首页|Findings from School of Resources & Safety Engineering Broaden Und erstanding of Machine Learning (Rapid Estimation of Soil Mn Content By Machine L earning and Soil Spectra In Large-scale)

Findings from School of Resources & Safety Engineering Broaden Und erstanding of Machine Learning (Rapid Estimation of Soil Mn Content By Machine L earning and Soil Spectra In Large-scale)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Changsha, People’s Republic o f China, by NewsRx correspondents, research stated, “Manganese (Mn) is an essent ial element in both plants and the human body; however, traditional methods for monitoring Mn in soil are costly and inefficient. As such, it is necessary to es tablish a model for environmental research uses that can accurately predict soil Mn content over large areas.” Financial support for this research came from High Performance Computing Center of Central South University.

ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningSchool of Resources & Safety Engineering

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.27)