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International conference on Computer Networks, Big data and IoT

ICCBI 2019: Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019) pp 348–355Cite as

AgroFarming - An IoT Based Approach for Smart Hydroponic Farming

Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT,volume 49)

Abstract

With world temperatures on the rise and climate change appears as a major factor affecting food production the traditional agriculture techniques may not be the answer to the ever increasing food demand across the globe. One of the key solutions to combat these problems is hydroponics. A lot of research has been done on varied solutions offered by smart hydroponics. A comparative study of the different solutions has not yet been documented. This paper aims to provide a critical review of the current hydroponic systems considering various parameters such as energy efficiency, cost, and type of design. Some of the solutions are PlantTalk Robot Farm and MircoCEA are discussed here.

Keywords

  • Hydroponics
  • Smart farming
  • Sensors
  • Mobile
  • IoT

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Authors and Affiliations

  1. Mukesh Patel School of Technology Management and Engineering, NMIMS (Deemed to be University), Mumbai, India

    Aashray Mody & Rejo Mathew

Authors
  1. Aashray Mody
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  2. Rejo Mathew
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Corresponding author

Correspondence to Aashray Mody .

Editor information

Editors and Affiliations

  1. Department of CSE, Vaigai College of Engineering, Melur, Tamil Nadu, India

    Dr. A. Pasumpon Pandian

  2. Department of Business Administration, The Gerald Schwartz School of Business, StFX University, Antigonish, NS, Canada

    Prof. Dr. Ram Palanisamy

  3. Electrical and Computer Engineering, University of Applied Sciences, Egaleo, Attiki, Greece

    Dr. Klimis Ntalianis

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Mody, A., Mathew, R. (2020). AgroFarming - An IoT Based Approach for Smart Hydroponic Farming. In: Pandian, A., Palanisamy, R., Ntalianis, K. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019). ICCBI 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-030-43192-1_40

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