首页|Research from George Mason University Provides New Study Findings on Machine Lea rning (Quantifying Seagrass Density Using Sentinel-2 Data and Machine Learning)
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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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.”
George Mason UniversityFairfaxVirgin iaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMa chine LearningRemote Sensing
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