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PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study

Abstract: Understanding a plant’s root system architecture (RSA) is crucial for a variety of plant science problem domains including sustainability and climate adaptation. Minirhizotron (MR) technology is a widely-used approach for phenotyping RSA non-destructively by capturing root imagery over time.… Read More

Welcome New Master’s Student Matt Wein!

The Machine Learning and Sensing Lab is excited to welcome Matt Wein as a new Masters student! Matt received his BS degree in Civil & Structural Engineering from the University of Florida in 2016. After spending several years as a… Read More

Histogram Layers for Texture Analysis accepted to IEEE TAI, 2021!

Congratulations to our labmates and collaborators: Joshua Peeples, Weihuang Xu, and Alina Zare! Their paper, “Histogram Layers for Texture Analysis”, was recently accepted to IEEE Transactions on Artificial Intelligence, 2021. In the paper, the authors present a localized histogram layer… Read More

Image-to-Height Domain Translation for Synthetic Aperture Sonar

Abstract: Synthetic aperture sonar (SAS) intensity statistics are dependent upon the sensing geometry at the time of capture. Estimating bathymetry from acoustic surveys is challenging. While several methods have been proposed to estimate seabed relief via intensity, we develop the… Read More