Pilot Case 6 introduces an autonomous mobile robot adapted for precision pruning and thinning tasks in orchards. Using vision-based AI, the robot identifies branches for removal and supports operators with XR-based decision tools. A task-specific gripper developed with safety and flexibility in mind will ensure effective pruning.
Seasonal data collection will inform model training for pruning decisions. The gripper will undergo multi-season testing, and iterative field trials will refine the robot’s performance in varied tree structures and conditions.
Evaluation focuses on navigation, target detection accuracy, pruning tool efficiency, and safety. Comparisons to manual pruning will assess precision, plant health impacts, and labor reduction.
XR simulations train farmers in robotic pruning strategies and support expert-guided decision-making. Real-time AR overlays aid the robot and operator in identifying and confirming pruning targets for improved orchard management.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
Gregory Mygdakos
AGRICULTURAL APPLICATIONS IKE
(AgroApps)
34 KORITSAS STR.,
THESSALONIKI 551 33, Greece
Milica Velimirovic
INOSENS DOO (INOSENS)
SONJE MARINKOVIC 18/1/3,
NOVI SAD 21000, Serbia
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