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Big Data in Precision Agriculture Through ICT: Rainfall Prediction Using Neural Network Approach

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Proceedings of the International Congress on Information and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 438))

Abstract

Weather forecasting with detailed and time-based information gathering is essential for future farming. This paper gives an abstract idea about big data in precision agriculture and how it discovers insights from big precision agriculture data through information and communication technology (ICT) resources for future farming. We proposed an e-Agriculture model for the use of ICT services in agricultural environment for collecting big data. Big data analytics provides a new insight to give advance decision support, improve yield productivity, and avoid unnecessary costs related to harvesting, use of pesticide, and fertilizers. The paper lists out the different sources of big data and types in precision agriculture, ICT-based e-Agriculture model, its future applications, and challenges. Finally, we have discussed rainfall prediction application using supervised and unsupervised method for data processing and forecasting.

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Acknowledgments

The authors would like to thank KVR Rahuri for providing data and guidance for the study.

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Authors and Affiliations

  1. Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded, India

    M. R. Bendre, R. C. Thool & V. R. Thool

Authors
  1. M. R. Bendre
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  2. R. C. Thool
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  3. V. R. Thool
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Corresponding author

Correspondence to M. R. Bendre .

Editor information

Editors and Affiliations

  1. Dept of Comp Sci Engg, Anil Neerukonda Ins Tech & Sci, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. College of Technology and Engineering, Maharana Pratap Univer. of Agri. & Tech., Udaipur, Rajasthan, India

    Yogesh Chandra Bhatt

  3. Sabar Institute of Technology, Sabarkantha, Gujarat, India

    Amit Joshi

  4. Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

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© 2016 Springer Science+Business Media Singapore

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Bendre, M.R., Thool, R.C., Thool, V.R. (2016). Big Data in Precision Agriculture Through ICT: Rainfall Prediction Using Neural Network Approach. In: Satapathy, S., Bhatt, Y., Joshi, A., Mishra, D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 438. Springer, Singapore. https://doi.org/10.1007/978-981-10-0767-5_19

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  • DOI: https://doi.org/10.1007/978-981-10-0767-5_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0766-8

  • Online ISBN: 978-981-10-0767-5

  • eBook Packages: EngineeringEngineering (R0)

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