Skip to main content

Aeroponic Greenhouse as an Autonomous System Using Intelligent Space for Agriculture Robotics

  • Chapter
Robot Intelligence Technology and Applications 2

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 274))

Abstract

This paper describes a novel approach to aeroponic and hydroponic system monitoring, fault detection and automation. The first part of this paper is dedicated to brief literature preview about hydroponics and aeroponics, its common and distinctive features and the description of the needs for its automation. The second part of this paper deals with aeroponic greenhouse control scheme proposal. We consider a greenhouse covered by a sensor network, actuators and hydroponic or aeroponic platforms to be a robotic system in so called intelligent space. The aeroponic platform design is described besides the conclusions and future work ideas in the last part of this paper.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. World Population Prospects: The 2012 Revision. UN Press Release, New York (June 13, 2013)

    Google Scholar 

  2. Pittinger, D.R.: Introduction to Horticulture. In: California Master Gardener Handbook (Publication 3382), ch. 2, The Regents of the University of California, Division of Agriculture and Natural Resources (2002)

    Google Scholar 

  3. Doyle, O., Aldous, D., Barrett-Mold, H., Bijzet, Z., Darnell, R., Martin, B., McEvilly, G., Stephenson, R.: 2012 Defining Horticulture, Horticulturist and Horticultural Scientist. In: Doyle, O. (ed.) Ad Hoc Committee for Global Horticulture Advocacy. University College Dublin, Ireland (2012)

    Google Scholar 

  4. NASA Spinoff 2006, Innovative Partnership Program, Publications and Graphics Department NASA Center for Aerospace Information (CASI) (2006)

    Google Scholar 

  5. Thiyagarajan, G., Umadevi, R., Ramesh, K.: Hydroponics. Science Tech Entrepreneur (January 2007)

    Google Scholar 

  6. Sholto, D.J.: Advanced guide to hydroponics, No. new edn. Pelham Books (1985)

    Google Scholar 

  7. Nir, I.: Growing Plants in Aeroponics Growth System. Acta Hort (ISHS) 126, 435–448 (1982)

    Google Scholar 

  8. Amos, J., et al.: Final Report for the Robotic Construction of a Permanently Manned Mars Base. Mars Investment for a New Generation (M.I.N.G.). NASA (1989)

    Google Scholar 

  9. Ritter, E., Angulo, B., Riga, P., Herran, C., Relloso, J., San Jose, M.: Comparison of hydroponic and aeroponic cultivation systems for the production of potato minitubers. Potato Research 44, 127–135 (2001)

    Article  Google Scholar 

  10. Morimoto, T., Hatou, K., Hashimoto, Y.: Intelligent Control for a Plant Production System, Control Eng. Practice 4(6), 773–784 (1996)

    Google Scholar 

  11. Lopez-Morales, V., Lopez-Ortega, O., Ramos-Fernandez, J., Munoz, L.B.: JAPIEST: An integral intelligent system for the diagnosis and control of tomatoes diseases and pests in hydroponic greenhouses. Expert Systems with Applications 35, 1506–1512 (2008)

    Article  Google Scholar 

  12. Ferentinos, K.P., Albright, L.D., Selman, B.: Neural network-based detection of mechanical, sensor and biological faults in deep-trough hydroponics. Computers and Electronics in Agriculture 40, 65–85 (2003)

    Article  Google Scholar 

  13. Ferentinos, K.P., Albright, L.D.: Fault Detection and Diagnosis in Deep-trough Hydroponics using Intelligent Computational Tools. Biosystems Engineering 84(1), 13–30 (2003), doi:10.1016/S1537-5110(02)00232-5

    Article  Google Scholar 

  14. Tik, L.B., Khuan, C.T., Palaniappan, S.: Monitoring of an Aeroponic Greenhouse with a Sensor Network. IJCSNS International Journal of Computer Science and Network Security 9(3) (March 2009)

    Google Scholar 

  15. Sahu, K., Mazumdar, S.G.: Digitally Greenhouse Monitoring and Controlling of System based on Embedded System. International Journal of Scientific & Engineering Research 3(1) (January 2012) ISSN 2229-5518

    Google Scholar 

  16. Song, Y., Ma, J., Zhang, X., Feng, Y.: Design of Wireless Sensor Network-Based Greenhouse Environment Monitoring and Automatic Control System. Journal of Networks 7(5), 838–844 (2012), doi:10.4304/jnw.7.5.838-844.

    Article  Google Scholar 

  17. Ahonen, T., Virrankoski, R., Elmusrati, M.: Greenhouse Monitoring with Wireless Sensor Network. In: IEEE/ASME International Conference on Mechtronic and Embedded Systems and Applications, MESA 2008, October 12-15, pp. 403–408 (2008), doi:10.1109/MESA.2008.4735744

    Google Scholar 

  18. Liu, B., Wang, F.-Y., Geng, J., Yao, Q., Gao, H., Zhang, B.: Intelligent spaces: An overview. In: IEEE International Conference on Vehicular Electronics and Safety, ICVES, December 13-15, pp. 1–6 (2007)

    Google Scholar 

  19. Sasaki, T., Brscic, D., Hashimoto, H.: Human-Observation-Based Extraction of Path Patterns for Mobile Robot Navigation. IEEE Transactions on Industrial Electronics 57(4), 1401–1410 (2010)

    Article  Google Scholar 

  20. Tivatansakul, S., Tanupaprungsun, S., Areekijseree, K., Achalakul, T., Hirasawa, K., Sawada, S., Saitoh, A., Ohkura, M.: The intelligent space for the elderly — Implementation of fall detection algorithm. In: 2012 Proceedings of SICE Annual Conference, SICE, August 20-23, pp. 1944–1949 (2012)

    Google Scholar 

  21. Qu, F., Wang, F.-Y., Yang, L.: Intelligent transportation spaces: vehicles, traffic, communications, and beyond. IEEE Communications Magazine 48(11), 136–142 (2010)

    Article  Google Scholar 

  22. Lu, F., Tian, G., Zhou, F., Xue, Y., Song, B.: Building an Intelligent Home Space for Service Robot Based on Multi-Pattern Information Model and Wireless Sensor Networks. Intelligent Control and Automation 3, 90–97 (2012)

    Article  Google Scholar 

  23. Lu, S., Qi, W.: Navigation and positioning research of service robot based on intelligent space. In: Automation and Logistics, ICAL 2009, August 5-7, pp. 2015–2017 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Martin Pala .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Pala, M., Mizenko, L., Mach, M., Reed, T. (2014). Aeroponic Greenhouse as an Autonomous System Using Intelligent Space for Agriculture Robotics. In: Kim, JH., Matson, E., Myung, H., Xu, P., Karray, F. (eds) Robot Intelligence Technology and Applications 2. Advances in Intelligent Systems and Computing, vol 274. Springer, Cham. https://doi.org/10.1007/978-3-319-05582-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-05582-4_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05581-7

  • Online ISBN: 978-3-319-05582-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics