Edge-Driven Orchard Analytics: Automated Treetop Detection using YOLOv11
Published at MIPRO 2026 β 49th ICT and Electronics Convention, Opatija, Croatia
Co-authored and led the technical implementation of this paper, developed as part of the Horizon Europe project CrackSense. The work presents an edge-computing pipeline for automated treetop detection and instance segmentation in citrus orchards using YOLOv11, deployed on edge devices to minimize data transmission and enable on-site inference in low-connectivity environments.
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