“The problem of low mechanization level in facility grape harvesting is expected to be solved. A Chinese research team has designed an automatic facility grape harvesting machine based on machine vision, proposed an average cutting position positioning algorithm based on ear position information and a harvesting execution system control algorithm, constructed a grape ear recognition model based on YOLOv5, and determined the optimal operating parameters of the machine through field experiments. The harvesting efficiency of the system was evaluated, providing an innovative technical solution for intelligent, efficient and low loss harvesting of facility grapes, which has reference value for promoting the development of mechanization in facility grape production.”