An Integrated Expert Water Management (IEWM) With IoT
Yasir Ahmed Taha AL-Zubaidi1, Hayder Kareem Al-gabri2, S.S.Gaikwad3, R.K.Kamat4
1Yasir Ahmed Taha AL-Zubaidi*, Department Of Computer Science, Shivaji University, Kolhapur (Maharashtra ), India.
2Hayder Kareem Al-Gabri, Department Of Computer Science, Shivaji University, Kolhapur (Maharashtra ), India.
3Dr.S.S.Gaikwad, M.Sc. Ph.D. Department Of Computer Science, Shivaji University, Kolhapur (Maharashtra ), India.
4Prof. Dr. R.K.Kamat, M.Sc., Ph.D, Head Of Department Computer Science, Shivaji University, Kolhapur (Maharashtra ), India.
Manuscript received on November 12, 2019. | Revised Manuscript received on 24 November, 2019. | Manuscript published on December 10, 2019. | PP: 3835-3839 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7269129219/2019©BEIESP | DOI: 10.35940/ijitee.B7269.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Water is the most widely used by all the beings present in the world. Management of water is very crucial for people to organise the water resources. Now a day’s water resources are becoming more difficult to get from various sources. Water management with IOT is used in many applications such as water tanks, agriculture and other water management places to maintain the water levels constantly. Artificial Intelligence (AI) is most widely used for various types of water management resources. Many AI algorithms are used in daily life with the integration of IOT. In this paper, an Integrated Expert Water Management (IEWM) system adopted with IOT and AI algorithms are used to develop to maintain the usage of water resources in various applications. Results show the performance of the IWM.
Keywords: IOT, AI, Agriculture, Water Management.
Scope of the Article: IOT