journal article·2021-10-06Open access

Modelling Spray Pressure Effects on Droplet Size Distribution from Agricultural Nozzles

Emanuele Cerruto, Giuseppe Manetto, Rita Papa, Domenico Longo

Applied Sciences· Volume 11· Issue 19

Abstract

For spray applications, drop size is the most important feature as it affects all aspects of a phytosanitary treatment: biological efficacy, environmental pollution, and operator safety. In turn, drop size distribution depends on nozzle type, liquid properties, and working pressure. In this research, three nozzles were studied under ordinary working conditions and the effect of pressure on drop size distribution was assessed. The nozzles under test, all from Albuz (France), were an orange hollow cone nozzle ATR 80 (European color code), an air induction flat spray nozzle AVI 11003, and an air induction hollow cone nozzle TVI 8002. The ATR 80 and the TVI 8002 nozzles were tested at four pressure values: 0.3, 0.5, 1.0, and 1.5 MPa; the AVI 11003 nozzle was tested at 0.3 and 0.5 MPa. The drop size measurement technique was based on the liquid immersion method by using a custom-made test bench; spray quality parameters were computed by means of suitable functions written in R language. Results showed that an increase in working pressure caused an increase in drop pulverization regardless of the type of nozzle, and drop pulverization was higher for the turbulence nozzle than for the two air induction nozzles. Based on skewness and kurtosis values, the theoretical gamma distribution was the most adapt to fit the experimental data. The scale parameter showed a decreasing trend with the increase in the pressure, a clear index of higher drop pulverization.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Plant Surface Properties and Treatments · Electrohydrodynamics and Fluid Dynamics · Fluid Dynamics and Heat Transfer

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Agriculture, Food and Environment (Di3A), Section of Mechanics and Mechanization, University of Catania, via Santa Sofia, 100, 95123 Catania, Italy

Funding

University of Catania

References (58)

