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- W4207063465 abstract "Abstract Herbarium specimens are dried plants mounted to paper. They are used by a limited number of researchers, such as plant taxonomists, as a source of information on morphology and distribution. Recently, digitised herbarium specimens have begun to be used in comprehensive research to address broader issues. However, some specimens have been misidentified, and if used, there is a risk of drawing incorrect conclusions. In this study, we successfully developed a system for identifying species names with high accuracy using an image recognition system. We developed a system with an accuracy of 96.4% using 500,554 specimen images of 2,171 plant species in 192 families that grow in Japan. It is clarified where AI is looking and make decisions, and which species is mistaken for which species. As the system can be applied to digitalised images worldwide, it should be useful for selecting and correcting misidentified herbarium specimens." @default.
- W4207063465 created "2022-01-26" @default.
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- W4207063465 date "2022-01-24" @default.
- W4207063465 modified "2023-10-16" @default.
- W4207063465 title "Development of a System for the Automated Identification of Herbarium Specimens with High Accuracy" @default.
- W4207063465 doi "https://doi.org/10.21203/rs.3.rs-1266904/v1" @default.
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