Visualization of Lidar-Based 3D Droplet Distribution Detection for Air-Assisted Spraying

Air-assisted spraying is a commonly used spraying method for orchard plant protection operations. However, its spraying parameters have complex effects on droplet distribution. The lack of large-scale 3D droplet density distribution measurement methods of equipment has limited the optimization of sp...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:AgriEngineering Jg. 5; H. 3; S. 1136 - 1146
Hauptverfasser: Wang, Zhichong, Zhang, Yang, Li, Tian, Müller, Joachim, He, Xiongkui
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.09.2023
Schlagworte:
air
air-assisted spraying
data collection
Data processing
Density distribution
droplet distribution
Droplets
Lasers
LiDAR
Measurement methods
Measurement techniques
Noise reduction
Optimization
orchards
Parameters
Pesticides
Plant protection
Signal processing
Spraying
Travel
Velocity
Visualization
United States > US
China
Germany
ISSN:2624-7402, 2624-7402
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Air-assisted spraying is a commonly used spraying method for orchard plant protection operations. However, its spraying parameters have complex effects on droplet distribution. The lack of large-scale 3D droplet density distribution measurement methods of equipment has limited the optimization of spraying parameters. Therefore, there is a need to develop a method that can quickly obtain 3D droplet distribution. In this study, a 2D LiDAR was used to quickly scan moving droplets in the air, and a test method that can obtain the visualization of 3D droplet distribution was constructed by using the traveling mode of the machine perpendicular to the scanning plane. The 3D droplet distribution at different positions of the nozzle installed in the air-assisted system was tested at different fan rotation speeds, and the methods for signal processing, point cloud noise reduction, and point cloud division for 2D LiDAR were developed. The results showed that the LiDAR-based method for detecting 3D droplet distribution is feasible, fast, and environmentally friendly.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:2624-7402
2624-7402
DOI:10.3390/agriengineering5030072