Evidence map›Paper›PMID 42040282›Full record

ArticleFrontiers in plant science2026

Influence of flight pattern on the effectiveness of unmanned aerial vehicles application in a mountain Nanguo pear orchard.

Shuang Guo, Jianghui Luo, Hao Yan, Weixiang Yao, Yanhua Meng

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Shuang GuoSchool of Intelligent Science and Information Engineering, Shenyang University, Shenyang, China.
Jianghui LuoCollege of Information and Electrical Engineering, Shenyang Agricultural University, National Digital Agriculture Regional Innovation Center (Northeast), Shenyang, China.
Hao YanCollege of Information and Electrical Engineering, Shenyang Agricultural University, National Digital Agriculture Regional Innovation Center (Northeast), Shenyang, China.
Weixiang YaoCollege of Information and Electrical Engineering, Shenyang Agricultural University, National Digital Agriculture Regional Innovation Center (Northeast), Shenyang, China.
Yanhua MengChina Agricultural Technology Extension Association, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The application of unmanned aerial vehicles (UAVs) in orchards has been gradually emerging. Due to the complex architecture of tree canopies and the planting environment, choosing a reasonable UAV flight pattern to effectively enhance droplet deposition on critical target areas remains a challenge. Methods: This study employed Nanguo pear trees as the application target, with an electric multi-rotor UAV, the EA-30X, chosen as the spraying platform. Through comprehensive droplet assessment methodologies, five different flight patterns (intra-row, intra-row-high-speed, intra-row-half-rate, inter-row, verti-row) were analyzed and compared to assess droplet deposition in the tree canopy. Results: Measurements revealed that 71.85% of the droplet coverage is in the 0-5% range and the droplet density is in the 0-200 drops·cm Discussion: The results indicate that, under the conditions of constant spray volume rate (60 L/ha) and flight height (2.5 m), particularly when natural wind speeds are excessive, using a UAV for two-pass spraying patterns (intra-row-high-speed, intra-row-half-rate) is not recommended. Intra-row, inter-row and verti-row are viable options, but the selection should be made flexibly based on operational requirements. Different flight patterns lead to changes in the droplet deposition distribution trends across vertical layers and between inner and outer zones. This study provides scientific and precise operational guidance and reference for pest and disease control in Nanguo pear orchards.

Indexed as

droplet depositionflight patternmountain orchardNanguo pearsprayUAV

Identifiers

PMID42040282
PMCPMC13106277

What OpenQuestion holds

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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.