Computer vision cracks the leaf code

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Computer vision cracks the leaf code.

Understanding the extremely variable, complex shape and venation characters of angiosperm leaves is one of the most challenging problems in botany. Machine learning offers opportunities to analyze large numbers of specimens, to discover novel leaf features of angiosperm clades that may have phylogenetic significance, and to use those characters to classify unknowns. Previous computer vision app...

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ژورنال

عنوان ژورنال: Proceedings of the National Academy of Sciences

سال: 2016

ISSN: 0027-8424,1091-6490

DOI: 10.1073/pnas.1524473113