Author

Steven Binder

University of GeorgiaORCID 0000-0003-2281-3152Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:plant (other)· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Alexander BuckschiD· 2 shared Kabir M. HossainiD· 2 shared Mable P. FokiD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersPlant Biology

Alexander BuckschORCID

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2 papers

Recent·Most cited

Plant BiologybioRxivPreprintSep 23, 2026

DIRTNet: Enabling Root Phenotyping with Fiber Bragg Grating Sensors

Kabir M. Hossain, Steven Binder, Mable P. Fok, Alexander Bucksch

DIRTNet, a hybrid deep learning model, accurately predicts root depth and diameter from FBG sensor data in both simulated and real maize root growth scenarios.

DOI 10.64898/2026.09.22.753535

plant (other)deep learning

𝕏 PostBluesky

Plant BiologyIEEE Photonics Technology LettersPeer-reviewedMar 21, 2025

Fiber Bragg grating based sensing system for non-destructive root phenotyping using ResNet prediction

Steven Binder, Kabir M. Hossain, Alexander Bucksch, Mable P. Fok

This paper develops a fiber Bragg grating sensing system with ResNet models to predict root width and depth in real-time, achieving high accuracy in pseudo-root measurements.

3 citations

deep learningtransformer / foundation model

𝕏 PostBluesky