Author

E. Rodene

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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Plant Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Organism:plant (other)· 2 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

J. C. Schnable· 2 shared J. Yang· 2 shared A. Pages· 1 shared C. Miao· 1 shared C. Smith· 1 shared G. Xu· 1 shared I. Stavness· 1 shared J. Ubbens· 1 shared

Activity by Year

2019-2021 · peak 1/yr

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2 shared papersPlant Biology

J. C. Schnable

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2 papers

Recent·Most cited

A UAV-based high-throughput phenotyping approach to assess time-series nitrogen responses and identify traits associated genetic components in maize

J. Yang, E. Rodene, G. Xu, C. Smith, Y. Ge, J. C. Schnable

This study uses UAV-based phenotyping to analyze maize nitrogen responses over time, identifying genetic regions and candidate genes associated with phenotypic traits.

bioRxiv · May 24, 2021Plant Biology

Simulated Plant Images Improve Maize Leaf Counting Accuracy

C. Miao, T. P. Hoban, A. Pages, Z. Xu, E. Rodene, J. Ubbens, I. Stavness, J. Yang, J. C. Schnable

The paper shows synthetic maize leaf images improve leaf counting accuracy when real-world data are limited, outperforming real data in some cases.

bioRxiv · Jul 18, 2019 · PreprintPlant Biology