Evidence map›Paper›PMID 40102602›Full record

ArticleScientific reports2025

Development of a UVC application machine for managing plant diseases in soilless greenhouse crop production.

Turgut Felek, Ahmet Kürklü, Hüseyin Basim

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Turgut FelekThe Institute of Natural and Applied Sciences, Akdeniz University, Antalya, Turkey. turgutfelek@akdeniz.edu.tr.
Ahmet KürklüFaculty of Agriculture, Department of Agricultural Machinery and Technologies Engineering, Akdeniz University, Antalya, Turkey.
Hüseyin BasimFaculty of Agriculture, Department of Plant Protection, Akdeniz University, Antalya, Turkey.

Funding

Akdeniz Üniversitesi FBA-2019-1623
6 · The paper itself

Abstract

This study aimed to develop a UVC machine designed for the treatment of common fungal, bacterial, and viral diseases in greenhouse-grown crops, serving as an alternative to chemical applications. The machine utilizes standard battery carts or trolley infrastructure for mobility along heating pipes in greenhouses. The machine is equipped with 8 UVC lamps, four on each side, each having a power of 145 W and a length of 1.5 m, complete with reflectors. The lamps can be adjusted both vertically and horizontally to optimize their positioning based on the crop conditions. Two 24 V switches control the lamp power levels according to data received from the microcontroller. Each lamp can be controlled via software, allowing them to be turned on or off as needed. The lamps on either side of the machine can be operated independently to provide the specific dosage required for treating plant diseases within a range of 5 to 100 mJ/cm

Indexed as

Crop ProductionCrops, AgriculturalPlant DiseasesUltraviolet RaysGreenhouse cropsPlant diseasesSoilless cultivationUVC lightUVC machine

Identifiers

PMID40102602
PMCPMC11920207

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.