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

被引:6
作者
Xia, Yu [1 ]
Liu, Wenxi [1 ,2 ]
Meng, Jingwu [1 ]
Hu, Jinghao [1 ]
Liu, Wenbo [1 ]
Kang, Jie [1 ]
Luo, Bin [2 ]
Zhang, Han [2 ]
Tang, Wei [1 ]
机构
[1] Shaanxi Univ Sci & Technol, Sch Elect & Control Engn, Xian, Shaanxi, Peoples R China
[2] Beijing Acad Agr & Forestry Sci, Intelligent Equipment Res Ctr, Beijing, Peoples R China
来源
FRONTIERS IN PLANT SCIENCE | 2024年 / 14卷
关键词
spatially resolved spectroscopy; optical properties; quality inspection; agriculture; hyperspectral imaging; STATE DIFFUSE-REFLECTANCE; TISSUE OPTICAL-PROPERTIES; SOLUBLE SOLIDS CONTENT; APPLE FRUIT FIRMNESS; SCATTERING PROPERTIES; STEADY-STATE; NONINVASIVE DETERMINATION; QUALITY ASSESSMENT; ABSORPTION-COEFFICIENTS; ARTIFICIAL-INTELLIGENCE;
D O I
10.3389/fpls.2023.1324881
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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.
引用
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页数:23
相关论文
共 123 条
[21]   The application of Near-Infrared Spatially Resolved Spectroscopy in scope of achieving continuous real-time quality monitoring and control of tablets with challenging dimensions [J].
De Man, A. ;
Uyttersprot, J. -S. ;
Chavez, P. -F. ;
Vandenbroucke, F. ;
Bovart, F. ;
De Beer, T. .
INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2023, 641
[22]   Deep learning based computer vision approaches for smart agricultural applications [J].
Dhanya, V. G. ;
Subeesh, A. ;
Kushwaha, N. L. ;
Vishwakarma, Dinesh Kumar ;
Kumar, T. Nagesh ;
Ritika, G. ;
Singh, A. N. .
ARTIFICIAL INTELLIGENCE IN AGRICULTURE, 2022, 6 :211-229
[23]   The determination of in vivo human tissue optical properties and absolute chromophore concentrations using spatially resolved steady-state diffuse reflectance spectroscopy [J].
Doornbos, RMP ;
Lang, R ;
Aalders, MC ;
Cross, FW ;
Sterenborg, HJCM .
PHYSICS IN MEDICINE AND BIOLOGY, 1999, 44 (04) :967-981
[24]   A DIFFUSION-THEORY MODEL OF SPATIALLY RESOLVED, STEADY-STATE DIFFUSE REFLECTANCE FOR THE NONINVASIVE DETERMINATION OF TISSUE OPTICAL-PROPERTIES INVIVO [J].
FARRELL, TJ ;
PATTERSON, MS ;
WILSON, B .
MEDICAL PHYSICS, 1992, 19 (04) :879-888
[25]   Detection model transfer of apple soluble solids content based on NIR spectroscopy and deep learning [J].
Guo, Zhiming ;
Zhang, Yiyin ;
Wang, Junyi ;
Liu, Yuanyuan ;
Jayan, Heera ;
El-Seedi, Hesham R. ;
Alzamora, Stella M. ;
Gomez, Paula L. ;
Zou, Xiaobo .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 212
[26]   Analytical solution for the single scattered radiance of two-layered turbid media in the spatial frequency domain. Part 2: Vector radiative transfer equation [J].
Hank, Philipp ;
Blum, Christian ;
Liemert, Andre ;
Geiger, Simeon ;
Kienle, Alwin .
OPTICS COMMUNICATIONS, 2023, 535
[27]   BOUNDARY-CONDITIONS FOR THE DIFFUSION EQUATION IN RADIATIVE-TRANSFER [J].
HASKELL, RC ;
SVAASAND, LO ;
TSAY, TT ;
FENG, TC ;
MCADAMS, MS ;
TROMBERG, BJ .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1994, 11 (10) :2727-2741
[28]   Monte Carlo: A flexible and accurate technique for modeling light transport in food and agricultural products [J].
Hu, Dong ;
Sun, Tong ;
Yao, Lijian ;
Yang, Zidong ;
Wang, Aichen ;
Ying, Yibin .
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2020, 102 :280-290
[29]   Spatial-frequency domain imaging coupled with frequency optimization for estimating optical properties of two-layered food and agricultural products [J].
Hu, Dong ;
Lu, Renfu ;
Ying, Yibin .
JOURNAL OF FOOD ENGINEERING, 2020, 277
[30]   A two-step parameter optimization algorithm for improving estimation of optical properties using spatial frequency domain imaging [J].
Hu, Dong ;
Lu, Renfu ;
Ying, Yibin .
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2018, 207 :32-40