STP1347

    Qualitative Properties of Spray Deposits — Patterns and Statistics

    Published: Jan 1998


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    Abstract

    Pesticides must be applied to the target area uniformly. Uniformity of sprayer output is typically described by the coefficient of variation (CV) of the spray emitted. However, deposit size, number, and concentration interactions are overlooked when using this statistic. A measurement technique and alternative statistics, capable of documenting and separating qualitatively different spray patterns produced by quantitatively similar spray distributions were evaluated. Water and Roundup® Ultra with and without Kinetic™ and AgRhô™ DR 2000 were applied to plastic tape at 93.5 L/ha through XR8O03VS, TT11003VP, and TDVC-03/06 tips. Nigrosin was used as a tracer. Deposits were allowed to dry and were photographed at 2 cm intervals across the swath using an image analysis system. Deposit structure (#/cm2, size distribution and applied volume) was analyzed for each subsample. The data showed that while differences could be shown to occur in individual parameters, better separation of treatments was achieved with the use of the diversity statistics.

    Keywords:

    deposit distribution, spray patterns, information statistic, image analysis, spray quality, pesticides, spray uniformity, deposit quality


    Author Information:

    Downer, RA
    Research Associate, Research Associate, Research Assistant, and Professor, Laboratory for Pest Control Application Technology, The Ohio State University, Wooster, OH

    Taylor, RAJ
    Research Scientist, The Ohio State University, Wooster, OH

    Ebert, TA
    Research Associate, Research Associate, Research Assistant, and Professor, Laboratory for Pest Control Application Technology, The Ohio State University, Wooster, OH

    Thompson, RS
    Research Associate, Research Associate, Research Assistant, and Professor, Laboratory for Pest Control Application Technology, The Ohio State University, Wooster, OH

    Hall, FR
    Research Associate, Research Associate, Research Assistant, and Professor, Laboratory for Pest Control Application Technology, The Ohio State University, Wooster, OH


    Paper ID: STP14156S

    Committee/Subcommittee: E35.22

    DOI: 10.1520/STP14156S


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