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Average Degree of Coverage and Coverage Unevenness Coefficient as Parameters for Spraying Quality Assessment

Author

Listed:
  • Beata Cieniawska

    (Institute of Agricultural Engineering, Wrocław University of Environmental and Life Sciences, 37b Chełmońskiego Street, 51-630 Wrocław, Poland)

  • Katarzyna Pentos

    (Institute of Agricultural Engineering, Wrocław University of Environmental and Life Sciences, 37b Chełmońskiego Street, 51-630 Wrocław, Poland)

Abstract

The purpose of the research was to determine the influence of selected factors on the average degree of coverage and uniformity of liquid spray coverage using selected single and dual flat fan nozzles. The impact of nozzle type, spray pressure, driving speed, and spray angle on the average degree of coverage and coverage unevenness coefficient were studied. The research was conducted with special spray track machinery designed and constructed to control and change the boom height, spray angle, driving speed, and spray pressure. Based on the research results, it was found that the highest average coverage was obtained for single standard flat fan nozzles and dual anti-drift flat fan nozzles. At the same time, the highest values of unevenness were observed for these nozzles. Inverse relationships were obtained for air-induction nozzles. Maximization of coverage with simultaneous minimization of unevenness can be achieved by using a medium droplet size for single flat fan nozzles (volume median diameter (VMD) = 300 μm) and coarse droplet size for dual flat fan nozzles (VMD = 352 μm), with low driving speed (respectively 1.1 m∙s −1 and 1.6 m∙s −1 ) and angling of the nozzle by 20° in the opposite direction to the direction of travel.

Suggested Citation

  • Beata Cieniawska & Katarzyna Pentos, 2021. "Average Degree of Coverage and Coverage Unevenness Coefficient as Parameters for Spraying Quality Assessment," Agriculture, MDPI, vol. 11(2), pages 1-14, February.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:2:p:151-:d:498490
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    References listed on IDEAS

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    1. Georgios Bourodimos & Michael Koutsiaras & Vasilios Psiroukis & Athanasios Balafoutis & Spyros Fountas, 2019. "Development and Field Evaluation of a Spray Drift Risk Assessment Tool for Vineyard Spraying Application," Agriculture, MDPI, vol. 9(8), pages 1-20, August.
    2. Katarzyna Szwedziak & Gniewko Niedbała & Żaneta Grzywacz & Przemysław Winiarski & Petr Doležal, 2020. "The Use of Air Induction Nozzles for Application of Fertilizing Preparations Containing Beneficial Microorganisms," Agriculture, MDPI, vol. 10(7), pages 1-12, July.
    3. Grianggai Samseemoung & Peeyush Soni & Pimsiri Suwan, 2017. "Development of a Variable Rate Chemical Sprayer for Monitoring Diseases and Pests Infestation in Coconut Plantations," Agriculture, MDPI, vol. 7(10), pages 1-13, October.
    4. Fengbo Yang & Xinyu Xue & Chen Cai & Zhu Sun & Qingqing Zhou, 2018. "Numerical Simulation and Analysis on Spray Drift Movement of Multirotor Plant Protection Unmanned Aerial Vehicle," Energies, MDPI, vol. 11(9), pages 1-20, September.
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    Cited by:

    1. Sebastian Kujawa & Gniewko Niedbała, 2021. "Artificial Neural Networks in Agriculture," Agriculture, MDPI, vol. 11(6), pages 1-6, May.

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