Tea tender shoot identification method based on improved YOLOv5 target detection

The invention provides a tea tender shoot identification method based on improved YOLOv5 target detection, and the method comprises the steps: collecting a tea tender shoot image in real time, carrying out the image preprocessing, and inputting the image into an improved YOLOv5 target detection module; the improved YOLOv5 target detection algorithm module comprises an improved trunk feature extraction network and an improved weighted bidirectional feature pyramid BiFPN module in a feature extraction stage, the improved weighted bidirectional feature pyramid BiFPN module is used for feature fusion, and finally, the feature fusion is input to the Head prediction output network, a prediction result is obtained, and a prediction frame of an identification image is output. The method is suitable for accurate identification of small target objects such as tea tender shoots. 本发明提供了一种基于改进YOLOv5目标检测的茶叶嫩梢识别方法，实时采集茶叶嫩芽图像并进行图像预处理，再输入到改进的YOLOv5目标检测模块，改进的YOLOv5目标检测算法模块包括在特征提取阶段改进的主干特征提取网络和改进的加权双向特征金字塔BiFPN模块，改进的加权双向特征金字塔Bi