Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Registration of spatio-temporal point clouds of plants for phenotyping.

PloS one - 1 Jan 2021

Chebrolu Nived, Magistri Federico, Läbe Thomas, Stachniss Cyrill

Abstract excerpt

Plant phenotyping is a central task in crop science and plant breeding. It involves measuring plant traits to describe the anatomy and physiology of plants and is used for deriving traits and evaluating plant performance. Traditional methods for phenotyping are often time-consuming operations involving substantial manual labor. The availability of 3D sensor data of plants obtained from laser scanners or modern...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Automation
Share to Imaging, Three-Dimensional

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Lasers

Share to Phenotype

Share to Plant Breeding

Share to Plant Leaves

Share to Plants

Source

Open in PubMed Open full text

Identifiers

PMID: 33630896
DOI: 10.1371/journal.pone.0247243
PMCID: PMC7906482

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Registration of spatio-temporal point clouds of plants for phenotyping.PMID 33630896Read ↗

Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis.Semantic proximity Read ↗

Automated morphological traits extraction for sorghum plants via 3D point cloud data analysisSemantic proximity Read ↗

Plant 3D (P3D): a plant phenotyping toolkit for 3D point clouds.Semantic proximity Read ↗

Annotated 3D Point Cloud Dataset of Broad-Leaf Legumes Captured by High-Throughput Phenotyping Platform.Semantic proximity Read ↗

Machine Vision System for 3D Plant Phenotyping.Semantic proximity Read ↗

Automated interpretation of 3D laserscanned point clouds for plant organ segmentation.Semantic proximity Read ↗

Advancements in 3D Reconstruction for Plant Phenotyping: Technologies, Applications, Challenges, and Future Directions.Semantic proximity Read ↗

A novel mesh processing based technique for 3D plant analysis.Semantic proximity Read ↗

Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping.Semantic proximity Read ↗

A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum.Semantic proximity Read ↗

An unmanned ground vehicle phenotyping-based method to generate three-dimensional multispectral point clouds for deciphering spatial heterogeneity in plant traits.Semantic proximity Read ↗

Identifying Developmental Patterns in Structured Plant Phenotyping Data.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.