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Internet of Things-Enabled Irrigation System in Precision Agriculture

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Intelligent Data Engineering and Analytics (FICTA 2022)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 327))

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Abstract

Internet of Things (IoT) plays a very important role in increasing productivity and in achieving the success in the activity and practice of agriculture in many countries. The main purpose of using IoT in agriculture is that we can control water supplies in agriculture field without any wastage by using IoT sensors and can monitor the agriculture field continuously. IoT-enabled precision agriculture helps the farmers to take suitable precaution in case of any damage and diseases in the crops and plants. It monitors the growth of crop through IoT sensors that sense the various agricultural parameters such as pH of soil, its temperature, moisture content, etc., so that farmers can sow the seeds accordingly. This paper discusses the precision agriculture using Internet of Things. The paper also presents a case study of irrigation system that senses the agricultural parameters and waters the agricultural fields automatically. This paper further discusses the other applications of precision agriculture and possible challenges faced in precision agriculture.

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Author information

Authors and Affiliations

  1. Department of Information Technology, National Institute of Technology Srinagar, Hazratbal, Kashmir, Jammu and Kashmir, India

    Shabir A. Sofi

  2. Department of Computer Science, University of Kashmir, Hazratbal, Kashmir, Jammu and Kashmir, India

    Saniya Zahoor

Authors
  1. Shabir A. Sofi
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  2. Saniya Zahoor
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Corresponding author

Correspondence to Shabir A. Sofi .

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Editors and Affiliations

  1. Department of Electronics Engineering, Faculty of Engineering and Technology, Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India

    Vikrant Bhateja

  2. School of Science and Technology, Middlesex University London, London, UK

    **n-She Yang

  3. Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  4. Department of Computer Science and Engineering, National Institute of Technology Agartala, Agartala, West Tripura, India

    Ranjita Das

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Sofi, S.A., Zahoor, S. (2023). Internet of Things-Enabled Irrigation System in Precision Agriculture. In: Bhateja, V., Yang, XS., Chun-Wei Lin, J., Das, R. (eds) Intelligent Data Engineering and Analytics. FICTA 2022. Smart Innovation, Systems and Technologies, vol 327. Springer, Singapore. https://doi.org/10.1007/978-981-19-7524-0_18

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