首页|Virginia Polytechnic Institute and State University (Virginia Tech) Researchers Illuminate Research in Machine Learning (Pre-Harvest Corn Grain Moisture Estimation Using Aerial Multispectral Imagery and Machine Learning Techniques)
Virginia Polytechnic Institute and State University (Virginia Tech) Researchers Illuminate Research in Machine Learning (Pre-Harvest Corn Grain Moisture Estimation Using Aerial Multispectral Imagery and Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial intelligence have been published. According to newsreporting from Suffolk, Virginia, by NewsRx journalists, research stated, “Corn grain moisture (CGM) iscritical to estimate grain maturity status and schedule harvest. Traditional methods for determining CGMrange from manual scouting, destructive laboratory analyses, and weather-based dry down estimates.”Financial supporters for this research include Usda Nifa Project; Hatch Project; Multistate HatchProject; Faculty Startup.
Virginia Polytechnic Institute and State University (Virginia Tech)SuffolkVirginiaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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