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Nicolas Federico Martin

Assistant Professor, Crop Sciences

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

Associate Professor, Crop Sciences
Associate Professor, Center for Latin American and Caribbean Studies
Associate Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)

Recent Publications

Alesso, C. A., & Martin, N. F. (2023). Spatial and temporal variability of corn response to nitrogen and seed rates. Agronomy Journal. Advance online publication. https://doi.org/10.1002/agj2.21471

Li, N., Bullock, D., Butts-Wilmsmeyer, C., Gentry, L., Goodwin, G., Han, J., Kleczweski, N., Martín, N. F., Paulausky, P., Pistorius, P., Seiter, N., Schroeder, N., & Margenot, A. J. (2023). Distinct soil health indicators are associated with variation in maize yield and tile drain nitrate losses. Soil Science Society of America Journal, 87(6), 1332-1347. Advance online publication. https://doi.org/10.1002/saj2.20586

Tao, R., Zhao, P., Wu, J., Martin, N., Harrison, M. T., Ferreira, C., Kalantari, Z., & Hovakimyan, N. (2023). Optimizing Crop Management with Reinforcement Learning and Imitation Learning. In E. Elkind (Ed.), Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 (pp. 6228-6236). (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2023-August). International Joint Conferences on Artificial Intelligence.

Tao, R., Martin, N. F., Zhao, P., Harrison, M. T., Wu, J., Ferreira, C., Kalantari, Z., & Hovakimyan, N. (2023). Optimizing Crop Management with Reinforcement Learning and Imitation Learning. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2023-May, 2511-2513.

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, Article 852116. https://doi.org/10.3389/fpls.2022.852116

View all publications on Illinois Experts