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Edge-AI-Based Vision-Guided Robotic System for Selective Trimming of Unhealthy Leaf Clusters in Controlled Agricultural Environments
This paper presents a low-cost edge-AI-based robotic platform for selective detection and trimming of unhealthy leaf clusters in controlled agricultural environments. The system combines a four-wheel-drive mobile base, a 3D-printed 4-degree-of-freedom robotic arm, a Raspberry Pi 4 running a YOLOv8-b
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