首页|University of Minnesota Researchers Update Current Data on Machine Learning (Mul ti-trait modeling and machine learning discover new markers associated with stem traits in alfalfa)
University of Minnesota Researchers Update Current Data on Machine Learning (Mul ti-trait modeling and machine learning discover new markers associated with stem traits in alfalfa)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting originating from the University o f Minnesota by NewsRx correspondents, research stated, “Alfalfa biomass can be f ractionated into leaf and stem components. Leaves comprise a protein-rich and hi ghly digestible portion of biomass for ruminant animals, while stems constitute a high fiber and less digestible fraction, representing 50 to 70% of the biomass.”
University of MinnesotaCyborgsEmergi ng TechnologiesMachine LearningSupport Vector Machines
NETL
NSTL
