# Sierra Young Source: https://hello.cv/sierrayoung ## Links - twitter | https://twitter.com/SierraNYoung ## Work ### Assistant Professor | Utah Water Research Laboratory, Utah State University ### Assistant Professor | North Carolina State University ### Visiting Scholar | Iowa State University ### Department of Defense NDSEG Research Fellow | University of Illinois at Urbana-Champaign ## Education ### University of Illinois at Urbana-Champaign | Ph.D. ### University of Illinois at Urbana-Champaign | M.S. ### Cornell University | B.S. ## Publications ### High-precision control of tracked field robots in the presence of unknown traction coefficients Journal of Field Robotics journal-article ### Ten simple rules for researchers who want to develop web apps PLOS Computational Biology journal-article ### The Effects of Interface Views on Performing Aerial Telemanipulation Tasks Using Small UAVs International Journal of Social Robotics journal-article ### Detection of crop diseases using enhanced variability imagery data and convolutional neural networks COMPUTERS AND ELECTRONICS IN AGRICULTURE journal-article ### Hyperspectral Imaging With Machine Learning to Differentiate Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp (Cannabis sativa L.) FRONTIERS IN PLANT SCIENCE journal-article ### Robust plant segmentation of color images based on image contrast optimization COMPUTERS AND ELECTRONICS IN AGRICULTURE journal-article ### The Effect of Transplant Date and Plant Spacing on Biomass Production for Floral Hemp (Cannabis sativa L.) Agronomy journal-article ### The Effects of Interface Views on Performing Aerial Telemanipulation Tasks Using Small UAVs INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS other ### Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings Remote Sensing journal-article ### Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings REMOTE SENSING journal-article ### Prediction of Freeze Damage and Minimum Winter Temperature of the Seed Source of Loblolly Pine Seedlings Using Hyperspectral Imaging Forest Science journal-article ### Prediction of Freeze Damage and Minimum Winter Temperature of the Seed Source of Loblolly Pine Seedlings Using Hyperspectral Imaging FOREST SCIENCE journal-article ### Opportunities for Robotic Systems and Automation in Cotton Production AgriEngineering journal-article ### Opportunities for Robotic Systems and Automation in Cotton Production AGRIENGINEERING other ### Spectral light-reflection data dimensionality reduction for timely detection of yellow rust Precision Agriculture journal-article ### FRONTIER: AUTONOMY IN DETECTION, ACTUATION, AND PLANNING FOR ROBOTIC WEEDING SYSTEMS TRANSACTIONS OF THE ASABE journal-article ### HYPERSPECTRAL IMAGING WITH COST-SENSITIVE LEARNING FOR HIGH-THROUGHPUT SCREENING OF LOBLOLLY PINE (PINUS TAEDA L.) SEEDLINGS FOR FREEZE TOLERANCE TRANSACTIONS OF THE ASABE journal-article ### Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings Remote Sensing journal-article ### Review of Human–Machine Interfaces for Small Unmanned Systems With Robotic Manipulators IEEE Transactions on Human-Machine Systems journal-article ### A process‐based approach to attribution of historical streamflow decline in a data‐scarce and human‐dominated watershed Hydrological Processes journal-article ### A survey of public datasets for computer vision tasks in precision agriculture Computers and Electronics in Agriculture journal-article ### A Framework for Evaluating Field-Based, High-Throughput Phenotyping Systems: A Meta-Analysis Sensors journal-article ### Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum Precision Agriculture journal-article ### A Framework for Evaluating Field-Based, High-Throughput Phenotyping Systems: A Meta-Analysis Sensors journal-article ### Robot-Assisted Measurement for Hydrologic Understanding in Data Sparse Regions Water journal-article ## Source Read this profile on Hello.cv: https://hello.cv/sierrayoung Create your free profile at https://hello.cv