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Agro Advisory System Using Big Data Analytics

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Inventive Communication and Computational Technologies

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 145))

Abstract

From past decades, agriculture is remaining as a primary source of food and raw materials for human lives. Recently, the agriculture field is greatly influenced by technologies like big data and automated decision-making systems to deploy an efficient way to farm. Most of the agriculture-related data come from diverse varieties of information sources and networks. The objective of the system is to aid farmers and agriculture experts through a user-friendly website. The data is processed using the Hadoop framework, the results of which are displayed on the website by using a Tableau visualization tool. The ideology consists of data about farming and related aspects. The system has been designed by considering agriculture in India.

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Authors and Affiliations

  1. St. Francis Institute of Technology, Borivali, Mumbai, India

    Nazneen Ansari, Siddhi Martal, Namratha Bhat & Sohan Pawar

Authors
  1. Nazneen Ansari
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  2. Siddhi Martal
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  3. Namratha Bhat
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  4. Sohan Pawar
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Corresponding author

Correspondence to Sohan Pawar .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India

    G. Ranganathan

  2. Department of Electrical Engineering, Dayeh University, Changhua, Taiwan

    Joy Chen

  3. Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Álvaro Rocha

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Ansari, N., Martal, S., Bhat, N., Pawar, S. (2021). Agro Advisory System Using Big Data Analytics. In: Ranganathan, G., Chen, J., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-15-7345-3_8

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  • DOI: https://doi.org/10.1007/978-981-15-7345-3_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7344-6

  • Online ISBN: 978-981-15-7345-3

  • eBook Packages: EngineeringEngineering (R0)

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