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

Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms.

GigaScience - 1 Nov 2017

Perez-Sanz Fernando, Navarro Pedro J, Egea-Cortines Marcos

Abstract excerpt

The study of phenomes or phenomics has been a central part of biology. The field of automatic phenotype acquisition technologies based on images has seen an important advance in the last years. As with other high-throughput technologies, it addresses a common set of problems, including data acquisition and analysis. In this review, we give an overview of the main systems developed to acquire images. We give an...

Read the complete abstract on PubMed

Topics

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

Share to Genome, Plant
Share to Genomics
Share to Image Processing, Computer-Assisted

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Machine Learning

Share to Phenotype

Share to Plants

Source

Open in PubMed Open full text

Identifiers

PMID: 29048559
DOI: 10.1093/gigascience/gix092
PMCID: PMC5737281

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms.PMID 29048559Read ↗

An Overview of High-Throughput Crop Phenotyping: Platform, Image Analysis, Data Mining, and Data Management.Semantic proximity Read ↗

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

Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping.Semantic proximity Read ↗

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

Noninvasive imaging technologies in plant phenotyping.Semantic proximity Read ↗

High-throughput phenotyping of plant shoots.Semantic proximity Read ↗

An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis.Semantic proximity Read ↗

HTPheno: an image analysis pipeline for high-throughput plant phenotyping.Semantic proximity Read ↗

Cell to whole-plant phenotyping: the best is yet to come.Semantic proximity Read ↗

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes.Semantic proximity Read ↗

OPIA: an open archive of plant images and related phenotypic traits.Semantic proximity Read ↗

Lights, camera, action: high-throughput plant phenotyping is ready for a close-up.Semantic proximity Read ↗

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