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Environmental News Network - Improved AI Process Could Better Predict Water Supplies

Environmental News Network - Improved AI Process Could Better Predict Water Supplies
enn.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from enn.com Daily Mail and Mail on Sunday newspapers.

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Improved AI Process Could Better Predict Water Supplies

Improved AI Process Could Better Predict Water Supplies
wateronline.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from wateronline.com Daily Mail and Mail on Sunday newspapers.

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Improved AI process could better predict wate

<p>A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers predict water availability from areas in the West where snow amounts aren&rsquo;t being physically measured. Comparing their results to measurements from more than 300 snow measuring stations in the Western U.S., they showed that their model outperformed other models that use the AI process known as machine learning. Previous models focused on time-related measures, taking data at different time points from only a few locations. The improved model uses both time and space into account, resulting in more accurate predictions. &nbsp;</p>

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Improved AI process could better predict water supplies

Improved AI process could better predict water supplies
sciencedaily.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from sciencedaily.com Daily Mail and Mail on Sunday newspapers.

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Krishu-thapa
Kirti-rajagopalan
Ai-institute-for-transforming-workforce
Department-of-biological-systems-engineering
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Washington-state-university
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Transforming-workforce
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Hackathon aims to solve agriculture challenges – WSU Insider

A total of 32 teams from WSU, Oregon State University, University of Virginia, Virginia Tech and University of California, Merced participated in the event, which was sponsored by the AgAID Institute, and held in partnership with Microsoft and innov8.ag.

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Muluh
Nicholas-kraabel

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