New Machine Learning Findings from Northwest A&F University Reporte d [Potential of Solar-induced Chlorophyll Fluorescence (Sif) To Access Long-term Dynamics of Soil Salinity Using Oco-2 Satellite Data and Mac hine Learning Method]

西北农林科技大学的新机器学习发现报告D[利用OCO-2卫星数据和Mac Hine学习方法利用太阳诱导叶绿素荧光(Sif)获取土壤盐分长期动态的潜力]

Robotics & Machine Learning Daily News2024，Issue(Jun.11) ：113-114.

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New Machine Learning Findings from Northwest A&F University Reporte d [Potential of Solar-induced Chlorophyll Fluorescence (Sif) To Access Long-term Dynamics of Soil Salinity Using Oco-2 Satellite Data and Mac hine Learning Method]

西北农林科技大学的新机器学习发现报告D[利用OCO-2卫星数据和Mac Hine学习方法利用太阳诱导叶绿素荧光(Sif)获取土壤盐分长期动态的潜力]

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摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。据新华社记者从中国人民日报山西发回的新闻报道称，“土壤盐分积累已成为一种世界性普遍现象，对全球生产构成重大威胁。土壤盐分作为一种环境胁迫，会降低植被的光合活性。”本研究的资助单位包括国家自然科学基金(NSFC)、国家重点研究开发项目。

Abstract

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 reporting originating in Shanxi, People’s Repu blic of China, by NewsRx journalists, research stated, “The accumulation of soil salt becomes a worldwide widespread phenomenon, being a major threat to global production. As an environmental stress, soil salinity can reduce the vegetation photosynthetic activity.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Key Research and Development Program of China.

Key words

Shanxi/People’s Republic of China/Asia/Biological Factors/Chlorophyll/Chlorophyllides/Cyborgs/Emerging Technologi es/Machine Learning/Metalloporphyrins/Porphyrins/Northwest A&F University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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