Author

Nicholas R. Shepard

Texas A&M UniversityORCID 0009-0001-3688-6259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1

Frequent Co-Authors

Aaron J. DeSalvioiD· 2 shared Alper AdakiD· 2 shared Seth C. MurrayiD· 2 shared David M. StellyiD· 1 shared Himabindhu BadavathiD· 1 shared José Ignacio VarelaiD· 1 shared Mustafa A Arik· 1 shared Mustafa Arik· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersPlant Biology

Aaron J. DeSalvioORCID

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2 papers

Recent·Most cited

Plant BiologyThe Plant Phenome JournalPeer-reviewedMay 13, 2025

DEEP LEARNING-BASED HIGH-THROUGHPUT PHENOTYPING OF MAIZE (Zea mays L.) TASSELING FROM UAS IMAGERY ACROSS ENVIRONMENTS

Nicholas R. Shepard, Aaron J. DeSalvio, Mustafa Arik…·Natalia de Leon

This paper develops a CNN-based method for high-throughput maize tasseling phenotyping using UAS imagery across multiple environments, achieving high classification accuracy.

7 citations

zebrafishimaging

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Plant Biologyin silico PlantsPeer-reviewedJan 1, 2024

Temporal Image Sandwiches Enable Link between Functional Data Analysis and Deep Learning for Single-Plant Cotton Senescence

Aaron J. DeSalvio, Alper Adak, Mustafa A Arik…·David M. Stelly

This paper links functional data analysis with deep learning to analyze single-plant cotton senescence using temporally concatenated UAS images.

DOI 10.1093/insilicoplants/diae019

plant (other)imaging

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