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Seeing the unseen: A novel approach to extract latent plant root traits from digital images

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Bibliographic Details
Published in:Plant Phenomics
Format: Online Article RSS Article
Published: 2025
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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:10732
institution FRELIP
journal_source_facet Plant Phenomics
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Seeing the unseen: A novel approach to extract latent plant root traits from digital images
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 Seeing the unseen: A novel approach to extract latent plant root traits from digital images
title_auth Seeing the unseen: A novel approach to extract latent plant root traits from digital images
title_full Seeing the unseen: A novel approach to extract latent plant root traits from digital images
title_fullStr Seeing the unseen: A novel approach to extract latent plant root traits from digital images
title_full_unstemmed Seeing the unseen: A novel approach to extract latent plant root traits from digital images
title_short Seeing the unseen: A novel approach to extract latent plant root traits from digital images
title_sort seeing the unseen: a novel approach to extract latent plant root traits from digital images
topic AI and Smart Agriculture
AI and Smart Agriculture
Agriculture & Food Sciences
url https://www.sciopen.com/article/10.1016/j.plaphe.2025.100088