Show source-provided references
1. How was the pesticide applied?10.1016/j.cropro.2003.12.001 ↗
2. Investigation on optimal spray properties for ground based agricultural applications using deposition and retention models10.1016/j.biosystemseng.2017.08.001 ↗
3. Chen, S., Lan, Y., Zhou, Z., Ouyang, F., Wang, G., Huang, X., Deng, X., and Cheng, S. (2020). Effect of droplet size parameters on droplet deposition and drift of aerial spraying by using plant protection UAV. Agronomy, 10.10.3390/agronomy10020195 ↗
4. Potential dermal pesticide exposure affected by greenhouse spray application technique10.1002/ps.1755 ↗
5. Potential dermal and inhalation exposure to imidacloprid and risk assessment among applicators during treatment in cotton field in China10.1016/j.scitotenv.2017.12.238 ↗
6. Cerruto, E., Manetto, G., Santoro, F., and Pascuzzi, S. (2018). Operator dermal exposure to pesticides in tomato and strawberry greenhouses from hand-held sprayers. Sustainability, 10.10.3390/su10072273 ↗
7. Assessing the deposition and canopy penetration of nozzles with different spray qualities in an oat (Avena sativa L.) canopy10.1016/j.cropro.2015.11.013 ↗
8. The impact and retention of spray droplets on a horizontal hydrophobic surface10.1016/j.biosystemseng.2014.07.013 ↗
9. Influence of spray characteristics on potential spray drift of field crop sprayers: A literature review10.1016/j.cropro.2014.05.006 ↗
10. Comparison between standard and drift reducing nozzles for pesticide application in citrus: Part, I. Effects on wind tunnel and field spray drift10.1016/j.cropro.2017.02.001 ↗
11. Comparison between standard and drift reducing nozzles for pesticide application in citrus: Part II. Effects on canopy spray distribution, control efficacy of Aonidiella aurantii (Maskell), beneficial parasitoids and pesticide residues on fruit10.1016/j.cropro.2016.12.016 ↗
12. Effect of spray drift reduction techniques on pests and predatory mites in orchards and vineyards10.1016/j.cropro.2017.04.010 ↗
13. Field evaluation of a calibration method for air-assisted sprayers involving the use of a vertical patternator10.1016/j.cropro.2003.09.015 ↗
14. Foliar spray deposition in a “tendone” vineyard as affected by airflow rate, volume rate and vegetative development10.1016/j.cropro.2016.09.009 ↗
15. Study of the correlation between foliar and patternator deposits in a “tendone” vineyard
16. Monitoring spray drift in aerial spray application based on infrared thermal imaging technology10.1016/j.compag.2015.12.006 ↗
17. Grella, M., Gallart, M., Marucco, P., Balsari, P., and Gil, E. (2017). Ground deposition and airborne spray drift assessment in vineyard and orchard: The influence of environmental variables and sprayer settings. Sustainability, 9.10.3390/su9050728 ↗
18. Field-crop-sprayer potential drift measured using test bench: Effects of boom height and nozzle type10.1016/j.biosystemseng.2016.10.015 ↗
19. Toward a new method to classify the airblast sprayers according to their potential drift reduction: Comparison of direct and new indirect measurement methods10.1002/ps.5354 ↗
20. Syngenta (2021, April 08). Water-Sensitive Paper for Monitoring Spray Distribution. Available online: https://www.agroconsultasonline.com.ar//ticket.html/Water%20Sensitive%20Paper%20Syngenta%20Agro.pdf?op=d&ticket_id=2388&evento_id=4891.
21. Adaptive threshold for droplet spot analysis using water-sensitive paper
22. Assessing the ability of image processing software to analyse spray quality on water-sensitive papers used as artificial targets10.1016/j.biosystemseng.2011.10.002 ↗
23. Assessment of spray distribution with water-sensitive paper
24. A model to estimate the spray deposit by simulated water sensitive papers10.1016/j.cropro.2019.104861 ↗
25. Parameters influencing deposit estimation when using water sensitive papers10.4081/jae.2013.204 ↗
26. Kathiravelu, G., Lucke, T., and Nichols, P. (2016). Rain drop measurement techniques: A review. Water, 8.10.3390/w8010029 ↗
27. Fujimatsu, T., Kito, M., and Kondo, K. (2014). Droplet Size Measurement of Liquid Atomization by the Immersion Liquid Method (Droplet Coalescence and Solution into the Immersion Liquid), WIT Press. WIT Transactions on Engineering Sciences.10.2495/AFM140171 ↗
28. Droplet size measurement for liquid spray using digital image analysis technique10.3923/jas.2011.1966.1972 ↗
29. Experimental method for the assessment of agricultural spray retention based on high-speed imaging of drop impact on a synthetic superhydrophobic surface10.1016/j.biosystemseng.2012.02.005 ↗
30. Measurements of reference ISO nozzles by high-speed imaging10.1016/j.cropro.2016.07.016 ↗
31. Measuring spray droplet size from agricultural nozzles using laser diffraction
32. Liao, J., Luo, X., Wang, P., Zhou, Z., O’Donnell, C.C., Zang, Y., and Hewitt, A.J. (2020). Analysis of the influence of different parameters on droplet characteristics and droplet size classification categories for air induction nozzle. Agronomy, 10.10.3390/agronomy10020256 ↗
33. ISO (International Organization of Standardization) (2020). ISO 13320:2020 Particle Size Analysis—Laser Diffraction Methods, ISO. Available online: https://www.iso.org/obp/ui/#iso:std:iso:13320:en.
34. Nuyttens, D., Baetens, K., De Schampheleire, M., and Sonck, B. (2006). PDPA Laser Based Characterisation of Agricultural Sprays. Agric. Eng. Int. CIGR J., 8.
35. Effect of nozzle type, size and pressure on spray droplet characteristics10.1016/j.biosystemseng.2007.03.001 ↗
36. Lodwik, D., Pietrzyk, J., and Malesa, W. (2020). Analysis of volume distribution and evaluation of the spraying spectrum in terms of spraying quality. Appl. Sci., 10.10.3390/app10072395 ↗
37. Schick, R.J. (2008). Spray Technology Reference Guide: Understanding drop size. Spraying Systems Bulletin no. 459C, Spraying Systems Co.. Available online: https://www.spray.com/literature_pdfs/B459C_Understanding_Drop_Size.pdf.
38. Drop size measurement techniques for sprays: Comparison of image analysis, phase Doppler particle analysis, and laser diffraction10.1063/5.0018667 ↗
39. ISO (International Organization for Standardization) (2018). ISO 25358:2018, Crop Protection Equipment—Droplet-Size Spectra from Atomizers—Measurement and Classification, ISO. Available online: https://www.iso.org/standard/66412.html.
40. ISO (International Organization for Standardization) (2017). ISO 5682-1, Equipment for Crop Protection—Spraying Equipment—Part 1: Test Methods for Sprayer Nozzle, ISO. Available online: https://www.iso.org/standard/60053.html.
41. Longo, D., Manetto, G., Papa, R., and Cerruto, E. (2020). Design and construction of a low-cost test bench for testing agricultural spray nozzles. Appl. Sci., 10.10.3390/app10155221 ↗
42. A laboratory system for nozzle spray analysis
43. Image processing with Image
44. R Core Team (2019). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing. Available online: https://www.R-project.org.
45. Modelling drop size distribution10.1016/S0360-1285(02)00004-7 ↗
46. Simulation of water sensitive papers for spray analysis
47. Panão, M.O., Moita, A.S., and Moreira, A.L. (2020). On the statistical characterization of sprays. Appl. Sci., 10.10.3390/app10176122 ↗
48. Fitdistrplus: An R package for fitting distributions
49. ISO (International Organization for Standardization) (2018). ISO 10625, Equipment for Crop Protection—Sprayer Nozzles—Colour Coding for Identification, ISO. Available online: https://www.iso.org/standard/70624.html.
50. Lefebvre, A.H., and McDonell, V.G. (2017). Drop size distributions of sprays. Atomization and Sprays, CRC Press. [2nd ed.].10.1201/9781315120911 ↗
51. Ligament-mediated spray formation10.1103/PhysRevLett.92.074501 ↗
52. A prediction of the drop size distribution in a spray from first principles
53. Droplet size distribution: A derivation of a Nukiyama-Tanasawa type distribution function10.1080/00102208708947081 ↗
54. Quadratic formula for determining the drop size in pressure-atomized sprays with and without swirl10.1063/1.4951666 ↗
55. Determination of the drop size during air-blast atomization10.1115/1.4043592 ↗
56. Droplet dynamics and size characterization of high-velocity airblast atomization10.1016/j.ijmultiphaseflow.2017.02.001 ↗
57. Li, S., Chen, C., Wang, Y., Kang, F., and Li, W. (2021). Study on the atomization characteristics of flat fan nozzles for pesticide application at low pressures. Agriculture, 11.10.3390/agriculture11040309 ↗
58. Flat fan spray atomization model10.13031/trans.12572 ↗