Author

K. V. Pecota

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· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

C. M. Williams· 1 shared C. Yencho· 1 shared E. Lobaton· 1 shared G. C. Yencho· 1 shared G. Hoffmann· 1 shared L. O. Duque· 1 shared M. Boyette· 1 shared M. W. Kudenov· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioengineering

C. M. Williams

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Author profile →

2 papers

Recent·Most cited

Early root architectural traits and their relationship with yield in Ipomoea batatas L.

L. O. Duque, G. Hoffmann, K. V. Pecota, C. Yencho

The paper evaluates early root architectural traits in sweetpotato genotypes and finds correlations between these traits and storage root yield.

bioRxiv · Oct 20, 2023 · PreprintPlant Biology

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

S. Haque, E. Lobaton, N. Nelson, G. C. Yencho, K. V. Pecota, R. Mierop, M. W. Kudenov, M. Boyette, 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.

bioRxiv · Jul 24, 2020Bioengineering