Sierra Young
Sierra Young
Assistant Professor, Biological and Agricultural Engineering, North Carolina State University
Verified email at - Homepage
Cited by
Cited by
Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum
SN Young, E Kayacan, JM Peschel
Precision Agriculture 20 (4), 697-722, 2019
A survey of public datasets for computer vision tasks in precision agriculture
Y Lu, S Young
Computers and Electronics in Agriculture 178, 105760, 2020
High‐precision control of tracked field robots in the presence of unknown traction coefficients
E Kayacan, SN Young, JM Peschel, G Chowdhary
Journal of Field Robotics 35 (7), 1050-1062, 2018
Robot-assisted measurement for hydrologic understanding in data sparse regions
S Young, J Peschel, G Penny, S Thompson, V Srinivasan
Water 9 (7), 494, 2017
Review of human–machine interfaces for small unmanned systems with robotic manipulators
SN Young, JM Peschel
IEEE Transactions on Human-Machine Systems 50 (2), 131-143, 2020
Opportunities for Robotic Systems and Automation in Cotton Production
E Barnes, G Morgan, K Hake, J Devine, R Kurtz, G Ibendahl, A Sharda, ...
AgriEngineering 3 (2), 339-363, 2021
Autonomy in Detection, Actuation, and Planning for Robotic Weeding Systems
P Pandey, HN Dakshinamurthy, SN Young
Transactions of the ASABE 64 (2), 557-563, 2021
A process‐based approach to attribution of historical streamflow decline in a data‐scarce and human‐dominated watershed
G Penny, V Srinivasan, R Apoorva, K Jeremiah, J Peschel, S Young, ...
Hydrological Processes 34 (8), 1981-1995, 2020
High Throughput Phenotyping for Fusiform Rust Disease Resistance in Loblolly Pine Using Hyperspectral Imaging
P Pandey, KG Payn, Y Lu, AJ Heine, TD Walker, S Young
2020 ASABE Annual International Virtual Meeting, 1, 2020
Prediction of Freeze Damage and Minimum Winter Temperature of the Seed Source of Loblolly Pine Seedlings Using Hyperspectral Imaging
Y Lu, TD Walker, JJ Acosta, S Young, P Pandey, AJ Heine, KG Payn
Forest Science 67 (3), 321-334, 2021
Hyperspectral imaging combined with machine learning for the detection of fusiform rust disease incidence in loblolly pine seedlings
P Pandey, KG Payn, Y Lu, AJ Heine, TD Walker, JJ Acosta, S Young
Remote Sensing 13 (18), 3595, 2021
A framework for evaluating field-based, high-throughput phenotyping systems: a meta-analysis
SN Young
Sensors 19 (16), 3582, 2019
The Effects of Interface Views on Performing Aerial Telemanipulation Tasks Using Small UAVs
SN Young, RJ Lanciloti, JM Peschel
International Journal of Social Robotics, 1-16, 2021
A Literature Review of Non-Herbicide, Robotic Weeding: A Decade Of Progress
P Pandey, HN Dakshinamurthy, S Young …, 2020
Hyperspectral imaging-enabled high-throughput screening of loblolly pine (Pinus taeda) seedlings for freeze tolerance
Y Lu, KG Payn, P Pandey, JJ Acosta, AJ Heine, TD Walker, S Young
2020 ASABE Annual International Virtual Meeting, 1, 2020
Streamflow generation in a drying catchment outside Bangalore, India
G Penny, SE Thompson, V Srinivasan, J Peschel, SN Young, K Jeremiah
AGU Fall Meeting Abstracts 2015, H43I-1669, 2015
Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems
D Chen, Y Lu, Z Li, S Young
arXiv preprint arXiv:2110.04960, 2021
Spectral light-reflection data dimensionality reduction for timely detection of yellow rust
R Aharoni, V Klymiuk, B Sarusi, S Young, T Fahima, B Fishbain, ...
Precision Agriculture 22 (1), 267-286, 2021
Hyperspectral Imaging with Cost-Sensitive Learning for High-Throughput Screening of Loblolly Pine (Pinus taeda L.) Seedling for Freeze Tolerance
Y Lu, KG Payn, P Pandey, JJ Acosta, AJ Heine, TD Walker, S Young
Transactions of the ASABE, 0, 2021
Smart Systems to Enhance Sustainability and Add Value to Marine Aquaculture
SG Hall, MD Campbell, VM Campbell, A Geddie, MO Frinsko, ...
2021 ASABE Annual International Virtual Meeting, 1, 2021
The system can't perform the operation now. Try again later.
Articles 1–20