Evidence map›Paper›PMID 41748658›Full record

ArticleScientific reports2026

Plant spraying quality when used by drone-robots.

Bogusława Berner, Jerzy Chojnacki, Leon Kukiełka, Jan Najser, Jan Kielar, Tomáš Najser, Leszek Sergiel

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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. 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

7 authors.

Bogusława BernerPomeranian Agricultural Advisory Centre (PAAC - PODR), Lubań, Poland.ORCID http://orcid.org/0000-0003-2103-0535
Jerzy ChojnackiENET Centre, CEET, VSB-Technical University of Ostrava, Ostrava, Czech Republic. chojnackijf@gmail.com.ORCID http://orcid.org/0000-0002-5452-2221
Leon KukiełkaFaculty of Mechanical Engineering and Energetics, Koszalin University of Technology, Koszalin, Poland.ORCID http://orcid.org/0000-0002-0077-5733
Jan NajserENET Centre, CEET, VSB-Technical University of Ostrava, Ostrava, Czech Republic.ORCID http://orcid.org/0000-0002-0614-9645
Jan KielarENET Centre, CEET, VSB-Technical University of Ostrava, Ostrava, Czech Republic.ORCID http://orcid.org/0000-0003-3770-9200
Tomáš NajserENET Centre, CEET, VSB-Technical University of Ostrava, Ostrava, Czech Republic.ORCID http://orcid.org/0000-0001-9706-1229
Leszek SergielInstitute of Technology and Life Sciences - National Research Institute (ITP - PIB), Falenty, Poland.ORCID http://orcid.org/0000-0002-3061-1190

Funding

Programme Johannes Amos Comenius CZ.02.01.01/00/23_021/0008590
6 · The paper itself

Abstract

The study aimed to evaluate how airflow from a small drone’s rotor affects the accuracy and consistency of liquid coverage on individual plants or small plant groups during low-altitude spraying. The research focused on the future possibility of using drones - unmanned aerial vehicles (UAVs) as autonomous robots for plant protection. The effects of UAV propellers’ rotation on changes in droplet stream, produced from a single spray flat fan nozzle, as well as the influence of altitude, flight speed, and leaf area index (LAI), on the liquid coverage uniformity (CU) of application on plants were examined. The rotational speeds of the UAV propellers were set at 0.0, 5000, and 6400 rpm. Rapeseed and potato plants were selected for testing because they are common food crops and sources of raw materials for biofuel production. The UAV, on a laboratory test stand, was moved at two heights (H = 0.5 and 1.0 m) at two speeds (v = 0.54 and 1.0 m·s-1). The airflow from the UAV’s rotors narrowed the droplet stream produced by the nozzle by about 20% and increased the liquid volume in the center of the droplet stream, especially at a UAV height of H = 1.0 m. The leaf area index (LAI) for rapeseed was 0.877, and for potatoes it was 6.273. These LAI differences resulted in the liquid sprayed from the UAV settling more evenly on rapeseed plants than on potato plants. UAV flight altitude and leaf area index (LAI) appeared to be key factors affecting the amount of liquid applied to plants. Lower altitudes (H = 0.5 m) improved liquid application uniformity and enabled deeper penetration into dense foliage. High LAI values significantly hampered liquid penetration into lower plant levels and reduced the uniformity of liquid application.

Indexed as

Air flowEnvironmental protectionFood and energy cropsLeaf area index (LAI)Spray depositionUAVs

Identifiers

PMID41748658
PMCPMC13046800

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Registered trials

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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.