Qingdao University Researcher Adds New Study Findings to Research in Machine Lea rning (Integrating Meteorological and Remote Sensing Data to Simulate Cropland N octurnal Evapotranspiration Using Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Mar.19) ：116-117.DOI:10.3390/su16051987

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Qingdao University Researcher Adds New Study Findings to Research in Machine Lea rning (Integrating Meteorological and Remote Sensing Data to Simulate Cropland N octurnal Evapotranspiration Using Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from Qingdao, People’s Republ ic of China, by NewsRx journalists, research stated, “Evapotranspiration (ET) re presents a significant component of the global water flux cycle, yet nocturnal e vapotranspiration (ETn) is often neglected, leading to underestimation of global evapotranspiration.”

Key words

Qingdao University/Qingdao/People’s Re public of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing

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出版年

2024

Robotics & Machine Learning Daily News

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