Evidence map›Paper›PMID 29393921›Full record

ArticleSensors (Basel, Switzerland)2018

Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection.

Jan Behmann, Kelvin Acebron, Dzhaner Emin, Simon Bennertz, Shizue Matsubara, Stefan Thomas, David Bohnenkamp, Matheus T Kuska, Jouni Jussila, Harri Salo and 2 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. An Intelligent System for Monitoring Skin Diseases.Sensors (Basel, Switzerland) · 2018
    Trial
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  3. Article
  4. Review
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  6. Article
  7. Monitoring Water Stress in Grapevine (Plants (Basel, Switzerland) · 2026
    Article
  8. Radiocarbon dating and chemical imaging of carbon black-based Paleolithic cave art in the Dordogne region (France).Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  13. Review
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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

12 authors.

Jan BehmannINRES-Plant Diseases and Plant Protection, University of Bonn, 53115 Bonn, Germany. jbehmann@uni-bonn.de.
Kelvin AcebronIBG-2, Forschungszentrum Jülich (FZJ), Jülich, 52428 Germany. k.acebron@fz-juelich.de.ORCID 0000-0002-8523-0256
Dzhaner EminIBG-2, Forschungszentrum Jülich (FZJ), Jülich, 52428 Germany. d.emin@fz-juelich.de.
Simon BennertzIBG-2, Forschungszentrum Jülich (FZJ), Jülich, 52428 Germany. s.bennertz@gmail.com.
Shizue MatsubaraIBG-2, Forschungszentrum Jülich (FZJ), Jülich, 52428 Germany. s.matsubara@fz-juelich.de.ORCID 0000-0002-1440-6496
Stefan ThomasINRES-Plant Diseases and Plant Protection, University of Bonn, 53115 Bonn, Germany. stefan.thomas@uni-bonn.de.
David BohnenkampINRES-Plant Diseases and Plant Protection, University of Bonn, 53115 Bonn, Germany. davidb@uni-bonn.de.
Matheus T KuskaINRES-Plant Diseases and Plant Protection, University of Bonn, 53115 Bonn, Germany. mkuska@uni-bonn.de.
Jouni JussilaSpecim Ltd., FI-90571 Oulu, Finland. jouni.jussila@specim.fi.
Harri SaloSpecim Ltd., FI-90571 Oulu, Finland. harri.salo@specim.fi.
Anne-Katrin MahleinINRES-Plant Diseases and Plant Protection, University of Bonn, 53115 Bonn, Germany.
Uwe RascherIBG-2, Forschungszentrum Jülich (FZJ), Jülich, 52428 Germany. u.rascher@fz-juelich.de.ORCID 0000-0002-9993-4588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperspectral imaging sensors are promising tools for monitoring crop plants or vegetation in different environments. Information on physiology, architecture or biochemistry of plants can be assessed non-invasively and on different scales. For instance, hyperspectral sensors are implemented for stress detection in plant phenotyping processes or in precision agriculture. Up to date, a variety of non-imaging and imaging hyperspectral sensors is available. The measuring process and the handling of most of these sensors is rather complex. Thus, during the last years the demand for sensors with easy user operability arose. The present study introduces the novel hyperspectral camera Specim IQ from Specim (Oulu, Finland). The Specim IQ is a handheld push broom system with integrated operating system and controls. Basic data handling and data analysis processes, such as pre-processing and classification routines are implemented within the camera software. This study provides an introduction into the measurement pipeline of the Specim IQ as well as a radiometric performance comparison with a well-established hyperspectral imager. Case studies for the detection of powdery mildew on barley at the canopy scale and the spectral characterization of Arabidopsis thaliana mutants grown under stressed and non-stressed conditions are presented.

Indexed as

Plant DiseasesAscomycotaFinlandHordeumPhenotypeSoftwarecase studieshandheldhyperspectral camerasensor evaluation

Identifiers

PMID29393921
PMCPMC5855187

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.