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Knowledge preservation refers to the systematic collection, documentation, and safeguarding of botanical information—including traditional knowledge, genetic resources, and scientific data—so it remains accessible across generations. In plant science, this practice is vital for protecting indigenous and local expertise about medicinal, agricultural, and ecological plant uses that might otherwise be lost, while also ensuring that genetic diversity and research findings remain available for future conservation and breeding efforts. Preserving this knowledge helps safeguard biodiversity and supports sustainable resource management as ecosystems face increasing pressure from climate change and habitat loss.

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AI tools may help Kenyan libraries preserve vanishing plant and farming knowledge

OpenAlex · 2026-08-19

This systematic review examines how AI tools like natural language processing and knowledge graphs could help special libraries in Kenya better capture and preserve Indigenous knowledge, which is currently at risk of being lost as oral traditions fade.

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Kenyan academic libraries have begun exploring AI adoption, but lack of awareness and readiness remains a significant barrier

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Oral Indigenous knowledge is structurally vulnerable to loss due to its tacit, unstructured, and experiential nature

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AI technologies including knowledge graphs, automated transcription, NLP, and machine learning are identified as viable tools for Indigenous knowledge preservation, though infrastructural and policy gaps persist in emerging economies

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