Congratulations to Eugene

Congratulations to Eugene for the acceptance of the manuscript " Trellis wire reconstruction by line anchor-based detection with vertical stereo vision " for publication in Computers and Electronic Agriculture.

This study introduces Wire-CLRNet, a line anchor-based convolutional neural network architecture designed to detect trellis wires under occluded outdoor conditions. Wire-CLRNet is integrated into a novel framework that translates the detected planar information into accurate spatial information critical for robotic operations in orchards using vertically configured stereo vision. The proposed system improves depth estimation and provides a comprehensive solution for both planar and spatial wire reconstruction. The proposed framework has shown improvement in planar and spatial reconstruction of thin trellis wires as compared to existing works.