The existing machinery for tea picking requires manual assistance for tea picking,and there is a situation where old leaves and tender buds are cut in one piece,which can damage a portion of the tea and is only suitable for picking low end tea.Therefore,it is necessary to develop an accurate and efficient method for identifying tea buds.Aiming at the problem of complex background in tea bud images,this pa-per addresses the issue of complex backgrounds in images of tea bud shoots.Based on the YOLOv5 algo-rithm,the paper implements multifaceted improvements to the algorithm.The experimental results show that the improved model's mean Average Precision(mAP)has increased by 4.1％,and Recall has increased by 4.0％,with the improved method reducing the occurrence of missed detections.
维普
万方数据