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

Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm

(2021) Jiahong Wei et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Rosette plant segmentation with leaf count using orthogonal transform and deep convolutional neural network

(2020) J. Praveen Kumar et al.   MACHINE VISION AND APPLICATIONS

ROSE-X: an annotated data set for evaluation of 3D plant organ segmentation methods

(2020) Helin Dutagaci et al.   Plant Methods

Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

(2020) Junfeng Gao et al.   Plant Methods

Plant 3D (P3D): a plant phenotyping toolkit for 3D point clouds

(2020) Illia Ziamtsov et al.   BIOINFORMATICS

An Improved Convolution Neural Network-Based Model for Classifying Foliage and Woody Components from Terrestrial Laser Scanning Data

(2020) Bingxiao Wu et al.   Remote Sensing

Deep learning-based detection of seedling development

(2020) Salma Samiei et al.   Plant Methods

Constraint-based automated reconstruction of grape bunches from 3D range data for high-throughput phenotyping

(2020) Jennifer Mack et al.   BIOSYSTEMS ENGINEERING

Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting

(2020) Hanwen Kang et al.   SENSORS

Automated classification of stems and leaves of potted plants based on point cloud data

(2020) Zichu Liu et al.   BIOSYSTEMS ENGINEERING

DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field

(2020) Yu Jiang et al.   Plant Methods

An adaptable approach to automated visual detection of plant organs with applications in grapevine breeding

(2019) Jonatan Grimm et al.   BIOSYSTEMS ENGINEERING

Automated morphological traits extraction for sorghum plants via 3D point cloud data analysis

(2019) Lirong Xiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Review on Deep Learning Techniques for 3D Sensed Data Classification

(2019) David Griffiths et al.   Remote Sensing

Deep Learning on Point Clouds and Its Application: A Survey

(2019) Weiping Liu et al.   SENSORS

Dynamic Graph CNN for Learning on Point Clouds

(2019) Yue Wang et al.   ACM TRANSACTIONS ON GRAPHICS

Plant-part segmentation using deep learning and multi-view vision

(2019) Weinan Shi et al.   BIOSYSTEMS ENGINEERING

Novel data augmentation strategies to boost supervised segmentation of plant disease

(2019) Clément Douarre et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Towards infield, live plant phenotyping using a reduced-parameter CNN

(2019) John Atanbori et al.   MACHINE VISION AND APPLICATIONS

Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks

(2019) Shichao Jin et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Data synthesis methods for semantic segmentation in agriculture: A Capsicum annuum dataset

(2018) R. Barth et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The use of plant models in deep learning: an application to leaf counting in rosette plants

(2018) Jordan Ubbens et al.   Plant Methods

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

3D phenotyping and QTL analysis of a complex character: rose bush architecture

(2017) Camille Li-Marchetti et al.   Tree Genetics & Genomes

Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks

(2017) Jordan R. Ubbens et al.   Frontiers in Plant Science

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

(2017) Michael P. Pound et al.   GigaScience

Segmentation of tree seedling point clouds into elementary units

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

A patch-based approach to 3D plant shoot phenotyping

(2016) Michael P. Pound et al.   MACHINE VISION AND APPLICATIONS

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

(2015) Mirwaes Wahabzada et al.   BMC BIOINFORMATICS

Assessing the visual aspect of rotating virtual rose bushes by a labeled sorting task

(2015) M. Garbez et al.   FOOD QUALITY AND PREFERENCE

Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]

(2015) Massimo Minervini et al.   IEEE SIGNAL PROCESSING MAGAZINE

Validation of plant part measurements using a 3D reconstruction method suitable for high-throughput seedling phenotyping

(2015) Franck Golbach et al.   MACHINE VISION AND APPLICATIONS

Leaf segmentation in plant phenotyping: a collation study

(2015) Hanno Scharr et al.   MACHINE VISION AND APPLICATIONS

High-precision laser scanning system for capturing 3D plant architecture and analysing growth of cereal plants

(2014) Stefan Paulus et al.   BIOSYSTEMS ENGINEERING

Automatic morphological trait characterization for corn plants via 3D holographic reconstruction

(2014) Supawadee Chaivivatrakul et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated Analysis of Barley Organs Using 3D Laser Scanning: An Approach for High Throughput Phenotyping

(2014) Stefan Paulus et al.   SENSORS

Analyzing growing plants from 4D point cloud data

(2013) Yangyan Li et al.   ACM TRANSACTIONS ON GRAPHICS

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

(2013) Stefan Paulus et al.   BMC BIOINFORMATICS

Meeting present and future challenges in sustainable horticulture using virtual plants

(2013) Gerhard Buck-Sorlin et al.   Frontiers in Plant Science

Modeling branching in cereals

(2013) Jochem B. Evers et al.   Frontiers in Plant Science

A novel mesh processing based technique for 3D plant analysis

(2012) Anthony Paproki et al.   BMC PLANT BIOLOGY

Estimation of leaf area for large scale phenotyping and modeling of rose genotypes

(2012) M. Gao et al.   SCIENTIA HORTICULTURAE

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

VISUAL CHARACTERIZATION OF THE ESTHETIC QUALITY OF THE ROSEBUSH

(2009) RACHID BOUMAZA et al.   JOURNAL OF SENSORY STUDIES

Using architectural analysis to compare the shape of two hybrid tea rose genotypes

(2009) Ph. Morel et al.   SCIENTIA HORTICULTURAE