首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Mdpi
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.”
Qingdao UniversityQingdaoPeople’s Re public of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRemote Sensing
NETL
NSTL
Mdpi
