Skip to main content

Design and Implementation of Green Ecological Supervision Using Raspberry Pi

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1014))

Abstract

The climatologically conditions inside a greenhouse can be monitored and controlled to provide the best conditions for the growth of plants. The temperature, humidity, soil moisture, light, and CO2 Level are monitored using sensors and the climatologically conditions are controlled automatically using actuation devices. This is the primary zone of the wireless sensor networks (WSNs), with the principle motivation behind being was to check the physical world and to record the variations of its attributes. This paper demonstrates a natural checking framework and encompassing parameters utilizing a Web remote sensor that transmits information to the server utilizing IEEE802.11b. The following parameters include soil wetness, humidity, light intensity, water PH, and temperature are connected by sensors. Former can become aware of the status of nurseries and can control the framework whenever required by sending orders through the GPRS arrange. This information will be transferred to the server. Therefore, there is a great need of IoT for advanced prototyping. The paper presents and develops a framework that is laid for establishing the communication between the sensors node to Raspberry Pi for monitoring the environmental parameters with a low-cost and compact setup.

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

Buying options

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

Learn about institutional subscriptions

References

  1. Satapathy, S.C., et al.: Smart intelligent computing and applications. In: Proceedings of the Second International Conference on SCI, vol. 1 (2018)

    Google Scholar 

  2. Parthornratt, T., Burapanonte, N., Gunjarueg, W.: People identification and counting system using raspberry pi. IEEE (2016)

    Google Scholar 

  3. Soetedjo, A., Mahmudi, A., Ibrahim Ashari, M., Nakhoda, Y.I.: Raspberry Pi-based laser spot detection. In: 2014 IEEE International Conference on Electrical Engineering and Computer Science, pp. 24–25. Bali, Indonesia, Nov (2014)

    Google Scholar 

  4. Rukmini, M.S.S., Devi, D.B.G.: Remote control of appliances based on raspberry pi. In: 2016 Second International Conference on Cognitive Computing and Information Processing (CCIP) (2016). 978-1-5090-1025-7/16/$31.00 ©2016 IEEE

    Google Scholar 

  5. Sundaram, G.S., Patibandala, B., Santhanam, H., Gaddam, S., Alla, V.K., Prakash, G.R., Chandracha, S.C.V., Boppana, S., Conrad, J.M.: Bluetooth communication using a touchscreen interface with the raspberry pi (2013). 978-1-4799-0053-4/13/$31.00 ©2013 IEEE

    Google Scholar 

  6. Agrawal, N., Singhal, S.: Smart drip irrigation system using raspberry pi and arduino. In: International Conference on Computing, Communication and Automation (ICCCA2015) (2015). ISBN:978-1-4799-8890-7/15/$31.00 ©2015 IEEE

    Google Scholar 

  7. Tank, V., Warrier, S., Jakhiya, N.: Medicine dispensing machine using raspberry pi and arduino controller. In: Proceedings IEEE Conference on Emerging Devices and Smart Systems (ICEDSS 2017) 3–4 Mar (2017), Mahendra Engineering College, Tamilnadu, India.. 978-1-5090-5555-5/17/$31.00 ©2017 IEEE

    Google Scholar 

  8. Satapathy, S.C., et al.: Computer communication, networking and internet security. In: Proceedings of IC3T 5 (2016)

    Google Scholar 

  9. Bhateja, V., et al. (eds.): Information Systems Design and Intelligent Applications: Proceedings of Fourth International Conference INDIA 2017. vol. 672. Springer (2018)

    Google Scholar 

  10. https://electronicsclub.info/relays.htm

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Madhuri Gummineni .

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

Madhuri Gummineni, Shilpa Narlagiri, Sudha Rani Chidurala (2020). Design and Implementation of Green Ecological Supervision Using Raspberry Pi. In: Satapathy, S., Bhateja, V., Nguyen, B., Nguyen, N., Le, DN. (eds) Frontiers in Intelligent Computing: Theory and Applications. Advances in Intelligent Systems and Computing, vol 1014. Springer, Singapore. https://doi.org/10.1007/978-981-13-9920-6_24

Download citation

Publish with us

Policies and ethics