Author

D. Nettleton

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 Assay:imaging· 2 Organism:plant (other)· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

B. Ganapathysubramanian· 1 shared C. J. Lawrence-Dill· 1 shared C. M. Andorf· 1 shared C.-T. Yeh· 1 shared D. A. Campbell· 1 shared I. Friedberg· 1 shared J. W. Kelly· 1 shared N. Lee· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperPlant Biology

B. Ganapathysubramanian

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2 papers

Recent·Most cited

Automatic Traits Extraction and Fitting for Field High-throughput Phenotyping Systems

X. Guo, Y. Qiu, D. Nettleton, C.-T. Yeh, Z. Zheng, S. Hey, P. S. Schnable

The paper presents a pipeline for extracting and analyzing plant traits from field images, showing improved accuracy in plant height measurement compared to manual methods.

bioRxiv · Sep 9, 2020 · PreprintPlant Biology

Crowdsourcing Image Analysis for Plant Phenomics to Generate Ground Truth Data for Machine Learning

N. Zhou, Z. D. Siegel, S. Zarecor, N. Lee, D. A. Campbell, C. M. Andorf, D. Nettleton, C. J. Lawrence-Dill, B. Ganapathysubramanian, J. W. Kelly, I. Friedberg

This paper evaluates crowdsourcing for generating high-quality ground truth data for machine learning in plant phenomics, finding that Amazon MTurk workers match expert performance.

bioRxiv · May 30, 2018Plant Biology