Skip to main content

Complete Sets of Aquaculture Automation Equipment and Their Monitoring Cloud Platform

  • Conference paper
  • First Online:
Recent Developments in Mechatronics and Intelligent Robotics (ICMIR 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 691))

Included in the following conference series:

Abstract

For the development of modern aquaculture in Guangdong, a set of intelligent breeding equipment have been researched which consisted of unmanned cruise boat for fish pond or lake, automatic aquaculture plant for indoor, buoy floating with wind and waves or on-demand voyages for marine pasture and their supporting sensors, as well as a remote service cloud platform for centralized online scheduling and monitoring these equipment. Through demonstration application in several enterprises, it was proved that these products can improve aquaculture efficiency, management level and ecological environment by the use of lower late farming inputs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Shi, B., Zhao, D., Liu, X., et al.: Intelligent monitoring system for industrialized aquaculture based on wireless sensor network. Trans. CASE 27(09), 136–140 (2011)

    Google Scholar 

  2. Shi, B., Zhao, D., Liu, X., et al.: Design of intelligent monitoring system for aquaculture. Trans. China. Soc. Agric. Mach. 42(09), 191–196 (2011)

    Google Scholar 

  3. Li, H., Liu, X., Li, J., et al.: Aquiculture remote monitoring system based on IOT Android platform. Trans. CSAE 29(13), 175–181 (2013)

    Google Scholar 

  4. Li, L., Shi, W.: Design of dynamic monitoring system for seawater factory culture. Jiangsu Agric. Sci. 40(03), 364–367 (2012)

    Google Scholar 

  5. Li, D., Fu, Z.: Design and development of intellectual aquacultural information system. Trans. CSAE 16(04), 135–138 (2000)

    Google Scholar 

  6. Ma, C., Zhao, D., Qin, Y., et al.: Intelligent monitoring and control for aquiculture process based on fieldbus. Trans. China. Soc. Agric. Mach. 38(8), 113–115 (2007)

    Google Scholar 

  7. Cui, J., Ma, T., Yang, S., et al.: Optimized analysis of high-speed USV intelligence propulsion system. Ship Sci. Technol. 9(1), 69–73 (2009)

    Google Scholar 

  8. Shanghai Maritime University. A ship propulsion system and navigation control method: China, 200810034634.3, 14 January 2009

    Google Scholar 

  9. Zhu, D., Zhang, B., Wang, Y., et al.: Full - swing pod propulsion hydrodynamic performance test. Ship Eng. 35(S2), 58–61 (2013)

    Google Scholar 

  10. Islam, M.F., MacNeill, A., Veitch, B., et al.: Effects of geometry variations on the performance of podded propulsors. In: Maritime Technology Conference & Expo and Ship Production Symposium, Florida, USA (2007)

    Google Scholar 

  11. Chen, G.: Research on Ship Heading Control Based on Fuzzy Sliding Mode Variable Structure Control. Jiangsu University of Science and Technology, Zhengjiang (2010)

    Google Scholar 

Download references

Acknowledgments

This work was supported by Pearl River S&T Nova Program of Guangzhou (2014J2200091), Science and Technology Program of Guangzhou (201604046004) and 2016 Provincial Modern Agricultural Science and Technology Innovation Alliance Construction Program (2016LM2147). In addition, I am indebted to a talented workmate, Mr. Rongbin Xian, who helped us draw 3D figure.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jiayi Huang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Huang, J., Meng, X., Xie, Q., Chen, W., Wang, S. (2018). Complete Sets of Aquaculture Automation Equipment and Their Monitoring Cloud Platform. In: Qiao, F., Patnaik, S., Wang, J. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2017. Advances in Intelligent Systems and Computing, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-319-70990-1_63

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-70990-1_63

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70989-5

  • Online ISBN: 978-3-319-70990-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics