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Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds

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Published in:GigaScience
Format: Online Article RSS Article
Published: 2025
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discipline_display Natural Sciences
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publishDate 2025
publishDateSort 2025
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spellingShingle Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds
Biology
Natural Sciences — Life Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Life Sciences
sub_discipline_facet Natural Sciences — Life Sciences
subject_display Biology
Natural Sciences — Life Sciences
Natural Sciences
Biology
Natural Sciences — Life Sciences
Natural Sciences
subject_facet Biology
Natural Sciences — Life Sciences
Natural Sciences
title Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds
title_auth Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds
title_full Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds
title_fullStr Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds
title_full_unstemmed Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds
title_short Open RGB imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds
title_sort open rgb imaging workflow for morphological and morphometric analysis of fruits using deep learning: a case study on almonds
topic Biology
Natural Sciences — Life Sciences
Natural Sciences
url https://academic.oup.com/gigascience/article/doi/10.1093/gigascience/giaf157/8384178?rss=1