Maertens W, Nuyttens D, Sonck B
Ministry of the Flemish Community, Agricultural Research Centre Department of Mechanisation, Labour, Buildings, Animal Welfare and Environmental Protection (CLO-DVL) Burg. Van Gansberghelaan 115, BE-9820 Merelbeke, Belgium.
Commun Agric Appl Biol Sci. 2005;70(4):989-95.
Most studies on uniformity of pesticide applications beneath agricultural spraying booms are based on the characteristics of nozzle spray patterns. When optimising general features (boom height, pressure, ...), average nozzle characteristics are used. In this research, individual nozzle characteristics are essential. When utilising slightly used nozzles, small irregularities in the nozzle spray distribution may be averaged out or amplified in the resulting full-boom distribution. A method is proposed to find whether the coefficient of variation (cv) of a field sprayer spray distribution could be optimised by altering the sequence and orientation of a given set of flat fan nozzles. A manageable model is used in order to quickly compute possible full-boom distributions (and cv's) with a given set of single nozzle spray distributions. The individual nozzle spray distributions are extracted from a limited series of full-boom spray distribution measurements (three in most cases) with randomised nozzle sequence and orientation by means of a Matlab optimisation algorithm.
大多数关于农业喷雾机喷杆下方农药施用均匀性的研究都是基于喷嘴喷雾模式的特征。在优化一般特征（喷杆高度、压力等）时，使用的是平均喷嘴特征。在本研究中，单个喷嘴特征至关重要。当使用使用频率较低的喷嘴时，喷嘴喷雾分布中的小不规则性可能会在最终的全喷杆分布中被平均化或放大。本文提出了一种方法，以确定是否可以通过改变给定的一组扁平扇形喷嘴的顺序和方向来优化田间喷雾机喷雾分布的变异系数（cv）。使用一个可管理的模型，以便用给定的一组单个喷嘴喷雾分布快速计算可能的全喷杆分布（和cv值）。通过Matlab优化算法，从有限的一系列全喷杆喷雾分布测量（大多数情况下为三次）中提取单个喷嘴喷雾分布，这些测量具有随机化的喷嘴顺序和方向。
