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

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

(2022) Kaya Turgut et al.   Plant Methods

Boosting plant-part segmentation of cucumber plants by enriching incomplete 3D point clouds with spectral data

(2021) Frans P. Boogaard et al.   BIOSYSTEMS ENGINEERING

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

(2020) Helin Dutagaci et al.   Plant Methods

Boosting Minority Class Prediction on Imbalanced Point Cloud Data

(2020) Hsien-I Lin et al.   Applied Sciences-Basel

Deep Learning for 3D Point Clouds: A Survey

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

Measuring crops in 3D: using geometry for plant phenotyping

(2019) Stefan Paulus   Plant Methods

A Point-Wise LiDAR and Image Multimodal Fusion Network (PMNet) for Aerial Point Cloud 3D Semantic Segmentation

(2019) Vinayaraj Poliyapram et al.   Remote Sensing

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

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

A Versatile Phenotyping System and Analytics Platform Reveals Diverse Temporal Responses to Water Availability in Setaria

(2015) Noah Fahlgren et al.   Molecular Plant

Phenotypic Effects of Salt and Heat Stress over Three Generations in Arabidopsis thaliana

(2013) Léonie Suter et al.   PLoS One