Survey on grass phytolith identification: see the results!
- Post by: phytoliths@admin
- September 26, 2019
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Caroline Strömberg and Tim Gallaher developed a machine learning and computer vision (ML&CV) tool for automatically identifying grass silica short cell phytoliths (GSSCP). To make this tool better than a human at identifying GSSCP, they asked phytolith researchers to take a test. You can still take this ~10-minute anonymous survey to try to identify 14 sets of GSSCP morphotypes, but the correct answers are now available! Thank you again for this collective effort, which will be acknowledged in a forthcoming paper on the method!
Categories: Research activity
