Full TGIF Record # 211383
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Web URL(s):http://elibrary.asabe.org/azdez.asp?JID=3&AID=41487&CID=aeaj2012&v=28&i=3&T=2&redirType=
    Last checked: 10/02/2012
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http://elibrary.asabe.org/azdez.asp?JID=3&AID=41487&CID=aeaj2012&v=28&i=3&T=1&redirType=
    Last checked: 10/05/2012
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Publication Type:
i
Refereed
Author(s):Huang, Y.; Zhan, W.; Fritz, B. K.; Thomson, S. J.
Author Affiliation:Huang: Member, ASABE and Agricultural Engineer, USDA-ARS, JWDSRC Crop Production Systems Research Unit, Stoneville, Mississippi; Zhan: Assistant Professor, Department of Engineering Technology and Industrial Distribution, Texas A&M University; Fritz: Member, ASABE and Agricultural Engineer, Areawide Pest Management Research Unit, USDA-ARS, College Station, Texas; Thomson: Member, ASABE and Agricultural Engineer, Crop Production Systems Research Unit, USDA-ARS, Stoneville, Mississippi
Title:Optimizing selection of controllable variables to minimize downwind drift from aerially applied sprays
Section:Power & machinery
Other records with the "Power & machinery" Section
Source:Applied Engineering in Agriculture. Vol. 28, No. 3, 2012, p. 307-314.
Publishing Information:St. Joseph, Michigan: American Society of Agricultural Engineers
# of Pages:8
Related Web URL:http://elibrary.asabe.org/abstract.asp?aid=41487&t=3&dabs=Y&redir=&redirType=
    Last checked: 10/02/2012
    Notes: Abstract only
Keywords:TIC Keywords: Aerial sprayers; Air movement; Spraying equipment
Abstract/Contents:"Drift of aerially applied crop protection and production materials was studied using a novel simulation-based approach. This new approach first studied many factors that can potentially contribute to downwind deposition from aerial spray application to narrow down the major contributing factors. An optimization process was then applied to reduce the negative impact from one of the main factors, wind speed. With the focus on major contributing factors such as wind speed, release height, and droplet size, the optimization process was performed in AGDISP and MATLAB. This resulted in a near-optimal offset of the flight trajectory in the direction perpendicular to the swath lines to compensate for wind speed. The effect of the near-optimal offset, i.e., the swath offset, was then validated using the Monte Carlo analysis: random values for all the factors were generated; the near-optimal swath offset values were used in comparison to the default one-half swath width offset; the difference between results using the default and the near-optimal offset was analyzed. Statistical analysis of results showed that using the near-optimal offset values can greatly reduce downwind drift as compared to the default offset value. The near-optimal offset values achieved results very close to the optimal ones. For the comparison of application efficiencies, the cumulative downwind deposition between 30.48 and 45.72 m (100 and 150 ft), and the deposition at 30.48, 76.2, and 152.4 m (100, 250, and 500 ft) were used as the performance metrics. The new method can provide some guidance to applicators. For instance, in order to achieve a certain application efficiency value, certain constraints on wind speed, release height, and droplet size must be satisfied."
Language:English
References:53
Note:Tables
Graphs
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Zhan, W., Y. Huang, W. Zhan, B. K. Fritz, and S. J. Thomson. 2012. Optimizing selection of controllable variables to minimize downwind drift from aerially applied sprays. Appl. Eng. Agric. 28(3):p. 307-314.
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Web URL(s):
http://elibrary.asabe.org/azdez.asp?JID=3&AID=41487&CID=aeaj2012&v=28&i=3&T=2&redirType=
    Last checked: 10/02/2012
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
http://elibrary.asabe.org/azdez.asp?JID=3&AID=41487&CID=aeaj2012&v=28&i=3&T=1&redirType=
    Last checked: 10/05/2012
    Access conditions: Item is within a-limited access website
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