@inproceedings{a1bf8ee8a45646139362b8fd017663b2,
title = "IoT and RS Techniques for Enhancing Water Use Efficiency and Achieving Water Security",
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.",
keywords = "Instrumentation, Internet of Things, Remote Sensing, Water Security",
author = "{A. Al-Mulla}, Yaseen and {B. Al-Badi}, Taif",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 4th International Conference on Machine Learning and Machine Intelligence, MLMI 2021 ; Conference date: 17-09-2021 Through 19-09-2021",
year = "2021",
month = sep,
day = "17",
doi = "10.1145/3490725.3490738",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "83--88",
booktitle = "Proceedings of the 4th International Conference on Machine Learning and Machine Intelligence, MLMI 2021",
}