Evidence map›Paper›PMID 38239331›Full record

ArticleEuropean journal of remote sensing2023

Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling.

Marina Ranghetti, Mirco Boschetti, Luigi Ranghetti, Giulia Tagliabue, Cinzia Panigada, Marco Gianinetto, Jochem Verrelst, Gabriele Candiani

Abstract read
In one paragraph

Article in European journal of remote sensing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Marina RanghettiInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council of Italy, Milano, Italy.ORCID https://orcid.org/0000-0002-5568-3887
Mirco BoschettiInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council of Italy, Milano, Italy.ORCID https://orcid.org/0000-0003-2156-4166
Luigi RanghettiInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council of Italy, Milano, Italy.ORCID https://orcid.org/0000-0001-6207-5188
Giulia TagliabueRemote Sensing of Environmental Dynamics Laboratory, Dipartimento di Scienze dell'Ambiente e della Terra, Università degli Studi di Milano - Bicocca, Milano, Italy.ORCID https://orcid.org/0000-0001-9725-9956
Cinzia PanigadaRemote Sensing of Environmental Dynamics Laboratory, Dipartimento di Scienze dell'Ambiente e della Terra, Università degli Studi di Milano - Bicocca, Milano, Italy.
Marco GianinettoInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council of Italy, Milano, Italy.ORCID https://orcid.org/0000-0002-6526-3093
Jochem VerrelstImage Processing Laboratory (IPL), Parc Científic, University of Valencia, Paterna, Valencia, Spain.ORCID https://orcid.org/0000-0002-6313-2081
Gabriele CandianiInstitute for Electromagnetic Sensing of the Environment (IREA), National Research Council of Italy, Milano, Italy.ORCID https://orcid.org/0000-0001-5270-071X

Funding

European Research Council 755617
6 · The paper itself

Abstract

The spaceborne imaging spectroscopy mission

Indexed as

machine learning regression algorithmsplant nitrogen uptake estimationPrecision farmingradiative transfer models

Identifiers

PMID38239331
PMCPMC7615541

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.