Evidence map›Paper›PMID 40353984›Full record

ArticleBiologia futura2025

Predicting growth parameters of biofertilizer inoculated pepper, using root capacitance assessments and artificial neural networks in two soils.

Flórián Kovács, Peter Sarcevic, Ákos Odry, Borbála Biró, Ingrid Gyalai, Enikő Papdi, Katalin Juhos

Abstract read
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Article in Biologia futura, 2025. 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

7 authors.

Flórián KovácsDepartment of Agro-Environmental Studies, Hungarian University of Agriculture and Life Sciences, Villányi Str. 29-43, Budapest, 1118, Hungary. Kovacs.Florian@phd.uni-mate.hu.ORCID http://orcid.org/0000-0001-9527-0959
Peter SarcevicDepartment of Mechatronics and Automation, Faculty of Engineering, University of Szeged, Moszkvai Krt. 9, Szeged, 6725, Hungary.
Ákos OdryDepartment of Mechatronics and Automation, Faculty of Engineering, University of Szeged, Moszkvai Krt. 9, Szeged, 6725, Hungary.
Borbála BiróDepartment of Agro-Environmental Studies, Hungarian University of Agriculture and Life Sciences, Villányi Str. 29-43, Budapest, 1118, Hungary.
Ingrid GyalaiInstitute of Plant Sciences and Environmental Protection, University of Szeged, Andrássy Út 15, Hódmezővásárhely, 6800, Hungary.
Enikő PapdiDepartment of Agro-Environmental Studies, Hungarian University of Agriculture and Life Sciences, Villányi Str. 29-43, Budapest, 1118, Hungary.
Katalin JuhosDepartment of Agro-Environmental Studies, Hungarian University of Agriculture and Life Sciences, Villányi Str. 29-43, Budapest, 1118, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring the root system plays an important role in understanding plant physiological processes; however, its assessment using non-destructive methods remains challenging. Here, we evaluate the utility of root capacitance (C

Indexed as

CapsicumFertilizersNeural Networks, ComputerPlant RootsSoilBiomassFertilizersSoilArtificial neural networks (ANN)AzotobacterMultiple linear regression (MLR)Non-arbuscular mycorrhizalRoot capacitanceSoil inoculationWool pellet

Identifiers

PMID40353984

What OpenQuestion holds

Textmetadata
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.