasingly used in the field of agricultural product inspection due to its simple compositional structure, low-value cost, ease of operation, efficient detection speed, and outstanding ability to obtain information about agricultural products at different depths. It can also separate optical properties based on the transmission equation of optics, which allows for more accurate detection of the internal quality of agricultural products. This review focuses on the principles of spatially resolved spectroscopy, detection equipment, analytical methods, and specific applications in agricultural quality detection. Additionally, the optical properties methods and direct analysis methods of spatially resolved spectroscopy analysis methods are also reported in this paper.

show abstract

An overview on optical non-destructive detection of bruises in fruit: Technology, method, application, challenge and trend

Cited by 18 publications

References 148 publications

Research Progress on Non-Destructive Detection of Internal Quality of Fruits with Large Size and Thick Peel: A Review

Research Progress on Non-Destructive Detection of Internal Quality of Fruits with Large Size and Thick Peel: A Review

Dichloromethane detection based on near-infrared absorptive sensing

Principles, developments, and applications of spatially resolved spectroscopy in agriculture: a review

Contact Info

Product

Resources

About