CherryPicker: Semantic skeletonization and topological reconstruction of cherry trees
In plant phenotyping, accurate trait extraction from 3D point clouds of trees is still an open
problem. For automatic modeling and trait extraction of tree organs such as blossoms and …
problem. For automatic modeling and trait extraction of tree organs such as blossoms and …
[HTML][HTML] Obscured tree branches segmentation and 3D reconstruction using deep learning and geometrical constraints
The shortage of agricultural labourers worldwide has left many groups unharvested and
wasted, which motivates researchers worldwide to research fruit harvesting robots …
wasted, which motivates researchers worldwide to research fruit harvesting robots …
Sensors, systems and algorithms of 3D reconstruction for smart agriculture and precision farming: A review
S Yu, X Liu, Q Tan, Z Wang, B Zhang - Computers and Electronics in …, 2024 - Elsevier
Perceiving the shape and structure of the real three-dimensional world through sensors and
cameras is indispensable across various domains. The 3D reconstruction technology is …
cameras is indispensable across various domains. The 3D reconstruction technology is …
Autonomous manipulation learning for similar deformable objects via only one demonstration
In comparison with most methods focusing on 3D rigid object recognition and manipulation,
deformable objects are more common in our real life but attract less attention. Generally …
deformable objects are more common in our real life but attract less attention. Generally …
Push Past Green: Learning to Look Behind Plant Foliage by Moving It
Autonomous agriculture applications (eg, inspection, phenotyping, plucking fruits) require
manipulating the plant foliage to look behind the leaves and the branches. Partial visibility …
manipulating the plant foliage to look behind the leaves and the branches. Partial visibility …
Superpixels and graph convolutional neural networks for efficient detection of nutrient deficiency stress from aerial imagery
S Dadsetan, D Pichler, D Wilson… - Proceedings of the …, 2021 - openaccess.thecvf.com
Advances in remote sensing technology have led to the capture of massive amounts of data.
Increased image resolution, more frequent revisit times, and additional spectral channels …
Increased image resolution, more frequent revisit times, and additional spectral channels …
Reaching pruning locations in a vine using a deep reinforcement learning policy
We outline a neural network-based pipeline for perception, control and planning of a 7 DoF
robot for tasks that involve reaching into a dormant grapevine canopy. The proposed system …
robot for tasks that involve reaching into a dormant grapevine canopy. The proposed system …
Occlusion reasoning for skeleton extraction of self-occluded tree canopies
In this work, we present a method to extract the skeleton of a self-occluded tree canopy by
estimating the unobserved structures of the tree. A tree skeleton compactly describes the …
estimating the unobserved structures of the tree. A tree skeleton compactly describes the …
Tree Branch Skeleton Extraction from Drone-Based Photogrammetric Point Cloud
Calculating the complex 3D traits of trees such as branch structure using drones/unmanned
aerial vehicles (UAVs) with onboard RGB cameras is challenging because extracting branch …
aerial vehicles (UAVs) with onboard RGB cameras is challenging because extracting branch …
Towards robotic tree manipulation: Leveraging graph representations
There is growing interest in automating agricultural tasks that require intricate and precise
interaction with specialty crops, such as trees and vines. However, developing robotic …
interaction with specialty crops, such as trees and vines. However, developing robotic …