Evidence map›Paper›PMID 42179609›Full record

ArticleACS omega2026

Visible-Near-Infrared Hyperspectral Imaging Enables Nondestructive Identification of Bean Accessions via 1D Spectral Reflectance Analysis.

Renan Falcioni, Nicole Ghinzelli Vedana, Caio Almeida de Oliveira, João Vitor Ferreira Gonçalves, José Alexandre M Demattê, Marcos Rafael Nanni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Renan FalcioniGraduate Program in Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil.ORCID https://orcid.org/0000-0002-2343-5045
Nicole Ghinzelli VedanaGraduate Program in Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil.
Caio Almeida de OliveiraGraduate Program in Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil.ORCID https://orcid.org/0009-0009-0148-5824
João Vitor Ferreira GonçalvesGraduate Program in Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil.
José Alexandre M DemattêDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Av. Pádua Dias, 11, Piracicaba 13418-260, São Paulo, Brazil.ORCID https://orcid.org/0000-0001-5328-0323
Marcos Rafael NanniGraduate Program in Agronomy, State University of Maringá, Av. Colombo, 5790, Maringá 87020-900, Paraná, Brazil.ORCID https://orcid.org/0000-0003-4854-2661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable seed accession identification via sensors underpins germplasm conservation, traceability, and breeding, yet conventional assays are often destructive, labor-intensive, and difficult to scale. Here, visible-near-infrared (VNIR) hyperspectral imaging (Headwall Photonics, 825 bands) was used to obtain one ROI-averaged 1D reflectance spectrum per seed and to classify 32 grain-legume accessions (

Identifiers

PMID42179609
PMCPMC13191541

What OpenQuestion holds

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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.