ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

The topography of the orchard is variable. The planting density of the fruit trees is large, and the shape of the crown is different. Therefore, it is difficult to recognize the crown of an individual fruit tree in a complex orchard background. A novel method of crown recognition and segmentation based on Mask R-CNN neural network model was studied. The image data of the citrus orchard was obtained through the camera, and the Mask R-CNN neural network was used to realize the recognition and segmentation of the crown of an individual citrus plant. The research results showed that the recognition accuracy of the individual tree crown of the orchard participating in the modeling was 97%, and the recognition time was 0.26s, which can basically meet the requirements of tree crown recognition in the process of precise orchard operation. The recognition accuracy of the single tree crown of the orchard not participating in the modeling was 89%, which showed that the model was suitable for different kinds and environments of orchards. Compared with the SegNet model, the accuracy of the used model was about 5 percentage points higher, indicating that it had a better recognition and segmentation effect in complex orchard images with more non-target tree crowns. Therefore, the recognition and segmentation method can achieve rapid and accurate recognition and segmentation of single tree crown, which provided an important basis for accurate orchard operations such as target spraying, pest protection, growth recognition and prediction.