首页|Research from Jiangsu University Broadens Understanding of Robotics (Seedling-YO LO: High-Efficiency Target Detection Algorithm for Field Broccoli Seedling Trans planting Quality Based on YOLOv7-Tiny)
Research from Jiangsu University Broadens Understanding of Robotics (Seedling-YO LO: High-Efficiency Target Detection Algorithm for Field Broccoli Seedling Trans planting Quality Based on YOLOv7-Tiny)
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 – New research on robotics is the subject of a new report. According to news reporting from Zhenjiang, People’s Republic of China, by NewsRx journalists, research stated, “The rapid and accurate detection of bro ccoli seedling planting quality is crucial for the implementation of robotic int elligent field management. However, existing algorithms often face issues of fal se detections and missed detections when identifying the categories of broccoli planting quality.”
Jiangsu UniversityZhenjiangPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningNa no-robotRobotics
NETL
NSTL
