Recommending plant taxa for supporting on-site species identification
Abstract Background Predicting a list of plant taxa most likely to be observed at a given geographical location and time is useful for many scenarios in biodiversity informatics. Since efficient plant species identification is impeded mainly by the large number of possible candidate species, providi...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-05-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-018-2201-7 |