### Spray droplet characterization from a single nozzle by high speed image analysis using an in-focus droplet criterion

(2016) 16(2).
abstract
Accurate spray characterization helps to better understand the pesticide spray application process. The goal of this research was to present the proof of principle of a droplet size and velocity measuring technique for different types of hydraulic spray nozzles using a high speed backlight image acquisition and analysis system. As only part of the drops of an agricultural spray can be in focus at any given moment, an in-focus criterion based on the gray level gradient was proposed to decide whether a given droplet is in focus or not. In a first experiment, differently sized droplets were generated with a piezoelectric generator and studied to establish the relationship between size and in-focus characteristics. In a second experiment, it was demonstrated that droplet sizes and velocities from a real sprayer could be measured reliably in a non-intrusive way using the newly developed image acquisition set-up and image processing. Measured droplet sizes ranged from 24 μm to 543 μm, depending on the nozzle type and size. Droplet velocities ranged from around 0.5 m/s to 12 m/s. The droplet size and velocity results were compared and related well with the results obtained with a Phase Doppler Particle Analyzer (PDPA).
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
piezoelectric droplet generator, in-focus criterion, high speed image analysis, spray characterization, SIZE, PARTICLES, ALGORITHM, ADJUVANTS, SYSTEM, DRIFT, JET
journal title
SENSORS
Sensors
volume
16
issue
2
article number
218
pages
19 pages
Web of Science type
Article
Web of Science id
000371787800113
JCR category
INSTRUMENTS & INSTRUMENTATION
JCR impact factor
2.677 (2016)
JCR rank
10/58 (2016)
JCR quartile
1 (2016)
ISSN
1424-8220
DOI
10.3390/s16020218
language
English
UGent publication?
yes
classification
A1
id
7075386
handle
http://hdl.handle.net/1854/LU-7075386
date created
2016-02-08 08:55:37
date last changed
2017-07-31 10:15:35
@article{7075386,
abstract     = {Accurate spray characterization helps to better understand the pesticide spray application process. The goal of this research was to present the proof of principle of a droplet size and velocity measuring technique for different types of hydraulic spray nozzles using a high speed backlight image acquisition and analysis system. As only part of the drops of an agricultural spray can be in focus at any given moment, an in-focus criterion based on the gray level gradient was proposed to decide whether a given droplet is in focus or not. In a first experiment, differently sized droplets were generated with a piezoelectric generator and studied to establish the relationship between size and in-focus characteristics. In a second experiment, it was demonstrated that droplet sizes and velocities from a real sprayer could be measured reliably in a non-intrusive way using the newly developed image acquisition set-up and image processing. Measured droplet sizes ranged from 24 \ensuremath{\mu}m to 543 \ensuremath{\mu}m, depending on the nozzle type and size. Droplet velocities ranged from around 0.5 m/s to 12 m/s. The droplet size and velocity results were compared and related well with the results obtained with a Phase Doppler Particle Analyzer (PDPA).},
articleno    = {218},
author       = {Vulgarakis Minov, Sofija and Cointault, Fr{\'e}d{\'e}ric and Vangeyte, J{\"u}rgen and Pieters, Jan and Nuyttens, David},
issn         = {1424-8220},
journal      = {SENSORS},
keyword      = {piezoelectric droplet generator,in-focus criterion,high speed image analysis,spray characterization,SIZE,PARTICLES,ALGORITHM,ADJUVANTS,SYSTEM,DRIFT,JET},
language     = {eng},
number       = {2},
pages        = {19},
title        = {Spray droplet characterization from a single nozzle by high speed image analysis using an in-focus droplet criterion},
url          = {http://dx.doi.org/10.3390/s16020218},
volume       = {16},
year         = {2016},
}


Chicago
Vulgarakis Minov, Sofija, Frédéric Cointault, Jürgen Vangeyte, Jan Pieters, and David Nuyttens. 2016. “Spray Droplet Characterization from a Single Nozzle by High Speed Image Analysis Using an In-focus Droplet Criterion.” Sensors 16 (2).
APA
Vulgarakis Minov, Sofija, Cointault, F., Vangeyte, J., Pieters, J., & Nuyttens, D. (2016). Spray droplet characterization from a single nozzle by high speed image analysis using an in-focus droplet criterion. SENSORS, 16(2).
Vancouver
1.
Vulgarakis Minov S, Cointault F, Vangeyte J, Pieters J, Nuyttens D. Spray droplet characterization from a single nozzle by high speed image analysis using an in-focus droplet criterion. SENSORS. 2016;16(2).
MLA
Vulgarakis Minov, Sofija, Frédéric Cointault, Jürgen Vangeyte, et al. “Spray Droplet Characterization from a Single Nozzle by High Speed Image Analysis Using an In-focus Droplet Criterion.” SENSORS 16.2 (2016): n. pag. Print.