The effectiveness of agrochemical products strongly depends on the capability of the atomized droplets to reach the target site in the desired amount. Spray drift is the movement of droplets downwind of the target area, and its minimization is a growing concern to ensure operator health, protect the environment, achieve efficient crop protection and transform the spraying of phytosanitary products into a sustainable activity. In this contribution, a coupled atomization-spray drift model suitable for different types of nozzles is developed and validated against experimental data. Particularly, the article focuses on providing a simple simulation tool, based on a minimum number of input data that are easily accessable to predict the ground deposition spray drift of a nozzle. It was found that the atomized droplets size distribution can be accurately predicted just as a function of the median volumetric diameter, which was successfully estimated as a function of spray pressure, nozzle nominal flowrate and spray angle (commonly known data). Besides, the proposed model, based on bivariate probability density functions, is able to accurately represent different physical phenomena using a low number of calculations. Its implementation is possible using low-resource computing systems as required for sprayer on-board software tools.

农化产品的有效性很大程度上取决于雾化液滴以所需数量到达目标部位的能力。喷雾漂移是液滴在目标区域顺风的运动，其最小化是确保操作者健康、保护环境、实现有效作物保护和将植物检疫产品喷洒转变为可持续活动的日益关注的问题。在此贡献中，开发了适用于不同类型喷嘴的耦合雾化喷雾漂移模型，并针对实验数据进行了验证。特别是，本文着重于提供一种简单的模拟工具，该工具基于可轻松访问的最少输入数据，以预测喷嘴的地面沉积喷雾漂移。发现雾化液滴尺寸分布可以准确预测为中值体积直径的函数，该中值体积直径已成功估计为喷雾压力、喷嘴标称流量和喷雾角度（众所周知的数据）的函数。此外，所提出的模型基于双变量概率密度函数，能够使用少量计算准确地表示不同的物理现象。它可以使用喷雾机车载软件工具所需的低资源计算系统来实施。能够使用少量计算准确地表示不同的物理现象。它可以使用喷雾机车载软件工具所需的低资源计算系统来实施。能够使用少量计算准确地表示不同的物理现象。它可以使用喷雾机车载软件工具所需的低资源计算系统来实施。