首页|New Machine Learning Findings from Cornell University Described (Nyus.2: an Auto mated Machine Learning Prediction Model for the Large-scale Real-time Simulation of Grapevine Freezing Tolerance In North America)
New Machine Learning Findings from Cornell University Described (Nyus.2: an Auto mated Machine Learning Prediction Model for the Large-scale Real-time Simulation of Grapevine Freezing Tolerance In North America)
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 - Investigators discuss new findings in Machine Lea rning. According to news reporting originating in Geneva, Switzerland, by NewsRx journalists, research stated, “Accurate and real-time monitoring of grapevine f reezing tolerance is crucial for the sustainability of the grape industry in coo l climate viticultural regions. However, on-site data are limited due to the com plexity of measurement.”
GenevaSwitzerlandEuropeCyborgsEm erging TechnologiesMachine LearningCornell University
NETL
NSTL
