A graph-based approach for simultaneous semantic and instance segmentation of plant 3D point clouds

Automatic organ-level point cloud segmentation of maize shoots by integrating high-throughput data acquisition and deep learning

(2022) Yinglun Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

PlantNet: A dual-function point cloud segmentation network for multiple plant species

(2022) Dawei Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods

(2022) Kaya Turgut et al.   Plant Methods

Improved Point-Cloud Segmentation for Plant Phenotyping Through Class-Dependent Sampling of Training Data to Battle Class Imbalance

(2022) Frans P. Boogaard et al.   Frontiers in Plant Science

PSegNet: Simultaneous Semantic and Instance Segmentation for Point Clouds of Plants

(2022) Dawei Li et al.   Plant Phenomics

LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation

(2021) Jingdao Chen et al.   IEEE Robotics and Automation Letters

Direct and accurate feature extraction from 3D point clouds of plants using RANSAC

(2021) Morteza Ghahremani et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis

(2021) David Schunck et al.   PLoS One

TreePartNet

(2021) Yanchao Liu et al.   ACM TRANSACTIONS ON GRAPHICS

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

Unsupervised semantic and instance segmentation of forest point clouds

(2020) Di Wang   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

(2020) Yuxing Xie et al.   IEEE Geoscience and Remote Sensing Magazine

Deep Learning for 3D Point Clouds: A Survey

(2020) Yulan Guo et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Voxel-Based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods

(2019) Poux et al.   ISPRS International Journal of Geo-Information

Measuring crops in 3D: using geometry for plant phenotyping

(2019) Stefan Paulus   Plant Methods

Machine Learning Approaches to Improve Three Basic Plant Phenotyping Tasks Using Three-Dimensional Point Clouds

(2019) Illia Ziamtsov et al.   PLANT PHYSIOLOGY

Tensor-based classification and segmentation of three-dimensional point clouds for organ-level plant phenotyping and growth analysis

(2018) Bashar Elnashef et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Segmentation of tree seedling point clouds into elementary units

(2016) Franck Hétroy-Wheeler et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Automated interpretation of 3D laserscanned point clouds for plant organ segmentation

(2015) Mirwaes Wahabzada et al.   BMC BIOINFORMATICS

Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers

(2015) Martin Weinmann et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Quantitative assessment of automatic reconstructions of branching systems obtained from laser scanning

(2014) Frédéric Boudon et al.   ANNALS OF BOTANY

scikit-image: image processing in Python

(2014) Stéfan van der Walt et al.   PeerJ

Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping

(2013) Stefan Paulus et al.   BMC BIOINFORMATICS

A novel mesh processing based technique for 3D plant analysis

(2012) Anthony Paproki et al.   BMC PLANT BIOLOGY

L-Py: An L-System Simulation Framework for Modeling Plant Architecture Development Based on a Dynamic Language

(2012) Frédéric Boudon et al.   Frontiers in Plant Science