Spray optimization through application and liquid physical property variables–I

Andrew J. Hewitt ()
Additional contact information
Andrew J. Hewitt: Stewart Agricultural Research Services

Environment Systems and Decisions, 2008, vol. 28, issue 1, 25-30

Abstract: Abstract One of the most important considerations when optimizing a spray application for maximum efficacy and minimum drift is the selection of the optimum droplet size spectrum (Hewitt, A. J., 1997. The importance of droplet size in agricultural spraying. Atomization and Sprays, 7(3), 235–244). Applicators are faced with an extensive selection of nozzle types, tank mixes and adjuvants. The present paper discusses the way that the tank mix and application variables interact to produce specific spray characteristics of droplet size spectrum, coverage and performance in total spray efficiency. Experimental data investigating the effects of liquid physical properties such as dynamic surface tension, shear and extensional viscosity are described. Spray formation from emulsions, surfactants and oils is also discussed. Atomization studies conducted in wind tunnels using a wide range of atomizer and nozzle types under different operating conditions are discussed. Empirical models for predicting atomization and drift of sprays are described with emphasis on their development and practical use for spray optimization.

Keywords: Spray drift; Deposition; Pesticide; Droplet size; Physical properties (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10669-007-9044-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:envsyd:v:28:y:2008:i:1:d:10.1007_s10669-007-9044-5

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10669

DOI: 10.1007/s10669-007-9044-5

Access Statistics for this article

More articles in Environment Systems and Decisions from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().