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Optimising Soybean Seed Classification Through Ensemble Deep Learning: A Novel Computational Approach

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Bibliographic Details
Published in:African Journal of Applied Research
Format: Online Article RSS Article
Published: 2026
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container_title African Journal of Applied Research
description
discipline_display African Open Access — Technology & Engineering
discipline_facet African Open Access — Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:86541
institution FRELIP
journal_source_facet African Journal of Applied Research
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Optimising Soybean Seed Classification Through Ensemble Deep Learning: A Novel Computational Approach
African Open Access — Technology & Engineering
General
African Open Access — Technology & Engineering
sub_discipline_display General
sub_discipline_facet General
subject_display African Open Access — Technology & Engineering
General
African Open Access — Technology & Engineering
African Open Access — Technology & Engineering
General
African Open Access — Technology & Engineering
subject_facet African Open Access — Technology & Engineering
General
African Open Access — Technology & Engineering
title Optimising Soybean Seed Classification Through Ensemble Deep Learning: A Novel Computational Approach
title_auth Optimising Soybean Seed Classification Through Ensemble Deep Learning: A Novel Computational Approach
title_full Optimising Soybean Seed Classification Through Ensemble Deep Learning: A Novel Computational Approach
title_fullStr Optimising Soybean Seed Classification Through Ensemble Deep Learning: A Novel Computational Approach
title_full_unstemmed Optimising Soybean Seed Classification Through Ensemble Deep Learning: A Novel Computational Approach
title_short Optimising Soybean Seed Classification Through Ensemble Deep Learning: A Novel Computational Approach
title_sort optimising soybean seed classification through ensemble deep learning: a novel computational approach
topic African Open Access — Technology & Engineering
General
African Open Access — Technology & Engineering
url https://ajaronline.com/index.php/AJAR/article/view/1667