Visualization of Aerial Droplet Distribution for Unmanned Aerial Spray Systems Based on Laser Imaging
Unmanned aerial spray systems (UASSs) are a commonly used spraying method for plant protection operations. However, their spraying parameters have complex effects on droplet distribution. The large-scale 3D droplet density distribution measurement method is insufficient, especially since the downwas...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/8/11/613 |
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| author | Zhichong Wang Peng Qi Yangfan Li Xiongkui He |
| author_facet | Zhichong Wang Peng Qi Yangfan Li Xiongkui He |
| author_sort | Zhichong Wang |
| collection | DOAJ |
| description | Unmanned aerial spray systems (UASSs) are a commonly used spraying method for plant protection operations. However, their spraying parameters have complex effects on droplet distribution. The large-scale 3D droplet density distribution measurement method is insufficient, especially since the downwash wind is easily affected by the environment. Therefore, there is a need to develop a technique that can quickly visualize 3D droplet distribution. In this study, a laser imaging method was proposed to quickly scan moving droplets in the air, and a test method that can visualize 3D droplet distribution was constructed by using the traveling mode of the machine perpendicular to the scanning plane. The 3D droplet distribution of targeted and conventional UAVs was tested, and the methods for signal processing, noise reduction, and point cloud rebuilding for laser imaging were developed. Compared with the simulation results, laser imaging showed the pattern of droplet distribution from the two UAV structures well. The results showed that the laser imaging based method for detecting 3D droplet distribution is feasible, fast, and environmentally friendly. |
| format | Article |
| id | doaj-art-1c84bb28ca224aa09de79986d085292f |
| institution | OA Journals |
| issn | 2504-446X |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj-art-1c84bb28ca224aa09de79986d085292f2025-08-20T02:28:05ZengMDPI AGDrones2504-446X2024-10-0181161310.3390/drones8110613Visualization of Aerial Droplet Distribution for Unmanned Aerial Spray Systems Based on Laser ImagingZhichong Wang0Peng Qi1Yangfan Li2Xiongkui He3College of Agricultural Unmanned System, China Agricultural University, Beijing 100193, ChinaCollege of Agricultural Unmanned System, China Agricultural University, Beijing 100193, ChinaCollege of Agricultural Unmanned System, China Agricultural University, Beijing 100193, ChinaCollege of Agricultural Unmanned System, China Agricultural University, Beijing 100193, ChinaUnmanned aerial spray systems (UASSs) are a commonly used spraying method for plant protection operations. However, their spraying parameters have complex effects on droplet distribution. The large-scale 3D droplet density distribution measurement method is insufficient, especially since the downwash wind is easily affected by the environment. Therefore, there is a need to develop a technique that can quickly visualize 3D droplet distribution. In this study, a laser imaging method was proposed to quickly scan moving droplets in the air, and a test method that can visualize 3D droplet distribution was constructed by using the traveling mode of the machine perpendicular to the scanning plane. The 3D droplet distribution of targeted and conventional UAVs was tested, and the methods for signal processing, noise reduction, and point cloud rebuilding for laser imaging were developed. Compared with the simulation results, laser imaging showed the pattern of droplet distribution from the two UAV structures well. The results showed that the laser imaging based method for detecting 3D droplet distribution is feasible, fast, and environmentally friendly.https://www.mdpi.com/2504-446X/8/11/613laser imagingdroplet distributionpoint cloudUASS |
| spellingShingle | Zhichong Wang Peng Qi Yangfan Li Xiongkui He Visualization of Aerial Droplet Distribution for Unmanned Aerial Spray Systems Based on Laser Imaging Drones laser imaging droplet distribution point cloud UASS |
| title | Visualization of Aerial Droplet Distribution for Unmanned Aerial Spray Systems Based on Laser Imaging |
| title_full | Visualization of Aerial Droplet Distribution for Unmanned Aerial Spray Systems Based on Laser Imaging |
| title_fullStr | Visualization of Aerial Droplet Distribution for Unmanned Aerial Spray Systems Based on Laser Imaging |
| title_full_unstemmed | Visualization of Aerial Droplet Distribution for Unmanned Aerial Spray Systems Based on Laser Imaging |
| title_short | Visualization of Aerial Droplet Distribution for Unmanned Aerial Spray Systems Based on Laser Imaging |
| title_sort | visualization of aerial droplet distribution for unmanned aerial spray systems based on laser imaging |
| topic | laser imaging droplet distribution point cloud UASS |
| url | https://www.mdpi.com/2504-446X/8/11/613 |
| work_keys_str_mv | AT zhichongwang visualizationofaerialdropletdistributionforunmannedaerialspraysystemsbasedonlaserimaging AT pengqi visualizationofaerialdropletdistributionforunmannedaerialspraysystemsbasedonlaserimaging AT yangfanli visualizationofaerialdropletdistributionforunmannedaerialspraysystemsbasedonlaserimaging AT xiongkuihe visualizationofaerialdropletdistributionforunmannedaerialspraysystemsbasedonlaserimaging |