利用统计学和机器学习技术解读农业喷洒的图像模式

Fluids Pub Date : 2024-02-01 DOI:10.3390/fluids9020040
Steven Cryer, John Raymond
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摘要

液体喷雾溶液通过喷嘴雾化是将许多杀虫剂输送到目标物的一种机制。最小的液滴尺寸(小于 150 μm)被称为可漂移细粒,具有风引起对流的倾向。许多农业应用包括水包油配方。从这些配方的喷雾图像中获得的实验指标包括:一旦形成液滴,从喷嘴原点到液滴中心点的距离;在液面上形成的孔的位置和表面积(所有孔的面积都近似为多边形);多边形段(其顶点表示为边界点)之间形成的角度;以及由相交孔洞形成的韧带尺寸,如韧带长宽比 (R/L)、韧带长度 (L) 和韧带半径(宽度),以及韧带分解成的液滴数量。这些指标被用于主成分回归(PCR)分析,结果表明,10 个主成分可解决响应变量(DT10)99% 的变化。碰撞孔形成的角度、孔与喷嘴的距离、液滴距离、孔数量、韧带数量和液滴数量与雾化可漂细分数呈负相关,而孔面积、韧带距离、韧带面积和边界面积呈正相关。因此,要降低/减少可漂移细粒,就需要增加负相关的指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interpreting Image Patterns for Agricultural Sprays Using Statistics and Machine Learning Techniques
The atomization of liquid spray solutions through nozzles is a mechanism for delivering many pesticides to the target. The smallest drop sizes (<150 μm) are known as driftable fines and have a propensity for wind-induced convection. Many agricultural applications include oil-in-water formulations. The experimental metrics obtained from spray images of these formulations include the distance from the nozzle origin to the drop centroid once a drop has formed; the hole location and surface area for holes that form in the liquid sheet (all hole areas approximated as polygons); the angles formed between polygon segments (whose vertices are represented as boundary points); and the ligament dimensions that form from intersecting holes, such as the ligament aspect ratio (R/L), ligament length (L), and ligament radius (width), along with the number of drops a ligament breaks up into. These metrics were used in a principal component regression (PCR) analysis, and the results illustrated that 99% of the variability in the response variable (DT10) was addressed by 10 principal components. Angles formed by the colliding holes, hole distance from the nozzle, drop distance, hole number, ligament number, and drop number were negatively correlated to the atomization driftable fine fraction, while hole area, ligament distance, ligament area, and boundary area were positively correlated. Thus, to decrease/minimize driftable fines, one needs to increase the negatively correlated metrics.
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