首页|School of Mechatronic Engineering Researchers Publish New Data on Engineering (R esearch on the Detection Method of Safflower Filaments in Natural Environment Ba sed on Improved YOLOv5s)
School of Mechatronic Engineering Researchers Publish New Data on Engineering (R esearch on the Detection Method of Safflower Filaments in Natural Environment Ba sed on Improved YOLOv5s)
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 – Investigators publish new report on en gineering. According to news reporting out of the School of Mechatronic Engineer ing by NewsRx editors, research stated, “The accurate and rapid identification o f safflower filaments is a prerequisite for automating harvesting.”