Roten et al., 2016 - Google Patents
Volumetric validation of mass balance using a computational phase Doppler approach for disc core nozzlesRoten et al., 2016
View PDF- Document ID
- 8004393525872341174
- Author
- Roten R
- Post S
- Werner A
- Hewitt A
- Safa M
- Publication year
- Publication venue
- Crop Protection
External Links
Snippet
The mass balance of orchard air-blast sprayers has historically been assessed using an array of samplers to capture airborne particles. However, these methods only provide an idea of flux with no other information which is pertinent to understand the movement of …
- 238000010200 validation analysis 0 title description 6
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1456—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
- G01N15/1459—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N15/0205—Investigating particle size or size distribution by optical means, e.g. by light scattering, diffraction, holography or imaging
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Nuyttens et al. | Effect of nozzle type, size and pressure on spray droplet characteristics | |
Nuyttens et al. | Drift from field crop sprayers using an integrated approach: results of a five-year study | |
De Cock et al. | Measurements of reference ISO nozzles by high-speed imaging | |
Zhou et al. | Spray characterization measurements of a pendent fire sprinkler | |
Nuyttens et al. | Influence of nozzle type and size on drift potential by means of different wind tunnel evaluation methods | |
Balsari et al. | Field-crop-sprayer potential drift measured using test bench: Effects of boom height and nozzle type | |
Dorr et al. | A comparison of initial spray characteristics produced by agricultural nozzles | |
Nuyttens et al. | Droplet size and velocity characteristics of agricultural sprays | |
Fritz et al. | Measuring droplet size of agricultural spray nozzles− measurement distance and airspeed effects | |
AU2016229870A1 (en) | Spray characterization by optical image analysis | |
Roten et al. | Volumetric validation of mass balance using a computational phase Doppler approach for disc core nozzles | |
Chen et al. | Analysis of droplet size uniformity and selection of spray parameters based on the biological optimum particle size theory | |
Duga et al. | Numerical analysis of the effects of wind and sprayer type on spray distribution in different orchard training systems | |
Minov et al. | Droplet generation and characterization using a piezoelectric droplet generator and high speed imaging techniques | |
Czaczyk | Influence of air flow dynamics on droplet size in conditions of air-assisted sprayers | |
Privitera et al. | Drop size measurement techniques for agricultural sprays: A state-of-the-art review | |
Richardson et al. | Spray application efficiency from a multi-rotor unmanned aerial vehicle configured for aerial pesticide application | |
Nuyttens et al. | PDPA laser-based characterization of agricultural Spray nozzles | |
Yongjun et al. | A novel detection method of spray droplet distribution based on LIDARs | |
Hoffmann et al. | Effects of air speed and liquid temperature on droplet size | |
Pascuzzi et al. | A brief review of nozzle spray drop size measurement techniques | |
Li et al. | Spray drift evaluation with point clouds data of 3D LiDAR as a potential alternative to the sampling method | |
Miller | Spray drift | |
Zhou et al. | Spray measurements of an upright fire sprinkler | |
Grover et al. | Airborne off-target losses and deposition characteristics from a self-propelled, high speed and high clearance ground sprayer |