Lightweight model for simultaneous detection of strawberries maturity and picking points based on improved YOLOv8

Key Points

• The model achieves high accuracy in detecting strawberry maturity and picking points, enhancing harvesting efficiency.
• Key metrics include an accuracy rate of over 90% in identifying ripe strawberries, indicating strong performance.
• Assessment using advanced image processing techniques and the YOLO algorithm enables rapid detection of strawberry maturity.
• Highlighting a scalable solution for agricultural practices, the findings may enable more effective harvesting in real-world settings.