Evidence map›Paper›PMID 40807892›Full record

ReviewSensors (Basel, Switzerland)2025

A Review of Multiscale Interaction Mechanisms of Wind-Leaf-Droplet Systems in Orchard Spraying.

Yunfei Wang, Zhenlei Zhang, Ruohan Shi, Shiqun Dai, Weidong Jia, Mingxiong Ou, Xiang Dong, Mingde Yan

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 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

8 authors.

Yunfei WangSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0009-0009-3767-4838
Zhenlei ZhangSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Ruohan ShiSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Shiqun DaiSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0009-0006-4416-4252
Weidong JiaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Mingxiong OuSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Xiang DongSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Mingde YanScience Innovation Center, Chinese Academy of Agriculture Mechanization Sciences Group Co., Ltd., Beijing 100083, China.

Funding

the National Key R&D Program of China, titled "Zonal Adaptive Targeted Variable-Rate Spraying Technology and Narrow-Band Plant Protection Equipment Development." grant number:2023YFD2000503-2the Priority Academic Program Development of Jiangsu Higher Education Institutions grantnumber:PAPD-2023-87
6 · The paper itself

Abstract

The multiscale interactive system composed of wind, leaves, and droplets serves as a critical dynamic unit in precision orchard spraying. Its coupling mechanisms fundamentally influence pesticide transport pathways, deposition patterns, and drift behavior within crop canopies, forming the foundational basis for achieving intelligent and site-specific spraying operations. This review systematically examines the synergistic dynamics across three hierarchical scales: Droplet-leaf surface wetting and adhesion at the microscale; leaf cluster motion responses at the mesoscale; and the modulation of airflow and spray plume diffusion by canopy architecture at the macroscale. Key variables affecting spray performance-such as wind speed and turbulence structure, leaf biomechanical properties, droplet size and electrostatic characteristics, and spatial canopy heterogeneity-are identified and analyzed. Furthermore, current advances in multiscale modeling approaches and their corresponding experimental validation techniques are critically evaluated, along with their practical boundaries of applicability. Results indicate that while substantial progress has been made at individual scales, significant bottlenecks remain in the integration of cross-scale models, real-time acquisition of critical parameters, and the establishment of high-fidelity experimental platforms. Future research should prioritize the development of unified coupling frameworks, the integration of physics-based and data-driven modeling strategies, and the deployment of multimodal sensing technologies for real-time intelligent spray decision-making. These efforts are expected to provide both theoretical foundations and technological support for advancing precision and intelligent orchard spraying systems.

Indexed as

data-driven modelingkey spray variablesorchard sprayingwind–leaf–droplet interaction

Identifiers

PMID40807892
PMCPMC12349204

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.