Advertisement

Design and Development of IoT-Based Framework for Indian Aquaculture

  • Zeenat ShareefEmail author
  • S. R. N. Reddy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 989)

Abstract

Aquaculture, in addition to agriculture is one of the most sought after occupations for the people of coastal regions of India. These farmers depend on the yield generated from aquaculture farming for their livelihood. However, due to various environmental as well as social factors, the water quality in these farms deteriorates and leads to untimely death of fishes. Such a scenario leads to heavy losses to the farmers. These farmers follow traditional approaches in measuring water quality which is time-consuming and inefficient. They are unable to get any warnings to take measures to save their fishes from getting deteriorated. This paper presents design and development of an Internet of Things(IoT)-based framework which measures water quality in aquaculture farms and provides alerts to the farmers so that they can take necessary precautions and save themselves from hefty losses.

Keywords

Aquaculture Internet of things Mobile application Water quality Wireless sensor network 

Notes

Acknowledgements

We would like to thank our collaborators at SRKR Engineering College, Bhimavaram for providing us with initial support for performing survey and case studies. We have all necessary permissions from participants for publishing this study. We would also like to extend our heartfelt thanks to Intel and DIC [MHRD] for providing prototyping platform to carry out our experiments.

References

  1. 1.
    Bagchi, A., Jha, P.: Fish and fisheries in indian heritage and development of pisciculture in India. Rev. Fish. Sci. 19(2), 85–118 (2011)CrossRefGoogle Scholar
  2. 2.
    Jana, B., Jana, S.: The potential and sustainability of aquaculture in India. J. Appl. Aquac. 13(3–4), 283–316 (2003)CrossRefGoogle Scholar
  3. 3.
    Valderrama, D., Iyemperumal, S., Krishnan, M.: Building consensus for sustainable development in aquaculture: a delphi study of better management practices for shrimp farming in India. Aquac. Econ. Manag. 18(4), 369–394 (2014)CrossRefGoogle Scholar
  4. 4.
    Gopakuma, K.: Indian aquaculture. J. Appl. Aquac. 13(1–2), 1–10 (2003) (Tailor & Francis)Google Scholar
  5. 5.
    Gupta, N., Bower, S.D., Raghavan, R., Danylchuk, A.J., Cooke, S.J.: Status of recreational fisheries in India: development, issues, and opportunities. Rev. Fish. Sci. Aquac. 23(3), 291–301 (2015)CrossRefGoogle Scholar
  6. 6.
    Fisheries and aquaculture department. http://www.fao.org/fishery/countrysector/naso_india/en
  7. 7.
    Penmetsa, A.R.K.R., Muppidi, S., Popuri, R., Golla, S.B., Tenneti, R.: Aquaculture and its impact on ground water in East Godavari District Andhra Pradesh, India–a case study. Int. Res. J. Environ. Sci. 2(10), 101–106 (2013). ISSN 2319–1414Google Scholar
  8. 8.
    Penmetsa, A., Muppidi, S.R., Popuri, R., Golla, S.B., Tenneti, R.: Impact of aquaculture on physico-chemical characteristics of water and soils in the coastal tracts of East and West Godavari Districts, Andhra Pradesh, India. Int. J. Eng. Trends Technol. (IJETT) 6(6) (2013)Google Scholar
  9. 9.
    Churkina, G.: Modeling the carbon cycle of urban systems. Ecol. Model. 216, 107–113 (2008)CrossRefGoogle Scholar
  10. 10.
    Silvani, X., Morandini, F., Innocenti, E.: Evaluation of a wireless sensor network with low cost and low energy consumption for fire detection and monitoring. Springer Science + Business Media New York, Manufactured in the United States (2014).  https://doi.org/10.1007/s10694-014-0439-9CrossRefGoogle Scholar
  11. 11.
  12. 12.
    Vijayakumar, N., Ramya, R.: The real time monitoring of water quality in IoT environment. In: IEEE Sponsored 2nd International Conference in Information, Embedded and Communication Systems (2015)Google Scholar
  13. 13.
    Zhao, Yu., Sun, L., Li, M.-F.: The research about detection of dissolved oxygen in water based on C8051F040. In: International Conference on Information Engineering and Computer Science (2009).  https://doi.org/10.1109/iciecs.2009.5363610
  14. 14.
    Arima, M., Asahi, T.: Development of an autonomous surface station for underwater passive acoustic observation of marine mammals. In: OCEANS 2016–ShanghaiGoogle Scholar
  15. 15.
    Theofanis, L., Panayiotou, G., Anastasiou, C.: A low-cost system for real time monitoring and assessment of potable water quality at consumer sites. In: 2012 IEEE Sensors, pp. 1–4 (2012)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringIndira Gandhi Delhi Technical University for WomenDelhiIndia
  2. 2.Department of Computer Science and EngineeringIndira Gandhi Delhi Technical University for WomenDelhiIndia

Personalised recommendations