@inproceedings{714995e2bd6f4e028a6e45f796077ac0,
title = "Machine Learning in Ethnobotany",
abstract = "We describe new opportunities created 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.",
keywords = "convolutional neural networks, emerging economies, ethnobotany, knowledge representation, local ecological knowledge, machine learning",
author = "Marc Bohlen and Wawan Sujarwo",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 ; Conference date: 11-10-2020 Through 14-10-2020",
year = "2020",
month = oct,
day = "11",
doi = "10.1109/SMC42975.2020.9283069",
language = "English",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "108--113",
booktitle = "2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020",
address = "United States",
}