Journal of Drive and Control (드라이브 ㆍ 컨트롤)

The Korean Society for Fluid Power and Construction Equipment (유공압건설기계학회)
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Predicting the spray uniformity of pest control drone using multi-layer perceptron

다층신경망을 이용한 드론 방제의 살포 균일도 예측

  • Baek-gyeom Seong (Department of Biosystem Machinery Engineering, Chungnam National University) ;
  • Seung-woo Kang (Department of Biosystem Machinery Engineering, Chungnam National University) ;
  • Soo-hyun Cho (Department of Biosystem Machinery Engineering, Chungnam National University) ;
  • Xiongzhe Han (Department of Biosystems Engineering, Kangwon National University) ;
  • Seung-hwa Yu (Department of Agricultural Engineering, National Institute of Agricultural Science) ;
  • Chun-gu Lee (Department of Agricultural Engineering, National Institute of Agricultural Science) ;
  • Yeongho Kang (Department of Crops and Foods, Jeollabuk-do Agricultural Research and Extension Science) ;
  • Dae-hyun Lee (Department of Biosystem Machinery Engineering, Chungnam National University)
  • Received : 2023.07.06
  • Accepted : 2023.08.25
  • Published : 2023.09.01
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Abstract

In this study, we conducted a research on optimizing the spraying performance of agricultural drones and predicted the spraying performance in various flight conditions using the multi-layer perceptron (MLP). Data was collected using a test device for pesticide spraying performance according to the water sensitive paper (WSP) evaluation. MLP training involved supervised learning to achieve a coefficient of variation (CV), which indicates the degree of uniform spraying. The performance evaluation was conducted using R-squared (R2), the test samples showed an R2 of 0.80. The results of this study showed that drone spraying performance can be predicted under various flight environments. In addition, the correlation analysis between flight conditions and predicted spraying performance will be useful for further research on optimizing the spraying performance of agricultural drones.

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Acknowledgement

본 연구는 2023년도 농촌진흥청의 재원으로 드론 변량형 살포 기술 개발(과제번호:PJ01698304)의 지원을 받아 수행되었음을 밝힙니다.

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