Biography
Dr. Martin improves long-term profitability and stability of cropping systems by exploring applications of quantitative methods on big data. He leverages interdisciplinary efforts to expand the frontiers of agricultural research; investigates quantitative methods on processes at multiple spatial and temporal scales; and studies effective approaches to implement new insights and discoveries in agricultural decisions and operations.
Education
Crop Sciences, PhD, University of Illinois Urbana-Champaign
Additional Campus Affiliations
Assistant Professor, Crop Sciences
Office of Risk Management & Insurance Research (ORMIR) Faculty Fellow, Finance
Assistant Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)
Recent Publications
Mandrini, G., Pittelkow, C. M., Archontoulis, S., Kanter, D., & Martin, N. F. (2022). Exploring Trade-Offs Between Profit, Yield, and the Environmental Footprint of Potential Nitrogen Fertilizer Regulations in the US Midwest. Frontiers in Plant Science, 13, [852116]. https://doi.org/10.3389/fpls.2022.852116
Mandrini, G., Archontoulis, S. V., Pittelkow, C. M., Mieno, T., & Martin, N. F. (2022). Simulated dataset of corn response to nitrogen over thousands of fields and multiple years in Illinois. Data in Brief, 40, [107753]. https://doi.org/10.1016/j.dib.2021.107753
Trevisan, R. G., Martin, N. F., Fonteyne, S., Verhulst, N., Dorado Betancourt, H. A., Jimenez, D., & Gardeazabal, A. (2022). Multiyear Maize Management Dataset collected in Chiapas, Mexico. Data in Brief, 40, [107837]. https://doi.org/10.1016/j.dib.2022.107837
Wang, M., Wander, M., Mueller, S., Martin, N., & Dunn, J. B. (2022). Evaluation of survey and remote sensing data products used to estimate land use change in the United States: Evolving issues and emerging opportunities. Environmental Science Policy, 129, 68-78. https://doi.org/10.1016/j.envsci.2021.12.021
Watson, G. P., Martin, N. F., Grant, Z. B., Batka, S. C., & Margenot, A. J. (2022). Soil lead distribution in Chicago, USA. Geoderma Regional, 28, [e00480]. https://doi.org/10.1016/j.geodrs.2021.e00480