Abstract: Root crown phenotyping measures the top portion of crop root systems and can be used for marker-assisted breeding, genetic mapping, and understanding how roots influence soil resource acquisition. Several imaging protocols and image analysis programs exist, but they are… Read More
Author: cuiyiming@ufl.edu
Root Identification in Minirhizotron Imagery with Multiple Instance Learning
Abstract: In this paper, multiple instance learning (MIL) algorithms to automatically perform root detection and segmentation in minirhizotron imagery using only image-level labels are proposed. Root and soil characteristics vary from location to location, thus, supervised machine learning approaches that… Read More
Three dimensional reconstruction of plant roots via low energy X-ray computed tomography
Abstract: Plant roots are vital organs for water and nutrient uptake. The structure and spatial distribution of plant roots in the soil affects a plant’s physiological functions such as soil-based resource acquisition, yield and its ability to live under abiotic… Read More
Our labmates Zou Sheng and Weihuang Xu recently presented at Plant Phenomics in Tucson
Our labmates Zou Sheng and Weihuang Xu recently presented their work on peanut maturity estimation and root segmentation at Plant Phenomics in Tucson, AZ. They did a great job presenting their work – and both received a 2019 Travel Award!
Complex Scene Classification of PoLSAR Imagery Based on a Self-Paced Learning Approach
Abstract: Existing polarimetric synthetic aperture radar (PolSAR) image classification methods cannot achieve satisfactory performance on complex scenes characterized by several types of land cover with significant levels of noise or similar scattering properties across land cover types. Hence, we propose… Read More
Welcome new Post-doctoral Scientist Susan Meerdink!
The Machine Learning and Sensing Lab is excited to welcome our newest lab member Susan Meerdink! Susan got her M.S. and Ph.D. degrees from University of California Santa Barbara. She studies the ability to map plant species across seasons in… Read More
Congratulations to our labmate Connor McCurley to be chosen as the Graduate Student of the Week for the week of October 8th!
Our labmate, Connor McCurley, was chose as the Graduate Student of the Week for the week of October 8th. He will talk about Machine Learning and Sensing Lab and also his research in the past years. Congratulations, Connor!
Welcome to our new undergraduate students!
The Machine Learning and Sensing Lab is excited to welcome our newest lab members Alyssa Bowles, Caleb Robey, Layiwola Lawrence Ibukun, Jake Samuelson, Ross Spencer, Val Christian and Yutai Zhou! They will be working on : Alyssa, Ross, and Val… Read More
Congratulations to our labmate Joshua Peeples for Winning 3 year travel award to attend the Board’s Institute on Teaching and Mentoring Conference!
Congrats to our labmate Joshua Peeples for receiving a 3 year travel award to attend the 2018 Southern Regional Education Board’s Institute on Teaching and Mentoring conference , held on October 25-28, 2018!
Bocinsky and McCurley present in DC
Our labmates James Bocinsky and Connor McCurley recently presented their work on buried explosive object detection at a project meeting in Washington D.C. They did a great job presenting their work – and had some time to see the sights!