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Experimental Analysis of Internet of Technology-Enabled Smart Irrigation System

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Artificial Intelligence for Smart Healthcare

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

The agricultural field creates many job opportunities and acts as a significant funding source to maintain the country’s economy. There are many challenges to deal with in this field, and one of the most critical and significant challenges is water resources. This chapter introduces a new agricultural, environmental improvement strategy called cloud-enabled Smart Agri-Handling Strategy (CSAHS). The proposed model of the CSAHS system provides support to the farmers to monitor the crops anytime and anywhere in the globe and immediately alert the farmers in any case of emergency based on weather natures. In this chapter, the latest technology of the Internet of Things (IoT) is adapted to efficiently establish communication between agricultural farm smart land devices and the remote cloud server. The IoT enabling is handled employing a Wi-Fi-enabled ARM Controller called IoT-Web Module. It acts bi-directionally to collect the data from the smart sensors and receive data from the server for controlling the smart devices presented into the agricultural land. The Smart Device placed into the agricultural land consists of the following sensors: pH sensor, soil moisture sensor (SMS), rain sensor (RS), and temperature and humidity sensor (THS). This kind of agricultural system intelligently preserves water with the help of automation technologies by reverse controlling IoT-enabled motor pumps connected over the farmland. So, the water supplies to crops are excellent, and only a sufficient amount of water is supplied to the produce at the required time. For all, the entire working nature of CSAHS assures the agricultural environment such as improved performance, reduced human work, minimised delay, crop wastages, and immediate alerting to farmers regarding the natural weather conditions.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Srivilliputhur, Tamil Nadu, India

    R. Ramalakshmi

  2. Department of Computer Science and Engineering, GITAM – School of Technology, GITAM Deemed to be University, Bengaluru Campus, Bengaluru, India

    Ramachandran Veerachamy, C. Mageshkumar & Rajasekar Rangasamy

Authors
  1. Ramachandran Veerachamy
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  2. R. Ramalakshmi
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  3. C. Mageshkumar
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  4. Rajasekar Rangasamy
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Corresponding author

Correspondence to R. Ramalakshmi .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Jamia Hamdard, New Delhi, India

    Parul Agarwal

  2. Delhi Skill and Entrepreneurship University, Dwarka, Delhi, India

    Kavita Khanna

  3. Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef City, Egypt

    Ahmed A Elngar

  4. Faculty of Computer Science and Mathematics, University of Kufa, Najaf, Iraq

    Ahmed J. Obaid

  5. Jan Wyzykowski University, Polkowice, Poland

    Zdzislaw Polkowski

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Veerachamy, R., Ramalakshmi, R., Mageshkumar, C., Rangasamy, R. (2023). Experimental Analysis of Internet of Technology-Enabled Smart Irrigation System. In: Agarwal, P., Khanna, K., Elngar, A.A., Obaid, A.J., Polkowski, Z. (eds) Artificial Intelligence for Smart Healthcare. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-23602-0_9

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  • DOI: https://doi.org/10.1007/978-3-031-23602-0_9

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