Author

R. P. Pavlick

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1 Organism:plant (other)· 1

Frequent Co-Authors

B. Schmid· 1 shared D. S. Schimel· 1 shared E. Paul-Limoges· 1 shared F. D. Schneider· 1 shared F. E. Romero Galvan· 1 shared F. Morsdorf· 1 shared G. Rubambiza· 1 shared H. Weatherspoon· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEcology

B. Schmid

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Author profile →

2 papers

Recent·Most cited

Towards Cloud-Native, Machine Learning Based Detection of Crop Disease with Imaging Spectroscopy

G. Rubambiza, F. E. Romero Galvan, R. P. Pavlick, H. Weatherspoon, K. Gold

This paper develops a cloud-based system for detecting plant disease using hyperspectral imaging, demonstrating its adaptability to new models and data types while preserving data privacy.

bioRxiv · Dec 15, 2022 · PreprintEcology

Remote sensing-based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale

F. D. Schneider, M. Longo, E. Paul-Limoges, V. M. Scholl, B. Schmid, F. Morsdorf, R. P. Pavlick, D. S. Schimel, M. E. Schaepman, P. R. Moorcroft

The paper uses remote sensing and modeling to show that functional diversity boosts productivity at local scales but not at larger scales, with environmental factors playing a key role.

bioRxiv · Aug 11, 2022Ecology