Robotics & Machine Learning Daily News2024,Issue(Jun.10) :54-55.

Researchers from Zhejiang University Provide Details of New Studies and Findings in the Area of Machine Learning [European Topsoil Bulk Densi ty and Organic Carbon Stock Database (0-20 Cm ) Using Machine-learning-based Ped otransfer Functions]

浙江大学的研究人员提供了机器学习领域的新研究和发现的细节[使用基于机器学习的Ped传递函数的欧洲表土容重和有机碳储备数据库(0-20 Cm)]

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :54-55.

Researchers from Zhejiang University Provide Details of New Studies and Findings in the Area of Machine Learning [European Topsoil Bulk Densi ty and Organic Carbon Stock Database (0-20 Cm ) Using Machine-learning-based Ped otransfer Functions]

浙江大学的研究人员提供了机器学习领域的新研究和发现的细节[使用基于机器学习的Ped传递函数的欧洲表土容重和有机碳储备数据库(0-20 Cm)]

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摘要

由新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-详细的机器学习数据已经呈现。根据NewsRx记者在中国杭州的新闻报道,研究表明:“土壤容重(BD)是土壤健康和质量的基本指标,对植物生长、养分有效性和水分保留等关键因素有重要影响。由于土壤数据库中土壤容重的可用性有限,PEDO传递函数(PTFs)的应用已经成为利用其他容易测量的土壤性质预测BD的有力工具,而这些PTF的性能对土壤有机碳(SOC)储量计算的影响很少被阐明。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Soil bulk density (BD) serves a s a fundamental indicator of soil health and quality, exerting a significant inf luence on critical factors such as plant growth, nutrient availability, and wate r retention. Due to its limited availability in soil databases, the application of pedotransfer functions (PTFs) has emerged as a potent tool for predicting BD using other easily measurable soil properties, while the impact of these PTFs’ p erformance on soil organic carbon (SOC) stock calculation has been rarely explor ed.”

Key words

Hangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Zhejiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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