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

A novel mesh processing based technique for 3D plant analysis.

BMC plant biology - 3 May 2012

Paproki Anthony, Sirault Xavier, Berry Scott, Furbank Robert, Fripp Jurgen

Abstract excerpt

BACKGROUND: In recent years, imaging based, automated, non-invasive, and non-destructive high-throughput plant phenotyping platforms have become popular tools for plant biology, underpinning the field of plant phenomics. Such platforms acquire and record large amounts of raw data that must be acc...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Electronic Data Processing
Share to Gossypium

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Image Processing, Computer-Assisted

Share to Imaging, Three-Dimensional

Share to Plant Leaves

Share to Plant Stems

Share to Time Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 22553969
DOI: 10.1186/1471-2229-12-63
PMCID: PMC3464618

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-22553969-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A novel mesh processing based technique for 3D plant analysis.PMID 22553969Read ↗

Automated analysis of barley organs using 3D laser scanning: an approach for high throughput phenotyping.Semantic proximity Read ↗

High-throughput image segmentation and machine learning approaches in the plant sciences across multiple scales.Semantic proximity Read ↗

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

Advanced imaging techniques for the study of plant growth and development.Semantic proximity Read ↗

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

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

Image-based dynamic quantification and high-accuracy 3D evaluation of canopy structure of plant populations.Semantic proximity Read ↗

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

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

Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular ResolutionSemantic proximity Read ↗

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

Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms.Semantic proximity Read ↗

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