Evidence map›Paper›PMID 36035687›Full record

ArticleFrontiers in plant science2022

Research hotspots and frontiers in agricultural multispectral technology: Bibliometrics and scientometrics analysis of the Web of Science.

Yali Zhang, Dehua Zhao, Hanchao Liu, Xinrong Huang, Jizhong Deng, Ruichang Jia, Xiaoping He, Muhammad Naveed Tahir, Yubin Lan

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  3. Article
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Precision Livestock Farming Research: A Global Scientometric Review.Animals : an open access journal from MDPI · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. 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.

Yali ZhangCollege of Engineering, South China Agricultural University, Guangzhou, China.
Dehua ZhaoCollege of Engineering, South China Agricultural University, Guangzhou, China.
Hanchao LiuCollege of Engineering, South China Agricultural University, Guangzhou, China.
Xinrong HuangCollege of Engineering, South China Agricultural University, Guangzhou, China.
Jizhong DengCollege of Engineering, South China Agricultural University, Guangzhou, China.
Ruichang JiaCollege of Engineering, South China Agricultural University, Guangzhou, China.
Xiaoping HeDepartment of Information Consulting, Library, South China Agricultural University, Guangzhou, China.
Muhammad Naveed TahirDepartment of Agronomy, Pir Mehr Ali Shah-Arid Agriculture University, Rawalpindi, Pakistan.
Yubin LanNational Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multispectral technology has a wide range of applications in agriculture. By obtaining spectral information during crop production, key information such as growth, pests and diseases, fertilizer and pesticide application can be determined quickly, accurately and efficiently. The scientific analysis based on Web of Science aims to understand the research hotspots and areas of interest in the field of agricultural multispectral technology. The publications related to agricultural multispectral research in agriculture between 2002 and 2021 were selected as the research objects. The softwares of CiteSpace, VOSviewer, and Microsoft Excel were used to provide a comprehensive review of agricultural multispectral research in terms of research areas, institutions, influential journals, and core authors. Results of the analysis show that the number of publications increased each year, with the largest increase in 2019. Remote sensing, imaging technology, environmental science, and ecology are the most popular research directions. The journal

Indexed as

agricultureCiteSpacemultispectralNDVIremote sensingWeb of Science

Identifiers

PMID36035687
PMCPMC9404299

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.