首页|Harran University Researcher Highlights Research in Machine Learning (Machine Le arning-Based Classification of Soil Parent Materials Using Elemental Concentrati on and Vis-NIR Data)
Harran University Researcher Highlights Research in Machine Learning (Machine Le arning-Based Classification of Soil Parent Materials Using Elemental Concentrati on and Vis-NIR Data)
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
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom Harran University by New sRx journalists, research stated, “In soil science, the allocation of soil samples to their respective origins holds paramount significance, as it serves as a c rucial investigative tool. Inrecent times, with the increasing use of proximal sensing and advancements in machine-learning techniques,new approaches have acc ompanied these developments, enhancing the effectiveness of soil utilization insoil science.”
NETL
NSTL
