Author
Listed:
- Qi Liu
(College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255022, China
Shandong University of Technology Sub-Center of National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Zibo 255022, China
Academy of Ecological Unmanned Farm, Shandong University of Technology, Zibo 255022, China)
- Changfeng Shan
(College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255022, China
Shandong University of Technology Sub-Center of National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Zibo 255022, China
Academy of Ecological Unmanned Farm, Shandong University of Technology, Zibo 255022, China)
- Haiyan Zhang
(College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China)
- Cancan Song
(College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255022, China
Shandong University of Technology Sub-Center of National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Zibo 255022, China
Academy of Ecological Unmanned Farm, Shandong University of Technology, Zibo 255022, China)
- Yubin Lan
(College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255022, China
Shandong University of Technology Sub-Center of National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Zibo 255022, China
Academy of Ecological Unmanned Farm, Shandong University of Technology, Zibo 255022, China
Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77845, USA)
Abstract
The droplet size distribution following pesticide application practices can significantly impact droplet drift and non-target organisms (animals and plants). However, the relationship among liquid sheet breakup, drop formation, and droplet drift is an area that has been studied over the past 65 years but is still not fully understood. The objectives of this study were severalfold: to examine the liquid sheet breakup following the use of different adjuvants (sodium dodecyl sulfate, aerosol OT, and silicone at 1%) and their effects on the drift via three commonly used commercial spray nozzles (XR, AIXR, and TXVK). The spray sheet and initial droplet size spectrum for each spray was detected by a particle image velocimetry (PIV) system, and the drift for each treatment was measured in a wind tunnel. The nozzle type and the spray solution were found to significantly affect the liquid sheet breakup characteristics. AIXR produced large droplets, and TXVK with short liquid sheet length produced more small droplets. All adjuvants used in these experiments increased the formation of large droplets upon atomization while simultaneously reducing driftable fines (e.g., drops %<150 µm). The drift potential can be reduced by up to 66.1% when switching from a fine spray quality (TXVK) to a coarse spray quality (AIXR). The SDS adjuvant provided the most effective drift reduction for XR and TXVK nozzles showing reduced drift potential by 69.2% and 66.3%, respectively, while the silicone adjuvant showed the largest drift reduction for AIXR of 78.3%. The correlation between the liquid sheet length and D V0.5 was positive for XR and TXVK nozzles, and there was a significant positive correlation between %<150 µm and drift potential for all nozzles. This work suggests that the drift can be reduced significantly by changing the nozzle type and adding pesticide adjuvant into spray solution, which provided data support for the drift reduction of plant protection drones.
Suggested Citation
Qi Liu & Changfeng Shan & Haiyan Zhang & Cancan Song & Yubin Lan, 2023.
"Evaluation of Liquid Atomization and Spray Drift Reduction of Hydraulic Nozzles with Four Spray Adjuvant Solutions,"
Agriculture, MDPI, vol. 13(2), pages 1-18, January.
Handle:
RePEc:gam:jagris:v:13:y:2023:i:2:p:236-:d:1040618
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