Evidence map›Paper›PMID 35746261›Full record

ArticleSensors (Basel, Switzerland)2022

A Novel Hyperspectral Method to Detect Moldy Core in Apple Fruits.

Andrea Genangeli, Giorgio Allasia, Marco Bindi, Claudio Cantini, Alice Cavaliere, Lorenzo Genesio, Giovanni Giannotta, Franco Miglietta, Beniamino Gioli

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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.

Andrea GenangeliDepartment of Agronomy and Land Management, University of Florence, P.le delle Cascine 18, 50144 Florence, Italy.ORCID 0000-0001-5359-7101
Giorgio AllasiaGruppo FOS, Via Enrico Melen, 77/ed.A, 16152 Genova, Italy.ORCID 0000-0002-3556-0513
Marco BindiDepartment of Agronomy and Land Management, University of Florence, P.le delle Cascine 18, 50144 Florence, Italy.ORCID 0000-0002-8968-954X
Claudio CantiniInstitute of Bioeconomy (IBE), National Research Council (CNR), Via Caproni 8, 50145 Florence, Italy.ORCID 0000-0002-0938-6013
Alice CavaliereInstitute of Bioeconomy (IBE), National Research Council (CNR), Via Caproni 8, 50145 Florence, Italy.
Lorenzo GenesioInstitute of Bioeconomy (IBE), National Research Council (CNR), Via Caproni 8, 50145 Florence, Italy.
Giovanni GiannottaGruppo FOS, Via Enrico Melen, 77/ed.A, 16152 Genova, Italy.
Franco MigliettaInstitute of Bioeconomy (IBE), National Research Council (CNR), Via Caproni 8, 50145 Florence, Italy.
Beniamino GioliInstitute of Bioeconomy (IBE), National Research Council (CNR), Via Caproni 8, 50145 Florence, Italy.ORCID 0000-0001-7631-2623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An innovative low-cost device based on hyperspectral spectroscopy in the near infrared (NIR) spectral region is proposed for the non-invasive detection of moldy core (MC) in apples. The system, based on light collection by an integrating sphere, was tested on 70 apples cultivar (cv) Golden Delicious infected by

Indexed as

MalusFruitNeural Networks, ComputerANN binary classificationhyperspectral classificationinternal browningmoldy corenear-infrared spectroscopy

Identifiers

PMID35746261
PMCPMC9230990

What OpenQuestion holds

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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.