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A Smart Farm – An Introduction to IoT for Generation Z

  • Lakshmi PrayagaEmail author
  • Chandra Prayaga
  • Aaron Wade
  • Andrew Hart
Conference paper
  • 41 Downloads
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 49)

Abstract

This paper describes an Internet of Things (IoT) project within the context of an inexpensive table top model of a smart farm. The purpose of the project is to use advances in technology including Bluetooth, the Internet and micro sensors to design an inexpensive model of a smart farm. The project brings ideas related to IoT and smart cities within the reach of a common man. Advances in technology and simplicity of high level programming languages make it also possible for anyone who is interested to easily build a smart connected system that can be communicated with, using inexpensive components and a simple program. This project demonstrates one such novel application of a smart farm with the use of a microbit, a humidity sensor and WiFi to monitor moisture levels of plants and depending on a set threshold the program sends an appropriate message to the owner of the plants. The use of a very simple microcontroller (the microbit) makes the project accessible to students at college and even school level. This technology is not only scalable, but it is also expandable to other domains, such as inventory management, power systems, etc. This project has broad applicability and fits in with the recent trends in resource planning and allocations.

Keywords

Internet of Things Automation Smart device Smart farm 

Notes

Compliance with Ethical Standards

All author states that there is no conflict of interest.

Humans/Animals are not involved in this work

We used our own data.

Informed consent was obtained from all individual participants included in the study.

References

  1. 1.
    Siddiqui, N., Mishra, S.: Exploring the newbies: a comparative study of Gen Y and Gen Z. In: People Management in 21st Century Practices and Challenges, pp. 205–225, August 2018Google Scholar
  2. 2.
    Schwieger, D., Ladwig, C.: Reaching and retaining the next generation: adapting to the expectations of Gen Z in the classroom. Inf. Syst. Educ. J. 16(3), 45 (2018). https://files.eric.ed.gov/fulltext/EJ1179303.pdfGoogle Scholar
  3. 3.
    Adobe: Gen Z in the Classroom: Creating the Future. Adobe Education Creativity Study (2016). http://www.adobeeducate.com/genz. Accessed 10 June 2017
  4. 4.
    Merriman, M., Valerio, D.: One tough customer: how Gen Z is challenging the competitive landscape and redefining omnichannel. Ernst & Young Report (2016). http://www.ey.com/Publication/vwLUAssets/EY-one-tough-customer/$FILE/EY-onetough-customer.pdf. Accessed 28 Apr 2017
  5. 5.
    Videnovik, M., Zdravevski, E., Lameski, P., Trajkovik, V.: The BBC micro:bit in the international classroom: learning experiences and first impressions. https://ieeexplore.ieee.org/document/8424786
  6. 6.
    Ismagilova, E., Hughes, L., Dwivedi, Y.K., et al.: Smart cities: advances in research - an information systems perspective. Int. J. Inf. Manage. 47, 88–100 (2019)CrossRefGoogle Scholar
  7. 7.
  8. 8.
    Kumar, R.P., Smys, S.: A novel report on architecture, protocols and applications in Internet of Things (IoT). In: 2018 2nd International Conference on Inventive Systems and Control (ICISC), pp. 1156–1161 (2018)Google Scholar
  9. 9.
    Walter, A., Finger, R., Huber, R., Buchmann, N.: Opinion: smart farming is key to developing sustainable agriculture. Proc. Nat. Acad. Sci. USA 114(24), 6148–6150 (2017). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5474773/CrossRefGoogle Scholar
  10. 10.
    Kodali, R., Nimmanapalli, K., Jyothirmay, S.: Micro:bit Based Irrigation mintoring. https://ieeexplore.ieee.org/abstract/document/8777721
  11. 11.
    Trivedi, D., Khade, A., Jain, K., Jadhav, R.: SPI to I2C protocol conversion using verilog. https://ieeexplore.ieee.org/document/8697415
  12. 12.
    Jindarat, S., Wuttidittachotti, P.: Smart farm monitoring using Raspberry Pi and Arduino (April 2015). https://ieeexplore.ieee.org/document/7219582
  13. 13.
    Sharma, P., Padole, D.V.: Design and implementation soil analyser using IoT (March 2017). https://ieeexplore.ieee.org/document/8697415
  14. 14.
    Lekic, M., Garasevic, G., IoT sensor integration to Node-RED platform. https://ieeexplore.ieee.org/document/8345544
  15. 15.
    Nerukar, U.: Web User Interface Design, Forgotten Lessons. https://ieeexplore.ieee.org/document/8345544

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Lakshmi Prayaga
    • 1
    Email author
  • Chandra Prayaga
    • 1
  • Aaron Wade
    • 1
  • Andrew Hart
    • 1
  1. 1.University of West FloridaPensacolaUSA

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