rhizotron – Alina Zare – Machine Learning and Sensing Lab

OVERCOMING SMALL DATASETS PUBLISHED IN COMPUTERS AND ELECTRONICS IN AGRICULTURE!

June 19, 2020 in Journal Papers, News, Publication

Congratulations to our labmates, Weihuang Xu, Guohao Yu and Alina Zare, as well as collaborators Brenden Zurweller, Diane Rowland, Joel Reyes-Cabrera, Felix Fritschi, Roser Matamala and Thomas Juenger! Their paper, “Overcoming Small Minirhizotron Datasets Using Transfer Learning”, was published in… Read More

autoencoder classification deep convolutional neural networks deep learning image processing minirhizotron peanut plants rhizotron roots segmentation switchgrass transfer learning u-net

OVERCOMING SMALL MINIRHIZOTRON DATASETS ACCEPTED TO COMPUTERS AND ELECTRONICS IN AGRICULTURE!

April 28, 2020 in Journal Papers, News, Publication

Congratulations to our labmates, Weihuang Xu, Guohao Yu and Alina Zare, as well as collaborators Brenden Zurweller, Diane Rowland, Joel Reyes-Cabrera, Felix Fritschi, Roser Matamala and Thomas Juenger! Their paper, titled “Overcoming Small Minirhizotron Datasets Using Transfer Learning”, was recently… Read More

autoencoder classification deep learning image processing minirhizotron peanut plants rhizotron roots segmentation switchgrass transfer learning u-net

Overcoming Small Minirhizotron Datasets Using Transfer Learning

March 22, 2019 in Journal Papers, Publication

Abstract: Minirhizotron technology is widely used for studying the development of roots. Such systems collect visible-wavelength color imagery of plant roots in-situ by scanning an imaging system within a clear tube driven into the soil. Automated analysis of root systems… Read More

autoencoder classification deep learning image processing minirhizotron peanut plants rhizotron roots segmentation switchgrass transfer learning u-net