Shenyang University Researchers Describe Advances in Machine Learning (Predictio n of soil organic carbon and total nitrogen affected by mine using Vis-NIR spect roscopy coupled with machine learning algorithms in calcareous soils)
Shenyang University Researchers Describe Advances in Machine Learning (Predictio n of soil organic carbon and total nitrogen affected by mine using Vis-NIR spect roscopy coupled with machine learning algorithms in calcareous soils)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on artificial intelligence is the su bject of a new report. According to news reportingoriginating from Shenyang Uni versity by NewsRx correspondents, research stated, “The utilization ofvisible-n ear infrared (Vis-NIR) spectroscopy presents a nondestructive, fast, reliable an d cost-effectiveapproach to predicting total nitrogen (TN) and organic carbon ( OC) levels.”
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