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Smart Solar Energy Based Irrigation System with GSM

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Advances in Data Science (ICIIT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 941))

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Abstract

A solar energy based Smart irrigation system has been proposed. The agricultural land is monitored with the help of three sensors and irrigation is automated with the help of Microcontroller. The status of the irrigation of the particular land is intimated to the users Mobile using GSM Technique. By using this irrigation system, resources like water and Electricity can be conservatively used with increase in irrigation efficiency, and reduction in labour cost.

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Author information

Authors and Affiliations

  1. Department of E.E.E., Sathyabama University, Chennai, India

    C. Bhuvaneswari & S. M. Shyni

  2. Department of E.C.E., Vidya Jyothi Institute of Technology, Hyderabad, India

    K. Vasanth

  3. Department of E.C.E., Jeppiaar Maamallan Engineering College, Kanchipuram, India

    S. Saravanan

Authors
  1. C. Bhuvaneswari
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  2. K. Vasanth
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  3. S. M. Shyni
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  4. S. Saravanan
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Corresponding author

Correspondence to S. Saravanan .

Editor information

Editors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, PA, USA

    Leman Akoglu

  2. University of Southern California, Marina Del Rey, CA, USA

    Emilio Ferrara

  3. CEG, Anna University, Chennai, India

    Mallayya Deivamani

  4. Northeastern University at Silicon Valley, San Jose, CA, USA

    Ricardo Baeza-Yates

  5. Anna University, Chennai, India

    Palanisamy Yogesh

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Bhuvaneswari, C., Vasanth, K., Shyni, S.M., Saravanan, S. (2019). Smart Solar Energy Based Irrigation System with GSM. In: Akoglu, L., Ferrara, E., Deivamani, M., Baeza-Yates, R., Yogesh, P. (eds) Advances in Data Science. ICIIT 2018. Communications in Computer and Information Science, vol 941. Springer, Singapore. https://doi.org/10.1007/978-981-13-3582-2_6

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  • DOI: https://doi.org/10.1007/978-981-13-3582-2_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3581-5

  • Online ISBN: 978-981-13-3582-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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