Author

Michelle van der Bank

University of JohannesburgORCID 0000-0001-9462-3353Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Organism:plant (other)· 1

Frequent Co-Authors

Nicholas W. BardiD· 1 shared Ross D. StewartiD· 1 shared T. Jonathan DaviesiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperEcology

Nicholas W. BardORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

EcologyPlants People PlanetPeer-reviewedJun 25, 2025

Leveraging machine learning and citizen science data to describe flowering phenology across South Africa

Ross D. Stewart, Nicholas W. Bard, Michelle van der Bank, T. Jonathan Davies

The paper uses machine learning to classify flowering phenology from citizen science images, revealing peak flower production and flowering season length for many South African plant species.

8 citationstop 2%

plant (other)imaging

𝕏 PostBluesky