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Review

Fluid Dynamic Approaches for Prediction of Spray Drift from Ground Pesticide Applications: A Review

by 1,2,3,*,†, 1,3,†, 1,2, 1,2, 1,2, 4 and 5
1
Department of Rural and Bio-systems Engineering, Chonnam National University, Gwangju 61186, Korea
2
Education and Research Unit for Climate-Smart Reclaimed-Tideland Agriculture, Chonnam National University, Gwangju 61186, Korea
3
AgriBio Institute of Climate Change Management, Chonnam National University, Gwangju 61186, Korea
4
Department of Food, Agricultural and Biological Engineering, The Ohio State University, Columbus, OH 43210, USA
5
Application Technology Research Unit, USDA-ARS, Wooster, OH 44691, USA
*
Author to whom correspondence should be addressed.
Co-first authors (S.-w.H. and J.P.) contributed equally to the work.
Academic Editor: Connor Ferguson
Agronomy 2021, 11(6), 1182; https://doi.org/10.3390/agronomy11061182
Received: 6 May 2021 / Revised: 4 June 2021 / Accepted: 8 June 2021 / Published: 10 June 2021
Spray drifts have been studied by mathematical models and computer simulations as an essential complement to lab and field tests, among which are fluid dynamic approaches that help to understand the transport of spray droplets in a turbulent atmosphere and their potential impacts to the environment. From earlier fluid mechanical models to highly computational models, scientific advancement has led to a more realistic prediction of spray drift, but the current literature lacks reviews showing the trends and limitations of the existing approaches. This paper is to review the literature on fluid-mechanical-based modelling of spray drift resulting from ground spray applications. Consequently, it provides comprehensive understanding of the transition and development of fluid dynamic approaches and the future directions in this research field. View Full-Text
Keywords: canopy flow; ground sprayer; particle tracking; spray deposition; droplet retention; computational fluid dynamics (CFD) canopy flow; ground sprayer; particle tracking; spray deposition; droplet retention; computational fluid dynamics (CFD)
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MDPI and ACS Style

Hong, S.-w.; Park, J.; Jeong, H.; Lee, S.; Choi, L.; Zhao, L.; Zhu, H. Fluid Dynamic Approaches for Prediction of Spray Drift from Ground Pesticide Applications: A Review. Agronomy 2021, 11, 1182. https://doi.org/10.3390/agronomy11061182

AMA Style

Hong S-w, Park J, Jeong H, Lee S, Choi L, Zhao L, Zhu H. Fluid Dynamic Approaches for Prediction of Spray Drift from Ground Pesticide Applications: A Review. Agronomy. 2021; 11(6):1182. https://doi.org/10.3390/agronomy11061182

Chicago/Turabian Style

Hong, Se-woon, Jinseon Park, Hanna Jeong, Seyeon Lee, Lakyeong Choi, Lingying Zhao, and Heping Zhu. 2021. "Fluid Dynamic Approaches for Prediction of Spray Drift from Ground Pesticide Applications: A Review" Agronomy 11, no. 6: 1182. https://doi.org/10.3390/agronomy11061182

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