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

Application of deep learning in ecological resource research: Theories, methods, and challenges

(2020) Qinghua Guo et al.   Science China-Earth Sciences

Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

(2020) Shichao Jin et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation

(2020) Dawei Li et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Development of a Peanut Canopy Measurement System Using a Ground-Based LiDAR Sensor

(2019) Hongbo Yuan et al.   Frontiers in Plant Science

Evaluating maize phenotype dynamics under drought stress using terrestrial lidar

(2019) Yanjun Su et al.   Plant Methods

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

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

SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks

(2018) Alexandre Boulch et al.   COMPUTERS & GRAPHICS-UK

3-D reconstruction of maize plants using a time-of-flight camera

(2018) Manuel Vázquez-Arellano et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated Segmentation of Leaves From Deciduous Trees in Terrestrial Laser Scanning Point Clouds

(2018) Zs. Koma et al.   IEEE Geoscience and Remote Sensing Letters

Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms

(2018) Shichao Jin et al.   Frontiers in Plant Science

Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data

(2018) Shichao Jin et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Methods for LiDAR-based estimation of extensive grassland biomass

(2018) Damian Schulze-Brüninghoff et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimating Leaf Area Density of Individual Trees Using the Point Cloud Segmentation of Terrestrial LiDAR Data and a Voxel-Based Model

(2017) Shihua Li et al.   Remote Sensing

In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR

(2017) Shangpeng Sun et al.   Remote Sensing

High-Resolution Laser Scanning Reveals Plant Architectures that Reflect Universal Network Design Principles

(2017) Adam Conn et al.   Cell Systems

Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes

(2016) T. Duan et al.   JOURNAL OF EXPERIMENTAL BOTANY

Evaluating and Improving the Depth Accuracy of Kinect for Windows v2

(2015) Lin Yang et al.   IEEE SENSORS JOURNAL

Structured Light-Based 3D Reconstruction System for Plants

(2015) Thuy Nguyen et al.   SENSORS

TraitCapture: genomic and environment modelling of plant phenomic data

(2014) Tim B Brown et al.   CURRENT OPINION IN PLANT BIOLOGY

Automatic reconstruction of tree skeletal structures from point clouds

(2010) Yotam Livny et al.   ACM TRANSACTIONS ON GRAPHICS