Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review

BR Hussein, OA Malik, WH Ong, JWF Slik - Ecological Informatics, 2022 - Elsevier
Herbaria contain the treasure of millions of specimens that have been preserved for several
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …

[HTML][HTML] Determining the community composition of herbaceous species from images using convolutional neural networks

M Körschens, SF Bucher, P Bodesheim, J Ulrich… - Ecological …, 2024 - Elsevier
Global change has a detrimental impact on the environment and changes biodiversity
patterns, which can be observed, among others, via analyzing changes in the composition of …

Utilizing herbarium specimens to assist with the listing of rare plants

B Molano-Flores, SA Johnson, PB Marcum… - Frontiers in …, 2023 - frontiersin.org
Funding for rare plant conservation is limited. In addition, many aspects of the biology and
ecology of rare plants are unknown. Therefore, low-cost data generation approaches to fill …

Unified Automatic Plant Cover and Phenology Prediction

M Körschens, SF Bucher… - Proceedings of the …, 2023 - openaccess.thecvf.com
The composition and phenology of plant communities are paramount indicators for
environmental changes, especially climate change, and are, due to this, subject to many …