mlsanityData to 14 Oct 2026

Machine Learning in Ethnobotany -- a first experiment

arXiv 2008.01611 ↗First posted 4 Aug 2020cs.CYcited by 2

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Abstract (arXiv)

We describe new opportunities afforded by bring A.I to the field of ethnobotany. In particular we describe a novel approach to ethnobotany documentation that harnesses machine learning opportunities, specifically for the documentation of traditional ecological knowledge with mobile phones in emerging economies. Using a case study on the island of Bali as a departure point, the project maps out machine learning approaches to documentation and responds to technology and capital gradients between research contexts in the global north and south in an attempt to capture knowledge that might otherwise not be represented.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Aug 2020.

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Citing papers per year: 2021: 2.

2 papers.