Abstract
Key TakeawaysTraditional drought risk measures can be unreliable and inefficient; machine learning can do better by learning from the data and establishing hidden connections and patterns.Machine learning models can help water systems determine their vulnerabilities to drought.Developing a machine learning model should be a collaborative process among data scientists, domain experts, and decision makers.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
