Skip to main content

Design and Research of the Intelligent Aquaculture Monitoring System Based on the Internet of Things

  • Conference paper
  • First Online:
Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1088))

Abstract

At present, China is the largest aquaculture country in the world, ranking in the forefront of the world in terms of the aquaculture scale and the aquaculture production. However, with the expansion of the aquaculture species and the gradual saturation of the development and utilization of the water resources, the traditional aquaculture methods are liable to cause adverse consequences such as the water pollution and the low quality of the aquatic products. Therefore, we have to abandon the extensive way of relying entirely on the experience for the aquaculture in the past. Through the use of the emerging technologies and the timely and accurate data of the aquaculture environment, it is inevitable to make efficient and timely adjustment. In this context, the introduction of the technology of the Internet of Things makes it possible for the aquaculture with high efficiency, high yield and environmental protection.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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. Liangliang, Gao, Li Daoliang, Liang Yong, et al. 2013. Research on the construction and management of the internet of things application system for the aquaculture supervision. Journal of Shandong Agricultural Sciences 8: 27–33.

    Google Scholar 

  2. Li, Junbin, Hu Yongzhong. 2011. Application design of the ZigBee communication network based on CC2530. Journal of Electronic Design Engineering 16: 16–21.

    Google Scholar 

  3. Wu, Chunming, Liu Haiwei. 2014. Design and implementation of a remote monitoring system for wind turbines based on ZigBee. Chinese Journal of Electron Devices 3: 33–38.

    Google Scholar 

  4. Juan, Huan, Liu Xingqiao, Cheng Liqiang, et al. 2012. Design of the wireless monitoring system for the aquaculture aquatic environment based on ZigBee. Fishery Modernization 11: 35–39.

    Google Scholar 

  5. Yao, Zhipeng. 2013. ZigBee application development based on the Z-stack protocol stack ZCL library and conforming to the HA specification. Journal of Internet of Things Technology 4: 25–30.

    Google Scholar 

Download references

Acknowledgements

Three-new fishery project in Jiangsu Province “Demonstration and Promotion of Australian Freshwater Crayfish Breeding and Eco-efficient Culture Technology (Y2017-41)”; Taizhou Agricultural Science and Technology Support Project “Application of the Internet of Things on Youheng Wisdom Farm (TN201819)”; Jiangsu Vocational College of Agriculture and Animal Husbandry Science and Technology Project “Planning Service of Taizhou Gensi Special Aquatic Industrial Park (NSFPT 201 742)”; Australia Light Breeding and Technology Application of Water Crayfish (NSF201613)”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Handong Cheng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, J., Cheng, H., Yuan, S., Wang, Q., Shu, L., Zhang, C. (2020). Design and Research of the Intelligent Aquaculture Monitoring System Based on the Internet of Things. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_170

Download citation

Publish with us

Policies and ethics