From leaves to labels: Building modular machine learning networks for rapid herbarium specimen analysis with LeafMachine2
Applications in Plant Sciences2023Vol. 11(5), pp. e11548–e11548
Citations Over TimeTop 1% of 2023 papers
Abstract
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.
Related Papers
- → The four W's of two 18th century Dutch herbaria: the 'Zierikzee Herbarium' and the herbarium of Simon D'Oignies(2021)3 cited
- "bamu" herbarium and herbarium techniques(2013)
- Analysis of polygonaceae family from Carl Studniczka's herbarium(2018)
- Vodeno bilje u zbirci Herbarium croaticum (ZA)(2019)
- The genus Nyssa in the Netherlands Indies(1935)