Rob Austin Rockstad, G. B. G., Austin, R. E., Gouveia, B. T., Carbajal, E. M., & Milla-Lewis, S. R. (2023, December 19). Assessing unmanned aerial vehicle-based imagery for breeding applications in St. Augustinegrass under drought and non-drought conditions. CROP SCIENCE, Vol. 12. https://doi.org/10.1002/csc2.21128 Jones, E. A. L., Austin, R., Dunne, J. C., Leon, R. G., & Everman, W. J. (2023, May 2). Discrimination between protoporphyrinogen oxidase-inhibiting herbicide-resistant and herbicide-susceptible redroot pigweed (Amaranthus retroflexus) with spectral reflectance. WEED SCIENCE, Vol. 5. https://doi.org/10.1017/wsc.2023.25 Respess, Z. M., Austin, R., Gatiboni, L., & Osmond, D. (2022). Assessing the Agricultural Conservation Planning Framework toolbox in a Southern Piedmont landscape of the United States. JOURNAL OF SOIL AND WATER CONSERVATION, 77(5), 441–449. https://doi.org/10.2489/jswc.2022.00138 Marken, D. B., Ricker, M. C., & Austin, R. (2022, May 10). Combining Survey, Soil Coring, and GIS Methods to Improve Reservoir Capacity Estimates in the Maya Lowlands. ADVANCES IN ARCHAEOLOGICAL PRACTICE, Vol. 10. https://doi.org/10.1017/aap.2022.6 Larsen, J. C., Austin, R., Dunne, J., & Kudenov, M. W. (2022). Drone-based polarization imaging for phenotyping peanut in response to leaf spot disease. POLARIZATION: MEASUREMENT, ANALYSIS, AND REMOTE SENSING XV, Vol. 12112. https://doi.org/10.1117/12.2623073 Havlin, J. L., Austin, R., Hardy, D., Howard, A., & Heitman, J. L. (2022). Nutrient Management Effects on Wine Grape Tissue Nutrient Content. PLANTS-BASEL, 11(2). https://doi.org/10.3390/plants11020158 Jones, E. A. L., Austin, R., Dunne, J. C., Cahoon, C. W., Jennings, K. M., Leon, R. G., & Everman, W. J. (2022, December 19). Utilization of image-based spectral reflectance to detect herbicide resistance in glufosinate-resistant and glufosinate-susceptible plants: a proof of concept. WEED SCIENCE, Vol. 12. https://doi.org/10.1017/wsc.2022.68 Sanders, J. T., Jones, E. A. L., Austin, R., Roberson, G. T., Richardson, R. J., & Everman, W. J. (2021). Remote Sensing for Palmer Amaranth (Amaranthus palmeri S. Wats.) Detection in Soybean (Glycine max (L.) Merr.). AGRONOMY-BASEL, 11(10). https://doi.org/10.3390/agronomy11101909 Duncan, J. M., Respess, Z., Ryan, W., Austin, R., Royer, M., Osmond, D., & Kleinman, P. (2021). The Agricultural Conservation Planning Framework: Opportunities and challenges in the eastern United States. AGRICULTURAL & ENVIRONMENTAL LETTERS, Vol. 6. https://doi.org/10.1002/ael2.20054 Whitaker, A. H., Austin, R. E., Holden, K. L., Jones, J. L., Michel, F. M., Peak, D., … Duckworth, O. W. (2021). The structure of natural biogenic iron (oxyhydr)oxides formed in circumneutral pH environments. GEOCHIMICA ET COSMOCHIMICA ACTA, 308, 237–255. https://doi.org/10.1016/j.gca.2021.05.059 Piskackova, T. R., Reberg-Horton, C., Richardson, R. J., Austin, R., Jennings, K. M., & Leon, R. G. (2020). Creating Predictive Weed Emergence Models Using Repeat Photography and Image Analysis. Plants, 9(5), 635. https://doi.org/10.3390/plants9050635 Austin, R., Osmond, D., & Shelton, S. (2019). Optimum Nitrogen Rates for Maize and Wheat in North Carolina. AGRONOMY JOURNAL, 111(5), 2558–2568. https://doi.org/10.2134/agronj2019.04.0286 Sanders, J. T., Everman, W. J., Austin, R., Roberson, G. T., & Richardson, R. J. (2019). Weed species differentiation using spectral reflectance and image classification. ADVANCED ENVIRONMENTAL, CHEMICAL, AND BIOLOGICAL SENSING TECHNOLOGIES XV, Vol. 11007. https://doi.org/10.1117/12.2519306 Osmond, D., Austin, R., Shelton, S., Es, H., & Sela, S. (2018). Evaluation of Adapt-N and Realistic Yield Expectation Approaches for Maize Nitrogen Management in North Carolina. