4.5 Article

An effective spray drift-reducing method for a plant-protection unmanned aerial vehicle

Publisher

CHINESE ACAD AGRICULTURAL ENGINEERING
DOI: 10.25165/j.ijabe.20191205.4289

Keywords

plant-protection UAV; spray drift; spraying pressure; spraying angle; fuzzy algorithm

Funding

  1. Project of Guangdong Province support plans for top-notch youth talents, China [2016TQ03N704]
  2. Project of Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme, China [2016]
  3. Science and Technology Innovation fund for Graduate Students of ZhongKai University of agricultural and engineering [KJCX2019007]
  4. Planned Science and Technology Project of Guangdong Province, China [2016B020202008, 2017A040405015, 2017B010117012]
  5. Special Funds for the Cultivation of Guangdong College Students' Scientific and Technological Innovation (Climbing Program Special Funds) [PDJH2019B0244]
  6. Planned Science and Technology Project of Guangzhou, China [201704020076, 201904010206]
  7. Innovative Project for University of Guangdong Province [2017KTSCX099]
  8. Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, China [2018ZJUGP001]

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A spraying system for a plant-protection unmanned aerial vehicle (UAV) was designed to reduce spray drift. A custom low-speed wind tunnel was constructed to generate a wind speed ranging from 0 to 5.92 m/s. The results showed that the wind speed was attenuated with an increase in distance. To compensate for the attenuation, a linear-fitting model was adopted. Then, the relationship between the spraying pressure and atomization rate was analyzed, and a fuzzy algorithm was adopted to adjust the spraying angle and pressure according to the wind speed and its changing rate. Finally, an evaluation of the proposed system in the compensated wind tunnel was conducted, and the drift distance was reduced by 33.7% compared with the system without adjustment of the spraying angle and pressure.

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