Publications

Y. Lu, X. Li, S.N. Young, X. Li, E. Linder, D. Suchoff (2022). Hyperspectral imaging with chemometrics for non-destructive determination of cannabinoids in floral and leaf materials of industrial hemp (Cannabis sativa L.). Computers and Electronics in Agriculture, 178, 105760, doi.org/10.1016/j.compag.2022.107387.

E. Linder, S.N. Young, X. Li, S. Henriquez-Inoa, D. Suchoff (2022). The Effect of Harvest Date on Temporal Cannabinoid and Biomass Production in the Floral Hemp (Cannabis sativa L.) Cultivars BaOx and Cherry Wine. Horticulturae, 8(10), 959, doi.org/10.3390/horticulturae8100959.

E. Linder, S.N. Young, X. Li, S. Henriquez-Inoa, D. Suchoff (2022). The Effect of Transplant Date and Plant Spacing on Biomass Production for Floral Hemp (Cannabis sativa L.). Agronomy, 1856. https://doi.org/10.3390/agronomy12081856.

D. Chen, Y. Lu, Z. Li, S.N. Young (2022). Hyperspectral imaging with chemometrics for non-destructive determination of cannabinoids in floral and leaf materials of industrial hemp (Cannabis sativa L.). Computers and Electronics in Agriculture, 198, 107091, doi.org/10.1016/j.compag.2022.107091.

Y. Lu, S.N. Young, H. Wang, N. Wijewardane (2022). Robust plant segmentation of color images based on image contrast optimization. Computers and Electronics in Agriculture, 193, 106711. doi.org/10.1016/j.compag.2022.106711.

S. Kendler, R. Aharoni, S.N. Young, H. Sela, T. Kis-Papo, T. Fahima, B. Fishbain (2022). Detection of crop diseases using enhanced variability imagery data and convolutional neural networks. Computers and Electronics in Agriculture, 193, 106732. doi.org/10.1016/j.compag.2022.106732.

S.M. Saia, N.G. Nelson, S.N. Young, S. Parham, M. Vandegrift (2022). Ten simple rules for researchers who want to develop web apps. PLoS Comput Biol 18(1): e1009663. doi.org/10.1371/journal.pcbi.1009663.

S.N. Young, R. Lanciloti, J. Peschel (2022). The Effects of Interface Views on Performing Aerial Telemanipulation Tasks using Small UAVs. International Journal of Social Robotics. 14, 213-228, doi.org/10.1007/s12369-021-00783-9.

Y. Lu, K. Payn, P. Pandey, J. Acosta, A. Heine, T. Walker, S.N. Young (2021). Hyperspectral imaging with cost-sensitive learning for high-throughput screening of loblolly pine (Pinus taeda L.) seedlings for freeze tolerance. Transactions of the ASABE, 64(6):2045:2059. doi.org/10.13031/trans.14708.

P. Pandey, K. Payn, Y. Lu, A. Heine, T. Walker, J. J. Acosta, S.N. Young (2021). Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings. Remote Sensing, 13(18), 3595. doi.org/10.3390/rs13183595.

S. Kronberg, F. Provenza, S. van Vliet, S.N. Young (2021). Review: Closing nutrient cycles for animal production – Current and future agroecological and socio-economic issues. Animal (in press). doi.org/10.1016/j.animal.2021.100285.

D. Chen, Y. Lu, Z. Li, S.N. Young (2021). Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems. arXiv:2110.04960 (cs.CV).

E. Barnes, G. Morgan, K. Hake, J. Devine, R. Kurtz, G. Ibendahl, A. Sharda, G. Rains, J. Snider, J. M. Maja, J. A. Thomasson, Y. Lu, H. Gharakhani, J. Griffin, E. Kimura, R. Hardin, T. Raper, S.N. Young, K. Fue, M. Pelletier, J. Wanjura, and G. Holt (2021). Opportunities for Robotic Systems and Automation in Cotton Production. AgriEngineering, 3(2), 339-362. doi.org/10.3390/agriengineering3020023.

S.G. Hall, M.D. Campbell, V.M. Campbell, A. Geddie, M.O. Frinsko, M. Greensword, R. Hasan, N. Kasera, C. Malveaux, D. Paul, M.T.homas, D. Smith, R. Smith, S.N. Young (2021). Smart Systems to Enhance Sustainability and Add Value to Marine Aquaculture. 2021 ASABE Annual International Virtual Meeting, 2100523. doi:10.13031/aim.202100523.

P. Pandey, Hemanth Narayan D., S.N. Young (2021). Autonomy in detection, actuation, and planning for robotic weeding systems. Transactions of the ASABE, 64(2): 557-563. doi.org/10.13031/trans.14085.

Y. Lu, T. Walker, K. Payn, J. Acosta, S.N. Young, P. Pandey, A. Heine (2021). Prediction of freeze damage and minimum winter temperature of the seed source of loblolly pine seedlings using hyperspectral imaging. Forest Science 67(3), 321–334. doi:10.1093/forsci/fxab003.

Y. Lu, S.N. Young (2020). A survey of public datasets for computer vision tasks in precision agriculture. Computers and Electronics in Agriculture, 178, 105760, doi.org/10.1016/j.compag.2020.105760.

R. Aharoni, A. Klymiuk, B. Sarusi, S.N. Young, T. Fahima, B. Fishbain, S. Kendler (2020). Spectral light-reflection data dimensionality reduction for timely detection of yellow rust. Precision Agriculture, doi.org/10.1007/s11119-020-09742-2.

Y. Lu, K.G. Payn, P. Pandey, J.J. Acosta, A.J. Heine, T.D. Walker, S.N. Young (2020). Hyperspectral imaging-enabled high-throughput screening of loblolly pine (Pinus taeda) seedlings for freeze tolerance. 2020 ASABE Annual International Virtual Meeting, 202001072. doi:10.13031/aim.202001072.

P. Pandey, K.G. Payn, Y. Lu, A.J. Heine, T.D. Walker, S.N. Young (2020). High Throughput Phenotyping for Fusiform Rust Disease Resistance in Loblolly Pine Using Hyperspectral Imaging. 2020 ASABE Annual International Virtual Meeting, 2000872. doi:10.13031/aim.202000872.

G. Penny, V. Srinivasan, R. Apoorva, K. Jeremiah, J.M. Peschel, S.N. Young, S. Thompson (2020). A process‐based approach to attribution of historical streamflow decline in a data‐scarce and human‐dominated watershed. Hydrological Processes, doi.org/10.1002/hyp.13707.

S.N. Young, J. Peschel (2020). Review of Human-Machine Interfaces for Small Unmanned Systems with Robotic Manipulators. IEEE Transactions on Human Machine Systems. doi:10.1109/THMS.2020.2969380.

S.N. Young, J. Peschel, E. Kayacan (2019). Design and Field Evaluation of a Ground Robot for High-Throughput Phenotyping of Energy Sorghum. Precision Agriculture. doi.org/10.1007/s11119-018-9601-6.

S.N. Young (2019). A Framework for Evaluating Field-Based, High-Throughput Phenotyping Systems: A Meta-Analysis. Sensors, 19, 3582 doi.org/10.3390/s19163582.

E. Kayacan, S.N. Young, J. Peschel, G. Chowdhary (2018). High Precision Control of Tracked Field Robots in the Presence of Unknown Traction Coefficients. J. Field Robotics. doi.org/10.1002/rob.21794.

S.N. Young, J.M. Peschel, G. Penny, S. Thompson, V. Srinivasan (2017). Robot-Assisted Measurement for Hydrologic Understanding in Data Sparse Regions. Water, 9(7) doi.org/10.3390/w9070494.