Effects of application height and crosswind on the crop spraying performance of unmanned helicopters
文献类型: 外文期刊
作者: Tang, Qing 1 ; Chen, Liping 1 ; Zhang, Ruirui 1 ; Deng, Wei 1 ; Xu, Min 1 ; Xu, Gang 1 ; Li, Longlong 1 ; Hewitt, Andrew 4 ;
作者机构: 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
2.Natl Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China
3.Natl Ctr Int Res Agr Aerial Applicat Technol, Beijing 100097, Peoples R China
4.Univ Queensland, Ctr Pesticide Applicat & Safety, Brisbane, Qld, Australia
关键词: Computational fluid dynamics; Crosswind; Lattice Boltzmann method; Droplet movement; Unmanned helicopter
期刊名称:COMPUTERS AND ELECTRONICS IN AGRICULTURE ( 影响因子:5.565; 五年影响因子:5.494 )
ISSN: 0168-1699
年卷期: 2021 年 181 卷
页码:
收录情况: SCI
摘要: Unmanned helicopters are increasingly used for crop protection in Asia. However, the moving mechanism of droplets from helicopters, which is strongly related to the complexity of the downwash flow, is still unclear. In this study, the lattice Boltzmann method was used to simulate the flow field and movement of the droplets released from the helicopter. The application height was set to 1.5, 2.5, and 3.5 m, while the crosswind speed was varied from -3 to 3 m/s. The vortex structures and downwash flow velocity field were found to be asymmetric, and the maximum downwash flow area was observed at the left side of the helicopter. The flow structure angle was inversely proportional to the application height and followed a second-order law with respect to the crosswind speed. The yaw angle was inversely proportional to the crosswind speed and was found to be more significantly affected by the crosswind speed at higher application heights. To study the effects of the droplet size on their movement in the downwash flow, droplets with diameters of 50, 100, 200, and 400 mu m were studied. The back view of the small droplets with diameter of 50 and 100 mu m has a double-peak pattern. Larger droplets, which were hardly moved up by the vortex, reached much nearer distances and floated at lower altitude. When the application height was 2.5 and 3.5 m, the droplets deposited nearly symmetrically at the cross wind with opposite direction. At an application height of 1.5 m, the droplets, especially the large ones (200 and 400 mu m), deposited asymmetrically at the cross wind with opposite direction. The cross wind blew from the left side due to a stream vortex near the ground on the right side of the helicopter, which carried the big droplets and move them back into the air. When the cross wind blew from the right side, large droplets (200 and 400 mu m) deposited faster and concentrated near the swath, while small droplets (50 and 100 mu m) were moved by the crosswind blowing from the right side with strong non-uniform spatial distribution and floated on the far left side. This finding could help to greatly reduce the spray drift. The droplet deposition rate is more likely to be affected by the quadratic term of the droplet diameter, while the coefficient of variation of deposition is affected by the quadratic terms of the droplet diameter and cross wind speed. The results of this study will be useful to analyze and optimize the downwash flow development and droplet movement/deposition of water from plant-protection unmanned aerial vehicles.
- 相关文献
作者其他论文 更多>>
-
Data-driven Bayesian Gaussian mixture optimized anchor box model for accurate and efficient detection of green citrus
作者:Zhang, Yunfeng;Li, Li;Wen, Yifeng;Zhang, Yunfeng;Li, Li;Chun, Changpin;Li, Congbo;Xu, Gang
关键词:Green citrus; Efficient detection; Bayesian Gaussian Mixture Model; Lightweight; Harvesting Equipment
-
Optimized Design of Robotic Arm for Tomato Branch Pruning in Greenhouses
作者:Ma, Yuhang;Chen, Liping;Feng, Qingchun;Sun, Yuhuan;Guo, Xin;Zhang, Wanhao;Wang, Bowen;Chen, Liping;Feng, Qingchun;Guo, Xin;Chen, Liping
关键词:agricultural robot; tomato pruning; manipulator; structural optimization
-
Research on Individual Tree Canopy Segmentation of Camellia oleifera Based on a UAV-LiDAR System
作者:Wang, Liwan;Zhang, Linhuan;Zhang, Ruirui;Zhang, Linhuan;Yi, Tongchuan;Zhang, Danzhu;Zhu, Aobin
关键词:Camellia oleifera; UAV; point cloud data; Canopy Height Models; parameter optimization
-
Navigation line extraction algorithm for corn spraying robot based on YOLOv8s-CornNet
作者:Guo, Peiliang;Diao, Zhihua;Ma, Shushuai;He, Zhendong;Zhao, Suna;Zhao, Chunjiang;Li, Jiangbo;Zhang, Ruirui;Yang, Ranbing;Zhang, Baohua
关键词:agricultural robotics; computer vision; deep learning; navigation line extraction; network lightweight
-
Multi-scale feature adaptive fusion model for real-time detection in complex citrus orchard environments
作者:Zhang, Yunfeng;Li, Li;Wen, Yifeng;Chun, Changpin;Li, Li;Xu, Gang
关键词:Lightweight; Multi -scale feature adaptive fusion module; Real-time detection; Complex environments; Citrus harvesting equipment
-
Determination of lead content in oilseed rape leaves in silicon-free and silicon environments based on deep transfer learning and fluorescence hyperspectral imaging
作者:Zhou, Xin;Zhao, Chunjiang;Sun, Jun;Cheng, Jiehong;Xu, Min;Zhao, Chunjiang;Zhao, Chunjiang
关键词:Stacked convolution auto-encoder; Deep transfer learning; Silicon environment; Lead; Nondestructive testing
-
Review of the detasseling techniques for maize ( Zea mays L.) hybrid seed production
作者:Zhang, Ruirui;Yang, Jiaxuan;Chen, Liping;Ding, Chenchen;Li, Longlong;Zhang, Linhuan;Zhang, Ruirui;Yang, Jiaxuan;Chen, Liping;Ding, Chenchen;Li, Longlong;Zhang, Linhuan;Zhang, Ruirui;Yang, Jiaxuan;Chen, Liping;Ding, Chenchen;Li, Longlong;Zhang, Linhuan
关键词:detasseling technique; detasseling machine; UAVs; intelligent agriculture; maize hybrid seed production



