From leaves to labels: Building modular machine learning networks for rapid herbarium specimen analysis with LeafMachine2.

Applications in plant sciences(2023)

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摘要
LeafMachine2 is a highly efficient tool for generating large quantities of plant trait data, even from occluded or overlapping leaves, field images, and non-archival data sets. Our project, along with similar initiatives, has made significant progress in removing the bottleneck in plant trait data acquisition from herbarium specimens and shifted the focus toward the crucial task of data revision and quality control.
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关键词
digital extended specimen,digital specimen voucher,herbarium,machine learning,morphometrics,neural networks
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