Author

Roberta L. C. Dayrell

Royal Botanic Gardens, KewORCID 0000-0002-4770-9100Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adam Richard‐BollansiD· 1 shared Charlotte E. SealiD· 1 shared Efisio MattanaiD· 1 shared Pablo Gómez BarreiroiD· 1 shared Ted ChapmaniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperPlant Biology

Adam Richard‐BollansORCID

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1 paper

Recent·Most cited

Enhancing tree seed germination prediction with image-driven machine learning models.

Pablo Gómez Barreiro, Adam Richard‐Bollans, Efisio Mattana, Charlotte E. Seal, Ted Chapman, Roberta L. C. Dayrell

This paper uses image-driven machine learning to predict tree seed germination, finding that X-ray images are better at detecting empty seeds while color images struggle with variability and differentiation.

bioRxiv · Jan 21, 2025 · PreprintPlant Biology