Research Conducted at Chinese Academy of Sciences Has Provided New Information a bout Machine Learning (An Effective Global Biochar Application Strategy for Redu cing Global Cropland Nitrogen Emissions Without Compromising Crop Yield: Finding s ...)

中国科学院的研究为机器学习提供了新的信息(一种在不影响作物产量的情况下减少全球农田氮排放的有效的全球生物炭应用策略:发现s ...)

Robotics & Machine Learning Daily News2024，Issue(Jun.20) ：71-72.

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Research Conducted at Chinese Academy of Sciences Has Provided New Information a bout Machine Learning (An Effective Global Biochar Application Strategy for Redu cing Global Cropland Nitrogen Emissions Without Compromising Crop Yield: Finding s ...)

中国科学院的研究为机器学习提供了新的信息(一种在不影响作物产量的情况下减少全球农田氮排放的有效的全球生物炭应用策略:发现s ...)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。根据NewsRx记者从中国成都发回的新闻报道，研究表明：“生物炭主要用于减少全球农田中的氮(N)排放，但由于土壤性质、气候条件等外部因素的空间差异，以及生物炭的pH和碳含量等特征，其有效性有所不同。”本研究的资助单位包括国家自然科学基金(NSFC)、中国科学院西部光青年项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating in Chengdu, Peopl e's Republic of China, by NewsRx journalists, research stated, "Biochar is widel y used to mitigate nitrogen (N) emissions in global croplands. However, its effe ctiveness varies due to spatial disparities in external factors such as soil pro perties and climate conditions, as well as biochar characteristics such as pH an d carbon content." Funders for this research include National Natural Science Foundation of China ( NSFC), Western Light Young Scholars Project, Chinese Academy of Science.

Key words

Chengdu/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Nitrogen/Chinese Academy o f Sciences

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出版年

2024

Robotics & Machine Learning Daily News

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