Skip to main content
SpringerLink
Log in
Book cover

International Conference on Applications and Techniques in Cyber Security and Intelligence

ATCI 2020: 2020 International Conference on Applications and Techniques in Cyber Intelligence pp 652–659Cite as

Dynamic Prediction Model of Greenhouse Soil Moisture Driven by CPS Spatiotemporal Events

  • Conference paper
  • First Online:

  • 1526 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1244))

Abstract

Aiming at the difficulties of soil moisture control in greenhouse, including soil moisture perception and dynamic prediction with spatiotemporal properties, the sprinkler irrigation event model in the greenhouse based on the CPS spatiotemporal event model is analyzed; In allusion to the spatial variability of greenhouse soil, a layout algorithm of greenhouse soil moisture sensors combining regular mesh and Delaunay triangulation is designed; Meanwhile, aiming at the strong time lag of the soil moisture change in the greenhouse, an RBF neural network dynamic prediction model is designed based on Delaunay triangulation optimization algorithm.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   299.99
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

Learn about institutional subscriptions

References

  1. Ding, C., Liu, Q., Tian, J., et al.: Agro-meteorological monitoring system based on event-driven modeling of cyber-physical system. Jiangsu J. Agric. Sci. 34(4), 825–834 (2018)

    Google Scholar 

  2. Jin, H., Li, L., Yuan, S., et al.: An algorithm of Delaunay triangulation network growth based on rectangular ring partitioning. J. Henan Polytech. University (Nat. Sci.) 36(6), 63–68 (2017). (in Chinese)

    Google Scholar 

  3. Kong, D., Wang, L., Liu, J., et al.: Scale effect of spatial variability of cropland soil water content in black soil region. J. Hydraul. Eng. 48(5), 608–612 + 622 (2017)

    Google Scholar 

  4. Zhao, H., Sun, D., Cheng, S., et al.: A hybrid discrete and continuous CPS architecture driven by spatial-temporal event. J. Harbin Inst. Technol. 48(9), 170–175 (2016). (in Chinese)

    Google Scholar 

  5. Yin, Z., Zhang, K., Du, H., et al.: Cyber physical system modeling based on event driven. Microelectron. Comput. 32(12), 126–129 (2015)

    Google Scholar 

  6. Wan, B., Fu, C., Zheng, S., et al.: Layout optimization of soil moisture sensors in precise control of intelligent greenhouse. Water Saving Irrig. 10, 74–78 + 83 (2017). (in Chinese)

    Google Scholar 

  7. Wan, B., Fu, C., Zheng, S., et al.: Dynamic prediction model of greenhouse soil moisture based on neural network. Water Saving Irrig. 11, 72–76 (2017)

    Google Scholar 

Download references

Acknowledgements

This research was supported by “Digital Agriculture” Emerging Cross Key Discipline of Jilin Province, Smart Agricultural Engineering Research Center of Jilin Province and Jilin Agricultural Science and Technology University Youth Fund Project (JLASTU Contract Number: 20190354).

Author information

Authors and Affiliations

  1. Jilin Agricultural Science and Technology University, Jilin, 132101, Jilin, China

    Xiaoyong Bo & You Tang

  2. Smart Agricultural Engineering Research Center of Jilin Province, Jilin, 132101, Jilin, China

    Xiaoyong Bo & You Tang

Authors
  1. Xiaoyong Bo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. You Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaoyong Bo .

Editor information

Editors and Affiliations

  1. Distributed System and Security Research Cluster, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  4. University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bo, X., Tang, Y. (2021). Dynamic Prediction Model of Greenhouse Soil Moisture Driven by CPS Spatiotemporal Events. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_96

Download citation

Publish with us

Policies and ethics

Search

Navigation