Modeling of Droplet Deposition in Air-Assisted Spraying

文献类型： 外文期刊

第一作者： Song, Jian

作者： Song, Jian;Xiao, Ke;Song, Jian;Wang, Zhichong;Zhai, Changyuan;Gu, Chenchen;Zheng, Kang;Li, Xuecheng;Jiang, Ronghua;Xiao, Ke

作者机构：

关键词： air-assisted spraying; deposition distribution; orthogonal trials; response surface modeling

期刊名称：AGRONOMY-BASEL （ 影响因子：3.4； 五年影响因子：3.8 ）

ISSN：

年卷期： 2025 年 15 卷 7 期

页码：

收录情况： SCI

摘要： Air-assisted spraying is the primary method of plant protection in orchards, and precision spraying according to the canopy characteristics of fruit trees can reduce waste and pollution due to pesticide drift. To facilitate targeted pesticide application in the canopy of fruit trees, this study employed a newly developed wind-speed-adjustable orchard sprayer and established a prediction model for deposition based on data from orthogonal trials using a central composite design accounting for the coupling effect of three-dimensional spatial parameters. The experimental design systematically quantified the interaction effects of spray distance (1.5-2.5 m), fan wind speed (10-20 m/s), and deposition height (0.5-3 m) on the spatial distribution of droplets. Model significance was p < 0.0001 and the misfit term was significant (p = 0.2193), supporting its validity. The research found that wind speed and distance significantly interact in influencing deposition. By adjusting fan speed and spray distance, variable applications can be achieved in different canopy zones during plant protection operations. The response surface model developed in this study can be applied to variable-rate spraying control systems, thus providing a quantitative basis for dynamic droplet control guided by canopy characteristics. Validation tests revealed that the model's accuracy was lower in high canopy regions and upwind spraying scenarios, indicating areas for further research.

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