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 3D printed plant model for accurate and reliable 3D plant phenotyping.

GigaScience - 2 Jan 2024

Bömer Jonas, Esser Felix, Marks Elias, Rosu Radu Alexandru, Behnke Sven, Klingbeil Lasse, Kuhlmann Heiner, Stachniss Cyrill, Mahlein Anne-Katrin, Paulus Stefan

Abstract excerpt

BACKGROUND: This study addresses the importance of precise referencing in 3-dimensional (3D) plant phenotyping, which is crucial for advancing plant breeding and improving crop production. Traditionally, reference data in plant phenotyping rely on invasive methods. Recent advancements in 3D sensing technologies offer the possibility to collect parameters that cannot be referenced by manual measurements. This work...

Read the complete abstract on PubMed

Topics

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

Share to Beta vulgaris
Share to Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Plant Breeding

Source

Open in PubMed Open full text

Identifiers

PMID: 38897734
DOI: 10.1093/gigascience/giae035
PMCID: PMC11186670

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A 3D printed plant model for accurate and reliable 3D plant phenotyping.PMID 38897734Read ↗

Automatic Measurement of Seed Geometric Parameters Using a Handheld Scanner.Semantic proximity Read ↗

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

Automatic morphological trait characterization for corn plants via 3D holographic reconstructionSemantic proximity Read ↗

Three-dimensional phenotyping: Technological advances and applications in genomics-assisted crop breeding.Semantic proximity Read ↗

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

BreedVision--a multi-sensor platform for non-destructive field-based phenotyping in plant breeding.Semantic proximity Read ↗

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

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

Quantifying wheat spike morphology by high resolution 3D surface scanningSemantic proximity Read ↗

Large-scale field phenotyping using backpack LiDAR and CropQuant-3D to measure structural variation in wheat.Semantic proximity Read ↗

Analysing the phenotype development of soybean plants using low-cost 3D reconstruction.Semantic proximity Read ↗

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