Mohammed Ⅵ Polytechnic University (UM6P) Researchers Update Current Data on Machine Learning (Are raw satellite bands and machine learning all you need to retrieve actual evapotranspiration?)

Robotics & Machine Learning Daily News2024，Issue(Feb.27) ：22-23.DOI:10.1051/e3sconf/202448904019

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Mohammed Ⅵ Polytechnic University (UM6P) Researchers Update Current Data on Machine Learning (Are raw satellite bands and machine learning all you need to retrieve actual evapotranspiration?)

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Abstract

2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligence is the subject of a new report. According to news reporting originating from Mohammed Ⅵ Polytechnic University (UM6P) by NewsRx correspondents, research stated, “Accurately estimating latent heat flux (LE) is crucial for achieving efficiency in irrigation. It is a fundamental component in determining the actual evapotranspiration (ETa), which in turn, quantifies the amount of water lost that needs to be adequately compensated through irrigation.”

Key words

Mohammed Ⅵ Polytechnic University (UM6P)/Cyborgs/Emerg- ing Technologies/Machine Learning/Remote Sensing

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出版年

2024

Robotics & Machine Learning Daily News

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