Energy Conservation with Intelligent Greenhouse Automation

  • Conference paper
  • First Online:
Advances in Microelectronics, Embedded Systems and IoT (ICMEET 2023)

Abstract

Greenhouse automation is the remote management and control of household appliances for energy consumption. Smart devices are used in smart greenhouse systems that are intended to enhance users’ lives by automating greenhouse security and safety and introducing extra features like remote greenhouse surveillance. This research proposed a greenhouse monitoring system with Internet of Things (IoT) to monitor energy consumption. The infrared (IR) sensor helps to identify the presence of human inside the greenhouse. NodeMCU in the proposed system helps in sending data/signal to ThingSpeak for the storage of information. The threshold value set on each appliance helps in energy consumption. During abnormal conditions in any of the greenhouse automation system, an alert is shared to the concerned person through Global System for Mobile communication (GSM) Module. A Blynk application developed helps in controlling the greenhouse appliance remotely. The monitoring and controlling temperature and soil moisture is provided accurately.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Arrahman R (2022) Rancang bangun pintu gerbang otomatis menggunakan arduino uno r3. Jurnal Portal Data 2(2)

    Google Scholar 

  2. Balasingam S, Zapiee MK, Mohana D (2022) Smart home automation system using IoT. Int J Recent Technol Appl Sci 4(1):44–53

    Article  Google Scholar 

  3. Brush AB, Lee B, Mahajan R, Agarwal S, Saroiu S, Dixon C (2011) Home automation in the wild: challenges and opportunities. In: Proceedings of the SIGCHI conference on human factors in computing systems, pp 2115–2124

    Google Scholar 

  4. Dixit AK, Nair RR, Babu T (2022) Analysis and classification of restaurants based on rating with xgboost model. In: 2022 3rd international conference on issues and challenges in intelligent computing techniques (ICICT). IEEE, pp 1–6

    Google Scholar 

  5. Fezari M, Al Dahoud A (2018) Integrated development environment “IDE” for arduino. WSN Appl, 1–12 (2018)

    Google Scholar 

  6. Gabriele T, Pantoli L, Stornelli V, Chiulli D, Muttillo M (2015) Smart power management system for home appliances and wellness based on wireless sensors network and mobile technology. In: 2015 XVIII AISEM annual conference. IEEE, pp 1–4

    Google Scholar 

  7. Gebhardt J, Massoth M, Weber S, Wiens T (2014) Ubiquitous smart home controlling raspberry embedded system. In: UBICOMM: the eighth international conference on mobile ubiquitous computing, systems, services and technologies

    Google Scholar 

  8. Gunge VS, Yalagi PS (2016) Smart home automation: a literature review. Int J Comput Appl 975(8887–8891)

    Google Scholar 

  9. Haarika R, Babu T, Nair RR, Rajesh T (2023) Breast cancer prediction using feature selection and classification with xgboost. In: 2023 international conference on recent trends in electronics and communication (ICRTEC). IEEE, pp 1–6

    Google Scholar 

  10. Kalunga J, Tembo S, Phiri J (2022) Incorporating environmental protection requirement in industrial IoT access control security using Arduino technology MQ2 and DHT11 sensor networks. Int J Adv Sci Res Eng 8(10.31695)

    Google Scholar 

  11. Lamine H, Abid H (2014) Remote control of a domestic equipment from an android application based on raspberry pi card. In: 2014 15th international conference on sciences and techniques of automatic control and computer engineering (STA). IEEE, pp 903–908

    Google Scholar 

  12. Manjushree R, Bhoomika D, Nair RR, Babu T (2022) Automated detection of diabetic retinopathy using deep learning in retinal fundus images: analysis. In: 2022 3rd international conference on communication, computing and industry 4.0 (C2I4). IEEE, pp 1–6

    Google Scholar 

  13. Muneeb M, Rustam H, Jalal A (2023) Automate appliances via gestures recognition for elderly living assistance. In: 2023 4th international conference on advancements in computational sciences (ICACS). IEEE, pp 1–6

    Google Scholar 

  14. Nair RR, Babu T, Kishore S (2023) Recent and emerging technologies in industrial IoT. In: Opportunities and challenges of industrial IoT in 5G and 6G networks, pp 50–72

    Google Scholar 

  15. Nair RR, Singh T (2021) MAMIF: multimodal adaptive medical image fusion based on B-spline registration and non-subsampled shearlet transform. Multime Tools Appl 80:19079–19105

    Article  Google Scholar 

  16. Pramanik M, Khanna M, Singh M, Singh D, Sudhishri S, Bhatia A, Ranjan R (2022) Automation of soil moisture sensor-based basin irrigation system. Smart Agric Technol 2:100032

    Article  Google Scholar 

  17. Rajesh T, Babu T, Nair RR, Nivedha S (2022) Secure remote health monitoring system and assessment using IoT. In: 2022 international conference on artificial intelligence and data engineering (AIDE). IEEE, pp 295–300

    Google Scholar 

  18. Ransing RS, Rajput M (2015) Smart home for elderly care, based on wireless sensor network. In: 2015 international conference on nascent technologies in the engineering field (ICNTE). IEEE, pp 1–5

    Google Scholar 

  19. Satheeskanth N, Marasinghe S, Rathnayaka R, Kunaraj A, Joy Mathavan J (2022) IoT-based integrated smart home automation system. In: Ubiquitous intelligent systems: proceedings of ICUIS 2021. Springer, pp 341–355

    Google Scholar 

  20. Sia HS (2023) IOT based home automation system. Ph.D. thesis, Tunku Abdul Rahman University College

    Google Scholar 

  21. Singh VP, Kumar MN, Misra MAK, Kuncha P (2023) IoT Communication protocols, vol 1. GCS Publishers

    Google Scholar 

  22. Stipanicev D, Marasovic J (2003) Networked embedded greenhouse monitoring and control. In: Proceedings of 2003 IEEE conference on control applications, 2003 (CCA 2003), vol 2. IEEE, pp 1350–1355

    Google Scholar 

  23. Young F, Mason R, Morris R, Stuart S, Godfrey A (2023) Internet-of-things-enabled markerless running gait assessment from a single smartphone camera. Sensors 23(2):696

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rekha R. Nair .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nair, R.R., Babu, T., Sindhu, S., Kishore, S. (2024). Energy Conservation with Intelligent Greenhouse Automation. In: Chakravarthy, V.V.S.S.S., Bhateja, V., Anguera, J., Urooj, S., Ghosh, A. (eds) Advances in Microelectronics, Embedded Systems and IoT. ICMEET 2023. Lecture Notes in Electrical Engineering, vol 1156. Springer, Singapore. https://doi.org/10.1007/978-981-97-0767-6_28

Download citation

  • DOI: https://doi.org/10.1007/978-981-97-0767-6_28

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0766-9

  • Online ISBN: 978-981-97-0767-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Navigation