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Tytuł pozycji:

Design of Variable Spray System for Plant Protection UAV Based on CFD Simulation and Regression Analysis.

Tytuł :
Design of Variable Spray System for Plant Protection UAV Based on CFD Simulation and Regression Analysis.
Autorzy :
Ni, Ming
Wang, Hongjie
Liu, Xudong
Liao, Yilin
Fu, Lin
Wu, Qianqian
Mu, Jiong
Chen, Xiaoyan
Li, Jun
Pokaż więcej
Temat :
SPRAY nozzles
PLANT protection
STANDARD deviations
REGRESSION analysis
SPRAY droplet drift
COMPUTATIONAL fluid dynamics
INTELLIGENT buildings
Źródło :
Sensors (14248220); Jan2021, Vol. 21 Issue 2, p638, 1p
Czasopismo naukowe
Multi-rotor unmanned aerial vehicles (UAVs) for plant protection are widely used in China's agricultural production. However, spray droplets often drift and distribute nonuniformly, thereby harming its utilization and the environment. A variable spray system is designed, discussed, and verified to solve this problem. The distribution characteristics of droplet deposition under different spray states (flight state, environment state, nozzle state) are obtained through computational fluid dynamics simulation. In the verification experiment, the wind velocity error of most sample points is less than 1 m/s, and the deposition ratio error is less than 10%, indicating that the simulation is reliable. A simulation data set is used to train support vector regression and back propagation neural network with multiple parameters. An optimal regression model with the root mean square error of 6.5% is selected. The UAV offset and nozzle flow of the variable spray system can be obtained in accordance with the current spray state by multi-sensor fusion and the predicted deposition distribution characteristics. The farmland experiment shows that the deposition volume error between the prediction and experiment is within 30%, thereby proving the effectiveness of the system. This article provides a reference for the improvement of UAV intelligent spray system. [ABSTRACT FROM AUTHOR]
Copyright of Sensors (14248220) is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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