首页|Studies from University of Florida Describe New Findings in Machine Learning (Mu lti-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properti es)
Studies from University of Florida Describe New Findings in Machine Learning (Mu lti-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properti es)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting from Gainesville, Florida, by News Rx journalists, research stated, “We present a data-driven, in situ proximal mul ti-sensor digital soil mapping approach to develop digital twins for multiple ag ricultural fields. A novel Digital Soil CoreTM (DSC) Probe was engineered that c ontains seven sensors, each of a distinct modality, including sleeve friction, t ip force, dielectric permittivity, electrical resistivity, soil imagery, acousti cs, and visible and near-infrared spectroscopy.”
University of FloridaGainesvilleFlor idaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesM achine Learning
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