Robotics & Machine Learning Daily News2024,Issue(Nov.20) :65-66.

Investigators from Taiyuan University of Technology Report New Data on Machine L earning (Investigating the Mechanisms Impacting Soil Ca, Mg, and Na In Wastewate r Land Application Systems Using Machine Learning Models)

太原理工大学的研究人员报告了机器学习的新数据(利用机器学习模型研究废水土地应用系统中影响土壤钙、镁和钠的机制)

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :65-66.

Investigators from Taiyuan University of Technology Report New Data on Machine L earning (Investigating the Mechanisms Impacting Soil Ca, Mg, and Na In Wastewate r Land Application Systems Using Machine Learning Models)

太原理工大学的研究人员报告了机器学习的新数据(利用机器学习模型研究废水土地应用系统中影响土壤钙、镁和钠的机制)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍机器学习中的新数据。根据新闻报道来自中国山西的NewsRx记者,研究称:“废水处理”土地利用是解决全球水危机,特别是干旱和干旱地区水资源危机的一个广泛接受的解决方案半干旱地区土壤钙、镁、钠积累,导致土壤退化。摘要本研究旨在探讨土壤钙、镁、钠对土壤钙、镁、钠的影响机制使用基于树的机器学习模型的废水土地应用系统"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news reporting originatingfrom Shanxi, People’s Republi c of China, by NewsRx correspondents, research stated, “Wastewaterland applicat ion is a widely accepted solution for addressing global water crisis, particular ly in arid andsemiarid regions, but it may cause soil Ca, Mg, and Na accumulati on and result in soil degradation. Theobjective of this study was to investigat e the underlying mechanisms impacting soil Ca, Mg, and Na inwastewater land app lication systems using tree-based machine learning models.”

Key words

Shanxi/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Taiyuan University of Techno logy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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