Evidence map›Paper›PMID 38269139›Full record

ReviewFrontiers in plant science2023

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

Yu Xia, Wenxi Liu, Jingwu Meng, Jinghao Hu, Wenbo Liu, Jie Kang, Bin Luo, Han Zhang, Wei Tang

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yu XiaSchool of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi'an, Shaanxi, China.
Wenxi LiuSchool of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi'an, Shaanxi, China.
Jingwu MengSchool of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi'an, Shaanxi, China.
Jinghao HuSchool of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi'an, Shaanxi, China.
Wenbo LiuSchool of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi'an, Shaanxi, China.
Jie KangSchool of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi'an, Shaanxi, China.
Bin LuoIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Han ZhangIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
Wei TangSchool of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

agriculturehyperspectral imagingoptical propertiesquality inspectionspatially resolved spectroscopy

Identifiers

PMID38269139
PMCPMC10805836

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.