Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability

Saved in:
Bibliographic Details
Published in:Plant Phenomics
Format: Online Article RSS Article
Published: 2025
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030189587005443
collection WordPress RSS
FRELIP Feed Integration
container_title Plant Phenomics
description
discipline_display Agriculture & Food Sciences
discipline_facet Agriculture & Food Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:10711
institution FRELIP
journal_source_facet Plant Phenomics
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability
AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
sub_discipline_display AI and Smart Agriculture
sub_discipline_facet AI and Smart Agriculture
subject_display AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
subject_facet AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
title RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability
title_auth RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability
title_full RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability
title_fullStr RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability
title_full_unstemmed RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability
title_short RootXplorer: A computer vision-based 3D phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability
title_sort rootxplorer: a computer vision-based 3d phenotyping platform for high-throughput quantification and spatio-temporal analysis of root system penetrability
topic AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
url https://www.sciopen.com/article/10.1016/j.plaphe.2025.100143