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Precision Agriculture Using Advanced Technology of IoT, Unmanned Aerial Vehicle, Augmented Reality, and Machine Learning

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Smart Sensors for Industrial Internet of Things

Part of the book series: Internet of Things ((ITTCC))

Abstract

Agriculture is one of the primary processes for quality food production in the globe. Unfortunately, the productivity of agriculture is very low, and many factors affect the yield level of it. Precision agriculture (PA) is one of the solutions for the above problem. PA uses site-specific crop management concept based on measured data using sensors and data analytics to find the root cause of yield reduction. Precision agriculture automates farming which involves the collection of data and analysis of them for better decision-making to gain high yield and quality of the agricultural product. The agriculture system integrated with data analytics and machine learning is called as smart farming or smart agriculture The goal of smart agriculture is to develop a decision-making support system for farming management. The precision smart agriculture can be enhanced with the help of latest technologies of Internet of Technology (IoT), unmanned aerial vehicle (UAV), augmented reality (AR) system, and machine learning (ML) algorithms. This chapter focuses on the illustration and utilization of those advanced technologies for smart farming.

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Authors and Affiliations

  1. ECE Department, SRM Institute of Science & Technology, Kattankulathur, Tamil Nadu, India

    Vijayakumar Ponnusamy & Sowmya Natarajan

Authors
  1. Vijayakumar Ponnusamy
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  2. Sowmya Natarajan
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Correspondence to Vijayakumar Ponnusamy .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology GGSIP University, Delhi, India

    Deepak Gupta

  2. University of Fortaleza, UNIFOR, Fortaleza, Brazil

    Victor Hugo C. de Albuquerque

  3. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology GGSIP University, Delhi, India

    Ashish Khanna

  4. IILM Academy of Higher Learning-College of Engineering & Technology, Greater Noida, India

    Purnima Lala Mehta

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Ponnusamy, V., Natarajan, S. (2021). Precision Agriculture Using Advanced Technology of IoT, Unmanned Aerial Vehicle, Augmented Reality, and Machine Learning. In: Gupta, D., Hugo C. de Albuquerque, V., Khanna, A., Mehta, P.L. (eds) Smart Sensors for Industrial Internet of Things. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-52624-5_14

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  • DOI: https://doi.org/10.1007/978-3-030-52624-5_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-52623-8

  • Online ISBN: 978-3-030-52624-5

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