Researchers from University of Science and Technology China Report New Studies a nd Findings in the Area of Machine Learning (Identification Study of Soil Types Based On Feature Factors of Xrf Spectrum Combining With Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Aug.29) ：81-82.

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Researchers from University of Science and Technology China Report New Studies a nd Findings in the Area of Machine Learning (Identification Study of Soil Types Based On Feature Factors of Xrf Spectrum Combining With Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingfrom Anhui, People’s Republic of Chi na, by NewsRx journalists, research stated, “Soil type significantlyinfluences the detection accuracy of heavy metals using X-ray fluorescence (XRF) technology . Rapid andaccurate soil type identification is crucial for selecting appropria te XRF quantitative analysis methods forsoil heavy metals, thereby enhancing an alysis accuracy.”

Key words

Anhui/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Technology/University of Sci ence and Technology China

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出版年

2024

Robotics & Machine Learning Daily News

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