IoT and RS Techniques for Enhancing Water Use Efficiency and Achieving Water Security

Yaseen A. Al-Mulla, Taif B. Al-Badi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Water security is among the key elements and necessary to maintain sustainability. The arid and hyper arid countries have natural water resources with limited water recharge capacity to support its present population on natural water and to reduce its water resources deficit. The water security can be attained by the implementation of the state of art modern means of water conservation practice especially in relation with irrigation which consumes 80% -90% of natural water resources. In this paper, the idea of the implementation of automation methods in achieving water security is covered through the control of the water supply to plants in optimal ways and reducing water wastage in farming by using automated closed loop controlled systems, Internet of Things (IoT) and Remote Sensing technology. This approach will not only conserve water but it will also facilitate and give the users freedom to control and monitor their farms irrigation remotely just by using smartphones, laptops, tablets and PCs.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Machine Learning and Machine Intelligence, MLMI 2021
PublisherAssociation for Computing Machinery
Pages83-88
Number of pages6
ISBN (Electronic)9781450384247
DOIs
Publication statusPublished - Sep 17 2021
Event4th International Conference on Machine Learning and Machine Intelligence, MLMI 2021 - Virtual, Online, China
Duration: Sep 17 2021Sep 19 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Machine Learning and Machine Intelligence, MLMI 2021
Country/TerritoryChina
CityVirtual, Online
Period9/17/219/19/21

Keywords

  • Instrumentation
  • Internet of Things
  • Remote Sensing
  • Water Security

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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