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Illinois researchers develop an AI model to reduce uncertainty in evapotranspiration prediction - EurekAlert
Evapotranspiration (ET) includes evaporation from soil and open water pools such as lakes, rivers, and ponds, as well as transpiration from plant leaves. The difference between precipitation and ET indicates the water balance available for societal needs, including agricultural and industrial production. However, measuring ET is challenging. A new study from the University of Illinois Urbana-Champaign presents a computer model that uses artificial intelligence (AI) for ET prediction based on remote sensing estimates.
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