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ORCIDSierra N. Young
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2020 – today
- 2022
[j10]Yuzhen Lu
, Sierra N. Young, Haifeng Wang, Nuwan Wijewardane:
Robust plant segmentation of color images based on image contrast optimization. Comput. Electron. Agric. 193: 106711 (2022)- [j9]Shai Kendler, Ran Aharoni, Sierra N. Young, Hanan Sela, Tamar Kis-Papo, Tzion Fahima, Barak Fishbain:
Detection of crop diseases using enhanced variability imagery data and convolutional neural networks. Comput. Electron. Agric. 193: 106732 (2022) - [j8]Dong Chen, Yuzhen Lu, Zhaojian Li, Sierra N. Young:
Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems. Comput. Electron. Agric. 198: 107091 (2022) - [j7]Sierra N. Young, Ryan J. Lanciloti, Joshua M. Peschel:
The Effects of Interface Views on Performing Aerial Telemanipulation Tasks Using Small UAVs. Int. J. Soc. Robotics 14(1): 213-228 (2022) - [j6]Sheila M. Saia, Natalie G. Nelson, Sierra N. Young, Stanton Parham, Micah Vandegrift:
Ten simple rules for researchers who want to develop web apps. PLoS Comput. Biol. 18(1) (2022) - 2021
- [j5]Piyush Pandey, Kitt G. Payn, Yuzhen Lu, Austin J. Heine, Trevor D. Walker, Juan J. Acosta, Sierra N. Young:
Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings. Remote. Sens. 13(18): 3595 (2021) - [i2]Erkan Kayacan, Sierra N. Young, Joshua M. Peschel, Girish Chowdhary:
High Precision Control of Tracked Field Robots in the Presence of Unknown Traction Coefficients. CoRR abs/2103.11294 (2021) - [i1]Dong Chen, Yuzhen Lu, Zhaojiang Li, Sierra N. Young:
Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems. CoRR abs/2110.04960 (2021) - 2020
- [j4]Yuzhen Lu, Sierra N. Young:
A survey of public datasets for computer vision tasks in precision agriculture. Comput. Electron. Agric. 178: 105760 (2020) - [j3]Sierra N. Young, Joshua M. Peschel:
Review of Human-Machine Interfaces for Small Unmanned Systems With Robotic Manipulators. IEEE Trans. Hum. Mach. Syst. 50(2): 131-143 (2020)
2010 – 2019
- 2019
- [j2]Sierra N. Young:
A Framework for Evaluating Field-Based, High-Throughput Phenotyping Systems: A Meta-Analysis. Sensors 19(16): 3582 (2019) - 2018
- [j1]Erkan Kayacan, Sierra N. Young, Joshua M. Peschel, Girish Chowdhary:
High-precision control of tracked field robots in the presence of unknown traction coefficients. J. Field Robotics 35(7): 1050-1062 (2018)
Coauthor Index
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