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Research on Unmanned Aerial Vehicle Water Combined Quality Detection and Early-Warning System

  • Han Cao
  • Lei ChengEmail author
  • Bei Wu
  • GuoQiang Gao
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 582)

Abstract

Many lands in China are close to rivers and oceans and they are very suitable for developing fisheries. Water quality monitoring is indispensable to the development of fisheries. Therefore, a method of detecting fishery water quality by using unmanned aerial vehicle (UAV) electrode sensor array, evaluating and predicting the data transmission back to the background, and feeding back the evaluation and prediction results in time is proposed. The results show that this method can timely monitor fishery water quality and predict the future trend of water quality, and improve the detection efficiency.

Keywords

Fishery water Prediction Electrode sensor array UAV 

References

  1. 1.
    Xie, S., Wu, X., Xie, S., et al.: The role of fishery water quality analysis and monitoring in aquaculture. Jiangxi Aquatic Sci. Technol. 4, 6–9 (2005)Google Scholar
  2. 2.
    Vachtsevanos, G.J., Tang, L., Drozeski, G., et al.: From mission planning to flight control of unmanned aerial vehicles: Strategies and implementation tools. Ann. Rev. Control 29(1), 101–115 (2005)CrossRefGoogle Scholar
  3. 3.
    Nuñez, L., Cetó, X., Pividori, M.I., et al.: Development and application of an electronic tongue for detection and monitoring of nitrate, nitrite and ammonium levels in waters. Microchem. J. 110(9), 273–279 (2013)CrossRefGoogle Scholar
  4. 4.
    Gao, L., Wu, S., Tui, D.: The correlation between properties and structure of ethylene-vinyl-acetate (EVA) copolymers. In: Proceedings of the Twenty-First Symposium on Electrical Insulating Materials, Japan, pp. 59–63 (1988)Google Scholar
  5. 5.
    Greff, K., Srivastava, R.K., Koutník, J., et al.: LSTM: a search space Odyssey. IEEE Trans. Neural Netw. Learn. Syst. 28(10), 2222–2232 (2015)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Information Science and EngineeringWuhan University of Science and TechnologyWuhanChina

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