首页|New Machine Learning Data Have Been Reported by Investigators at U.S. Geological Survey (USGS) (Stream Nitrate Dynamics Driven Primarily By Discharge and Waters hed Physical and Soil Characteristics At Intensively Monitored Sites: Insights From ...)
New Machine Learning Data Have Been Reported by Investigators at U.S. Geological Survey (USGS) (Stream Nitrate Dynamics Driven Primarily By Discharge and Waters hed Physical and Soil Characteristics At Intensively Monitored Sites: Insights From ...)
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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 from Reston, Virginia, by NewsRx jou rnalists, research stated, “We developed a suite of models using deep learning t o make hindcast predictions of the 7-day average backward-looking nitrate concen tration at 46 predominantly agricultural sites across the midwestern and eastern United States. The models used daily observations of discharge and meteorologic al variables and watershed attributes describing anthropogenic modification to hydrology, nitrogen application, climate, groundwater, land use, watershed physio graphic attributes, and soils.”
RestonVirginiaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningU.S. Geolo gical Survey (USGS)
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