Forecasting Weather and Water Management Through Machine Learning

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Author(s): Inzimam Ul Hassan (Vivekananda Global University, India), Zeeshan Ahmad Lone (Vivekananda Global University, India), Swati Swati (Lovely Professional University, India)and Aya Gamal (Damietta University, Egypt)
Copyright: 2024
Pages: 23
Source title: Innovations in Machine Learning and IoT for Water Management
Source Author(s)/Editor(s): Abhishek Kumar (Chandigarh University, India), Arun Lal Srivastav (Chitkara University, India), Ashutosh Kumar Dubey (University of Castilla-La Mancha, Spain), Vishal Dutt (AVN Innovations Pvt. Ltd., India)and Narayan Vyas (AVN Innovations Pvt. Ltd., India)
DOI: 10.4018/979-8-3693-1194-3.ch004

Keywords: Artificial Intelligence / Environment & Agriculture / Hydraulics & Water Engineering / Information Science Reference

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Abstract

A useful tool for making data-driven decisions is machine learning. Numerous issues, such as those pertaining to weather forecasting and water management, can be resolved using it. Machine learning may be applied to water management to optimise water distribution, anticipate floods and droughts, and predict water demand. Machine learning may be used to track storms, anticipate weather trends, and provide early warnings. The most recent developments in machine learning for weather forecasting and water management will be reviewed in this chapter. It will cover the potential and difficulties of applying machine learning to various domains and offer illustrations of effective uses.

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