Evidence map›Paper›PMID 35010134›Full record

ArticleFoods (Basel, Switzerland)2021

Nondestructive Detection of Codling Moth Infestation in Apples Using Pixel-Based NIR Hyperspectral Imaging with Machine Learning and Feature Selection.

Nader Ekramirad, Alfadhl Y Khaled, Lauren E Doyle, Julia R Loeb, Kevin D Donohue, Raul T Villanueva, Akinbode A Adedeji

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

7 authors.

Nader EkramiradDepartment of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA.ORCID 0000-0001-9333-9713
Alfadhl Y KhaledDepartment of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA.
Lauren E DoyleDepartment of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA.
Julia R LoebDepartment of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA.
Kevin D DonohueDepartment of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40546, USA.ORCID 0000-0003-4423-6296
Raul T VillanuevaDepartment of Entomology, University of Kentucky, Princeton, KY 42445, USA.
Akinbode A AdedejiDepartment of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA.ORCID 0000-0002-3497-0166

Funding

National Institute of Food and Agriculture 2019-67021-29692
6 · The paper itself

Abstract

Codling moth (CM) (

Indexed as

applescodling mothfeature selectionhyperspectral imagingmachine learningnear-infrared

Identifiers

PMID35010134
PMCPMC8750721

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.