Publications by authors named "Fabio Taddei Dalla Torre"
Plants (Basel)
November 2024
Article Synopsis
- This study addresses the challenges of labor-intensive hand-picking of edible flowers by exploring the use of artificial intelligence for robotic harvesting.
- It leverages advanced technologies like YOLOv5 for 2D detection and the Segmentation Anything Model for 3D localization of flowers, aiming to improve harvesting efficiency across different flower species.
- Results indicated effective 2D detection and promising advancements in 3D localization and pose estimation for identifying optimal plucking points using linear regression techniques.
