Author

M. W. Kudenov

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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Bioengineering· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

C. G. Scarboro· 1 shared C. J. Doherty· 1 shared C. M. Williams· 1 shared E. Lobaton· 1 shared G. C. Yencho· 1 shared K. V. Pecota· 1 shared M. Boyette· 1 shared N. Nelson· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioengineering

C. G. Scarboro

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2 papers

Recent·Most cited

BioengineeringbioRxivJul 24, 2020

Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery

S. Haque, E. Lobaton, N. Nelson…·C. M. Williams

This paper introduces a computer vision algorithm to quantify shape and size of sweetpotato using high-throughput imagery, achieving 84.59% accuracy in classifying quality grades.

DOI 10.1016/j.compag.2021.106011

imagingdeep learning

𝕏 PostBluesky

BioengineeringbioRxivPreprintApr 23, 2020

Detection of Gray Mold in Plants Using a Multispectral Imaging System

C. G. Scarboro, S. M. Ruzsa, C. J. Doherty, M. W. Kudenov

The paper designs a multispectral imaging system to detect gray mold in lettuce leaves with high accuracy using two spectral bands.

DOI 10.1101/2020.04.23.051300

plant (other)imaging

𝕏 PostBluesky