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Combining Artificial Intelligence and Local Ecological Knowledge to Document the Largest Ever‐Counted Cape Buffalo Mega‐Herd

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Bibliographic Details
Published in:Ecology and Evolution
Format: Online Article RSS Article
Published: 2026
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container_title Ecology and Evolution
description
discipline_display Environmental Studies
discipline_facet Environmental Studies
format Online Article
RSS Article
genre Journal Article
id rss_article:91854
institution FRELIP
journal_source_facet Ecology and Evolution
last_indexed 2026-06-16T02:03:04.397Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Combining Artificial Intelligence and Local Ecological Knowledge to Document the Largest Ever‐Counted Cape Buffalo Mega‐Herd
Environmental Studies
General
Environmental Studies
sub_discipline_display General
sub_discipline_facet General
subject_display Environmental Studies
General
Environmental Studies
Environmental Studies
General
Environmental Studies
subject_facet Environmental Studies
General
Environmental Studies
title Combining Artificial Intelligence and Local Ecological Knowledge to Document the Largest Ever‐Counted Cape Buffalo Mega‐Herd
title_auth Combining Artificial Intelligence and Local Ecological Knowledge to Document the Largest Ever‐Counted Cape Buffalo Mega‐Herd
title_full Combining Artificial Intelligence and Local Ecological Knowledge to Document the Largest Ever‐Counted Cape Buffalo Mega‐Herd
title_fullStr Combining Artificial Intelligence and Local Ecological Knowledge to Document the Largest Ever‐Counted Cape Buffalo Mega‐Herd
title_full_unstemmed Combining Artificial Intelligence and Local Ecological Knowledge to Document the Largest Ever‐Counted Cape Buffalo Mega‐Herd
title_short Combining Artificial Intelligence and Local Ecological Knowledge to Document the Largest Ever‐Counted Cape Buffalo Mega‐Herd
title_sort combining artificial intelligence and local ecological knowledge to document the largest ever‐counted cape buffalo mega‐herd
topic Environmental Studies
General
Environmental Studies
url https://onlinelibrary.wiley.com/doi/10.1002/ece3.73802?af=R