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David S Bullock

Professor

Additional Campus Affiliations

Professor, Agricultural and Consumer Economics
Professor, National Center for Supercomputing Applications (NCSA)
Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)

Recent Publications

Tanaka, T. S. T., Heuvelink, G. B. M., Mieno, T., & Bullock, D. S. (2024). Can machine learning models provide accurate fertilizer recommendations? Precision Agriculture, 25(4), 1839-1856. https://doi.org/10.1007/s11119-024-10136-x

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

Li, X., Mieno, T., & Bullock, D. S. (2023). The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation. Precision Agriculture, 24(6), 2500-2521. https://doi.org/10.1007/s11119-023-10050-8

Queiroz, P. W. V., Perrin, R. K., Fulginiti, L. E., & Bullock, D. S. (2023). An Expected Value of Sample Information (EVSI) Approach for Estimating the Payoff from a Variable Rate Technology. Journal of Agricultural and Resource Economics, 48(1), 1-13. https://doi.org/10.22004/ag.econ.320680

Tanaka, T. S. T., Mieno, T., Tanabe, R., Matsui, T., & Bullock, D. S. (2023). Toward an effective approach for on-farm experimentation: lessons learned from a case study of fertilizer application optimization in Japan. Precision Agriculture, 24(5), 2044-2060. https://doi.org/10.1007/s11119-023-10029-5

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