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International Conference on Wireless Intelligent and Distributed Environment for Communication

WIDECOM 2018: 2nd International Conference on Wireless Intelligent and Distributed Environment for Communication pp 167–181Cite as

CESIS: Cost-Effective and Self-Regulating Irrigation System

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 27))

Abstract

We propose CESIS (Cost-Effective and Self-regulating Irrigation System) in this chapter. The focus of our work is on reducing the wastage of water as India being an agriculture-aligned country, water is the most significant resource. It is a challenge to save water as this resource is getting depleted with time. Therefore, we need a smart and effective system to handle the process of water irrigation. In this chapter, we propose CESIS that uses moisture sensors to sense the moisture level of the soil (agricultural field) and supplies water based on the requirement automatically. The CESIS is an IoT (Internet of Things)-related design that governs the water supply to the farm requiring irrigation. The sensors are connected to NodeMCU which sends moisture level data to Raspberry Pi in a wireless manner using MQTT protocol. When the soil of the farm gets dry, moisture sensors sense the same and Raspberry Pi automatically sends the signal to turn the motor ON. We have kept a threshold for the water level and as soon as it is reached, Raspberry Pi and NodeMCU take the control and maintain water level accordingly. How the IoT devices like Raspberry Pi and NodeMCU are used to govern the process of water supply in the rural areas is described through our work. The experimental results of CESIS show how the all-important resource water is saved by automatic governance of water irrigation. We also propose a CESIS variant that is more cost effective.

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Authors and Affiliations

  1. Chotubhai Gopalbhai Patel Institute of Technology, Uka Tarsadia University, Bardoli, India

    Kaushal A. Shah, Meet Patel, Monil Khasakiya, Saad Kazi & Pinkesh Khalasi

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  1. Kaushal A. Shah
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  2. Meet Patel
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  3. Monil Khasakiya
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Editors and Affiliations

  1. Department of Computer Science, Ryerson University, Toronto, ON, Canada

    Isaac Woungang

  2. CAITFS, Department of Information Technology, Netaji Subhas University of Technology, New Delhi, India

    Sanjay Kumar Dhurandher

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Shah, K.A., Patel, M., Khasakiya, M., Kazi, S., Khalasi, P. (2019). CESIS: Cost-Effective and Self-Regulating Irrigation System. In: Woungang, I., Dhurandher, S. (eds) 2nd International Conference on Wireless Intelligent and Distributed Environment for Communication. WIDECOM 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-030-11437-4_13

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  • DOI: https://doi.org/10.1007/978-3-030-11437-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11436-7

  • Online ISBN: 978-3-030-11437-4

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