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Robotic strawberry harvesting can achieve over 82% success in real-world conditions, even in the face of severe occlusions and complex plant dynamics.
Achieving a 96.7% success rate in simulating complex strawberry harvesting tasks reveals the potential of hierarchical reinforcement learning in real-world agricultural robotics.