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
Abdala, L. J., Tamagno, S., Ruiz, A., Schwalbert, R. A., Correndo, A. A., & Martin, N. (2025). Yield environment changes the ranking of soybean genotypes. Field Crops Research, 321, Article 109661. https://doi.org/10.1016/j.fcr.2024.109661
Alesso, C. A., & Martin, N. F. (2024). Spatial and temporal variability of corn response to nitrogen and seed rates. Agronomy Journal, 116(3), 897-916. https://doi.org/10.1002/agj2.21471
Gilbert, C., & Martin, N. (2024). Using agro-ecological zones to improve the representation of a multi-environment trial of soybean varieties. Frontiers in Plant Science, 15, Article 1310461. https://doi.org/10.3389/fpls.2024.1310461
Marcillo, G. S., Thapa, R., Mirsky, S. B., & Martin, N. (2024). The nitrogen value of cover crops: How much N can cover crops replace? Agricultural and Environmental Letters, 9(2), Article e70006. https://doi.org/10.1002/ael2.70006
Pérez, O., Diers, B., & Martin, N. F. (2024). Maturity Prediction in Soybean Breeding Using Aerial Images and the Random Forest Machine Learning Algorithm. Remote Sensing, 16(23), Article 4343. https://doi.org/10.3390/rs16234343