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 82(6), 1449–1458. https://doi.org/10.2136/sssaj2018.03.0127 Ryan, S. F., Adamson, N. L., Aktipis, A., Andersen, L. K., Austin, R., Barnes, L., … Dunn, R. R. (2018). The role of citizen science in addressing grand challenges in food and agriculture research. Proceedings of the Royal Society B: Biological Sciences, 285(1891), 20181977. https://doi.org/10.1098/rspb.2018.1977 Rajkovich, S., Osmond, D., Weisz, R., Crozier, C., Israel, D., & Austin, R. (2017). Evaluation of Nitrogen-Loss Prevention Amendments in Maize and Wheat in North Carolina. AGRONOMY JOURNAL, 109(5), 1811–1824. https://doi.org/10.2134/agronj2016.03.0153 Hesterberg, D., Polizzotto, M. L., Crozier, C., & Austin, R. E. (2016). Assessment of trace element impacts on agricultural use of water from the Dan River following the Eden coal ash release. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT, 12(2), 353–363. https://doi.org/10.1002/ieam.1669 Gillispie, E. C., Austin, R. E., Rivera, N. A., Bolich, R., Duckworth, O. W., Bradley, P., … Polizzotto, M. L. (2016). Soil Weathering as an Engine for Manganese Contamination of Well Water. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 50(18), 9963–9971. https://doi.org/10.1021/acs.est.6b01686 Rivera, N., Kaur, N., Hesterberg, D., Ward, C. R., Austin, R. E., & Duckworth, O. W. (2015). Chemical Composition, Speciation, and Elemental Associations in Coal Fly Ash Samples Related to the Kingston Ash Spill. ENERGY & FUELS, 29(2), 954–967. https://doi.org/10.1021/ef501258m Walker, J. T., Robarge, W. P., & Austin, R. (2014). Modeling of ammonia dry deposition to a pocosin landscape downwind of a large poultry facility. AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 185, 161–175. https://doi.org/10.1016/j.agee.2013.10.029 Vepraskas, M. J., Heitman, J. L., & Austin, R. E. (2009). Future directions for hydropedology: quantifying impacts of global change on land use. HYDROLOGY AND EARTH SYSTEM SCIENCES, 13(8), 1427–1438. https://doi.org/10.5194/hess-13-1427-2009 Anderson, E. S., Thompson, J. A., Crouse, D. A., & Austin, R. E. (2006). Horizontal resolution and data density effects on remotely sensed LIDAR-based DEM. GEODERMA, 132(3-4), 406–415. https://doi.org/10.1016/j.geoderma.2005.06.004 Anderson, E. S., Thompson, J. A., & Austin, R. E. (2005). LIDAR density and linear interpolator effects on elevation estimates. INTERNATIONAL JOURNAL OF REMOTE SENSING, 26(18), 3889–3900. https://doi.org/10.1080/01431160500181671 Austin, R. E., Crouse, D. A., Havlin, J. L., & Hodges, S. C. (2000). The Spatial Information Research Laboratory at North Carolina State University. Proceedings of the 5th International Conference on Precision Agriculture, Bloomington, Minnesota, USA, 16-19 July, 2000, 1.