Author

Trevor D. Witt

Kansas State UniversityORCID 0000-0002-8153-4850Unclaimed 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· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Research Focus:synaptic & neural circuits· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Aliva BakshiiD· 1 shared Doina CarageaiD· 1 shared Jahid Chowdhury ChotoniD· 1 shared Md. Abdullah Al BariiD· 1 shared S. V. Krishna JagadishiD· 1 shared Scott R. BeaniD· 1 shared Swaraj Pramanik· 1 shared Terry J. FelderhoffiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperPlant Biology

Aliva BakshiORCID

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Author profile →

1 paper

Recent·Most cited

Deep Learning for Sorghum Yield Forecasting using Uncrewed Aerial Systems and Lab-Derived Imagery

Md. Abdullah Al Bari, Aliva Bakshi, Jahid Chowdhury Choton, Swaraj Pramanik, Trevor D. Witt, Doina Caragea, Scott R. Bean, S. V. Krishna Jagadish, Terry J. Felderhoff

This paper uses deep learning models to detect sorghum panicles from aerial and lab images, improving yield prediction through machine learning regression.

Plant Phenomics · Dec 12, 2025Peer-reviewedPlant Biology