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Sierra Young
Sierra Young
Assistant Professor, Civil and Environmental Engineering, Utah State University
Verified email at usu.edu
Title
Cited by
Cited by
Year
A survey of public datasets for computer vision tasks in precision agriculture
Y Lu, S Young
Computers and Electronics in Agriculture 178, 105760, 2020
822020
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
692019
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
292018
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
192020
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
172017
Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems
D Chen, Y Lu, Z Li, S Young
Computers and Electronics in Agriculture 198, 107091, 2022
112022
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), 339-362, 2021
92021
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
92020
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
62021
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
62021
Closing nutrient cycles for animal production–Current and future agroecological and socio-economic issues
SL Kronberg, FD Provenza, S Van Vliet, SN Young
Animal 15, 100285, 2021
52021
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
52021
Robust plant segmentation of color images based on image contrast optimization
Y Lu, S Young, H Wang, N Wijewardane
Computers and Electronics in Agriculture 193, 106711, 2022
42022
Detection of crop diseases using enhanced variability imagery data and convolutional neural networks
S Kendler, R Aharoni, S Young, H Sela, T Kis-Papo, T Fahima, B Fishbain
Computers and Electronics in Agriculture 193, 106732, 2022
42022
Ten simple rules for researchers who want to develop web apps
SM Saia, NG Nelson, SN Young, S Parham, M Vandegrift
PLoS computational biology 18 (1), e1009663, 2022
32022
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
32021
Hyperspectral Imaging With Machine Learning to Differentiate Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp (Cannabis sativa L.).
Y Lu, S Young, E Linder, B Whipker, D Suchoff
Frontiers in Plant Science 12, 810113-810113, 2021
32021
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
32020
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
22021
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
22020
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