Robotics & Machine Learning Daily News2024,Issue(Aug.27) :41-42.

China Agricultural University Reports Findings in Support Vector Machines (Envir onmental variables improve the accuracy of remote sensing estimation of soil org anic carbon content)

Robotics & Machine Learning Daily News2024,Issue(Aug.27) :41-42.

China Agricultural University Reports Findings in Support Vector Machines (Envir onmental variables improve the accuracy of remote sensing estimation of soil org anic carbon content)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning - Sup port Vector Machines is the subject of areport. According to news originating f rom Beijing, People’s Republic of China, by NewsRx correspondents,research stat ed, “Accurately and quickly estimating the soil organic carbon (SOC) content is crucial inthe monitoring of global carbon. Environmental variables play a signi ficant role in improving the accuracyof the SOC content estimation model.”

Key words

Beijing/People’s Republic of China/Asi a/Machine Learning/Remote Sensing/Support Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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