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

(2016) SENSORS. 16(2).
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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).
Keywords
piezoelectric droplet generator, in-focus criterion, high speed image analysis, spray characterization, SIZE, PARTICLES, ALGORITHM, ADJUVANTS, SYSTEM, DRIFT, JET

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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.
@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},
}

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