Author
Listed:
- Qiang Shi
(Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education of the People’s Republic of China, Jiangsu University, Zhenjiang 212013, China
High-Tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province, Zhenjiang 212013, China)
- Yulei Pan
(Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education of the People’s Republic of China, Jiangsu University, Zhenjiang 212013, China
High-Tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province, Zhenjiang 212013, China)
- Beibei He
(Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education of the People’s Republic of China, Jiangsu University, Zhenjiang 212013, China
High-Tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province, Zhenjiang 212013, China)
- Huaiqun Zhu
(Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education of the People’s Republic of China, Jiangsu University, Zhenjiang 212013, China
High-Tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province, Zhenjiang 212013, China)
- Da Liu
(Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education of the People’s Republic of China, Jiangsu University, Zhenjiang 212013, China
High-Tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province, Zhenjiang 212013, China)
- Baoguo Shen
(Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education of the People’s Republic of China, Jiangsu University, Zhenjiang 212013, China
High-Tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province, Zhenjiang 212013, China)
- Hanping Mao
(Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education of the People’s Republic of China, Jiangsu University, Zhenjiang 212013, China
High-Tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province, Zhenjiang 212013, China)
Abstract
The downwash airflow field of UAVs is insufficient under the dual influence of greenhouse structure and crop occlusion, and the distribution characteristics of the flight flow field of UAVs in greenhouses are unclear. In order to promote the application of UAVs in greenhouses, the flow field characteristics of UAVs in a greenhouse were studied herein. In a greenhouse containing tomato plants, a porous media model was used to simulate the obstacle effect of crops on the airflow. The multi-reference system model method was selected to solve the flow field of the UAV. Studies have shown that the airflow field generated by UAV flight in a greenhouse is mainly affected by the greenhouse structure. With the increase in UAV flight height, the ground effect of the downwash flow field weakened, and the flow field spread downward and around. The area affected by the flow field of the crops became larger, while the development of the crop convection field was less affected. The simulation was verified by experiments, and linear regression analysis was carried out between the experimental value and the simulation value. The experimental results were found to be in good agreement with the simulation results.
Suggested Citation
Qiang Shi & Yulei Pan & Beibei He & Huaiqun Zhu & Da Liu & Baoguo Shen & Hanping Mao, 2021.
"The Airflow Field Characteristics of UAV Flight in a Greenhouse,"
Agriculture, MDPI, vol. 11(7), pages 1-12, July.
Handle:
RePEc:gam:jagris:v:11:y:2021:i:7:p:634-:d:590182
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Cited by:
- Qilong Wang & Yilin Ren & Haojie Wang & Jiansong Wang & Guangsheng Zhou & Yang Yang & Zhiwei Xie & Xiaotian Bai, 2024.
"Research on UAV Downwash Airflow and Wind-Induced Response Characteristics of Rapeseed Seedling Stage Based on Computational Fluid Dynamics Simulation,"
Agriculture, MDPI, vol. 14(8), pages 1-20, August.
- Guanqun Wang & Xiang Dong & Weidong Jia & Mingxiong Ou & Pengpeng Yu & Minmin Wu & Zhi Zhang & Xinkang Hu & Yourui Huang & Fengxiang Lu, 2024.
"Influence of Wind Speed on the Motion Characteristics of Peach Leaves ( Prunus persica ),"
Agriculture, MDPI, vol. 14(12), pages 1-12, December.
- Le Long & Peng Fang & Jinlong Lin & Muhua Liu & Xiongfei Chen & Liping Xiao & Yonghui Li & Yihan Zhou, 2025.
"Field Schedule of UAV-Assisted Pollination for Hybrid Rice Based on CFD–DPM Coupled Simulation,"
Agriculture, MDPI, vol. 15(17), pages 1-19, August.
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