Ripeness identification of pitaya fruit based on YOLOv8 and PSP-Ellipse
[Objective]Improve the accuracy and robustness of maturity detection of pitaya fruit.[Methods]Combining the YOLOv8 object detection model with the PSP-Ellipse segmentation algorithm,an efficient and accurate automatic identification method for pitaya fruit maturity was proposed.First,the real-time target detection function of YOLOv8 was used to locate and identify the pitaya fruit initially.Then the shape recognition capability of PSP-Ellipse was used to further fine classify the shape and maturity of the pitaya fruit.[Results]The accuracy rate of maturity classification of pitaya fruit was 97.6%,and the robustness was strong.[Conclusion]This method can significantly improve the automatic classification efficiency of pitaya fruit under complex backgrounds and various lighting conditions.
国家科技期刊平台
NSTL
万方数据
