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Impact of Machine Learning and Internet of Things in Agriculture: State of the Art

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Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) (SoCPaR 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 614))

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Abstract

Majority of the population are directly or indirectly dependent on agriculture. In this modern world, agriculture has to be supported with technology to bring the best output. There is a big revolution in agriculture from traditional methods. Recent development in technology has a great impact on agriculture. Evolution of Machine Learning (ML) and Internet of Things (IoT) has helped researchers to apply these techniques in agriculture to help farmers. This in turn helped farmers to increase the productivity, make use of maximum land available, control pest, and so on. This paper highlights the work done in agriculture sector using ML and IoT.

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Authors and Affiliations

  1. School of Computing Sciences, Hindustan Institute of Technology and Science, Chennai, India

    S. R. Juhi Reshma & Anitha S. Pillai

Authors
  1. S. R. Juhi Reshma
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  2. Anitha S. Pillai
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Correspondence to Anitha S. Pillai .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. VIT University, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. School of Engineering, Polytechnic of Porto (ISEP/IPP), Porto, Portugal

    Ana Maria Madureira

  4. Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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Juhi Reshma, S.R., Pillai, A.S. (2018). Impact of Machine Learning and Internet of Things in Agriculture: State of the Art. In: Abraham, A., Cherukuri, A., Madureira, A., Muda, A. (eds) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016). SoCPaR 2016. Advances in Intelligent Systems and Computing, vol 614. Springer, Cham. https://doi.org/10.1007/978-3-319-60618-7_59

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  • DOI: https://doi.org/10.1007/978-3-319-60618-7_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60617-0

  • Online ISBN: 978-3-319-60618-7

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