Evidence map›Paper›PMID 37367339›Full record

ArticleInsects2023

Real-Time Detection and Classification of

Gildas Niyigena, Sangjun Lee, Soonhwa Kwon, Daebin Song, Byoung-Kwan Cho

Open access · goldAbstract read
In one paragraph

Article in Insects, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

5 authors at 2 institutions in 1 country.

Gildas NiyigenaDepartment of Smart Agricultural System, Chungnam National University, Daejeon 34134, Republic of Korea.
Sangjun LeeDepartment of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0009-0009-1580-7732
Soonhwa KwonCitrus Research Institute, Seogwipo 63607, Republic of Korea.
Daebin SongDepartment of Biosystem Bio-Industrial Machinery Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea.
Byoung-Kwan ChoDepartment of Smart Agricultural System, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0000-0002-8397-9853
Chungnam National University · KRGyeongsang National University · KR

Funding

Ministry of Education 2020R1I1A3071789
6 · The paper itself

Abstract

This study proposes a deep-learning-based system for detecting and classifying

Indexed as

lighting conditionsobject detectionreal timeScirtothrips dorsalissmartphone application

Identifiers

PMID37367339
PMCPMC10299485
OpenAlexW4379472692

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.