Robotics & Machine Learning Daily News2024,Issue(Apr.17) :21-21.

Research from George Mason University Provides New Study Findings on Machine Lea rning (Quantifying Seagrass Density Using Sentinel-2 Data and Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Apr.17) :21-21.

Research from George Mason University Provides New Study Findings on Machine Lea rning (Quantifying Seagrass Density Using Sentinel-2 Data and Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingfrom Fairfax, Virginia, by Ne wsRx journalists, research stated, “Seagrasses, rooted aquatic plants growingco mpletely underwater, are extremely important for the coastal ecosystem. They are an importantcomponent of the total carbon burial in the ocean, they provide fo od, shelter, and nursery to manyaquatic organisms in coastal ecosystems, and th ey improve water quality. Due to human activity, seagrasscoverage has been rapi dly declining, and there is an urgent need to monitor seagrasses consistently.”

Key words

George Mason University/Fairfax/Virgin ia/United States/North and Central America/Cyborgs/Emerging Technologies/Ma chine Learning/Remote Sensing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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