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...
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| Published in: | AgriEngineering Vol. 5; no. 3; pp. 1136 - 1146 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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MDPI AG
01.09.2023
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| ISSN: | 2624-7402, 2624-7402 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Wang, Zhichong Zhang, Yang Müller, Joachim Li, Tian He, Xiongkui |
| Author_xml | – sequence: 1 givenname: Zhichong orcidid: 0000-0002-9720-5496 surname: Wang fullname: Wang, Zhichong – sequence: 2 givenname: Yang surname: Zhang fullname: Zhang, Yang – sequence: 3 givenname: Tian surname: Li fullname: Li, Tian – sequence: 4 givenname: Joachim orcidid: 0000-0003-4623-5879 surname: Müller fullname: Müller, Joachim – sequence: 5 givenname: Xiongkui orcidid: 0000-0003-0652-8933 surname: He fullname: He, Xiongkui |
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| Copyright | 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| SubjectTerms | 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 |
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| Title | Visualization of Lidar-Based 3D Droplet Distribution Detection for Air-Assisted Spraying |
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