首页|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?)

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?)

扫码查看
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.”

Mohammed Ⅵ Polytechnic University (UM6P)CyborgsEmerg- ing TechnologiesMachine LearningRemote Sensing

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.27)