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Precision Agriculture System Design Using Wireless Sensor Network

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Information and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 625))

Abstract

This paper presents design of precision agriculture system infrastructure aiming at a multi-parameter monitoring system using wireless sensor network. Proposed infrastructure is based on low-power Intel’s Galileo Gen-2 platform for monitoring, controlling and decision-making support using Internet of Things (IoT). Collection of different farm field parameters is to be done using sensor nodes deployed in the farmland. Each node is connected wirelessly to the base station for the collection of data using wireless transreciever hardware platform. Data is then fed to the personal computer and displayed on screen, e.g. temperature, humidity, sprinkler water flow and soil moisture. From the collected data, decision-making and controlling action can be taken by the use of Internet of Things.

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Authors and Affiliations

  1. STC, School of Engineering & Research Technology, Shegaon, Maharashtra, India

    Arun M. Patokar

  2. MAEEER’s Maharashtra Institute of Technology Pune, Pune, Maharashtra, India

    Vinaya V. Gohokar

Authors
  1. Arun M. Patokar
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  2. Vinaya V. Gohokar
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Corresponding author

Correspondence to Arun M. Patokar .

Editor information

Editors and Affiliations

  1. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology Microsoft Innovation Centre, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  2. Faculty of Computers and Information, Banha University Faculty of Computers and Information, Banha, Egypt

    Ahmad Taher Azar

  3. Sabar Institute of Technology, Asst. Prof., Dept. of Info. Tech. Sabar Institute of Technology, Gujarat, Gujarat, India

    Amit Joshi

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© 2018 Springer Nature Singapore Pte Ltd.

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Patokar, A.M., Gohokar, V.V. (2018). Precision Agriculture System Design Using Wireless Sensor Network. In: Mishra, D., Azar, A., Joshi, A. (eds) Information and Communication Technology . Advances in Intelligent Systems and Computing, vol 625. Springer, Singapore. https://doi.org/10.1007/978-981-10-5508-9_16

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  • DOI: https://doi.org/10.1007/978-981-10-5508-9_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5507-2

  • Online ISBN: 978-981-10-5508-9

  • eBook Packages: EngineeringEngineering (R0)

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