3D Skeletonization of Complex Grapevines for Robotic Pruning

07/21/2023
by   Eric Schneider, et al.
0

Robotic pruning of dormant grapevines is an area of active research in order to promote vine balance and grape quality, but so far robotic efforts have largely focused on planar, simplified vines not representative of commercial vineyards. This paper aims to advance the robotic perception capabilities necessary for pruning in denser and more complex vine structures by extending plant skeletonization techniques. The proposed pipeline generates skeletal grapevine models that have lower reprojection error and higher connectivity than baseline algorithms. We also show how 3D and skeletal information enables prediction accuracy of pruning weight for dense vines surpassing prior work, where pruning weight is an important vine metric influencing pruning site selection.

READ FULL TEXT

page 2

page 3

page 5

research
07/30/2019

The Use of Agricultural Robots in Orchard Management

Book chapter that summarizes recent research on agricultural robotics in...
research
01/14/2020

On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks

We examine how recently documented, fundamental phenomena in deep learni...
research
06/07/2022

Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm

Pruning techniques have been successfully used in neural networks to tra...
research
06/14/2022

An autonomous robot for pruning modern, planar fruit trees

Dormant pruning of fruit trees is an important task for maintaining tree...
research
12/01/2021

Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning

Dormant season grapevine pruning requires skilled seasonal workers durin...
research
08/28/2021

Layer-wise Model Pruning based on Mutual Information

The proposed pruning strategy offers merits over weight-based pruning te...
research
08/22/2022

Automated Pruning of Polyculture Plants

Polyculture farming has environmental advantages but requires substantia...

Please sign up or login with your details

Forgot password? Click here to reset