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Luciano Alves de Oliveira

Assistant Professor, Agricultural and Biological Engineering

Additional Campus Affiliations

Assistant Professor, Agricultural and Biological Engineering
Assistant Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)

Recent Publications

de Oliveira, L. A., Dougherty, H., Cooke, R. A. C., Maxwell, B. M., Helmers, M. J., Birgand, F., Pittelkow, C. M., Christianson, R. D., & Christianson, L. E. (2023). Aspect ratio and baffles impact hydraulic performance of full-size denitrifying bioreactors. Ecological Engineering, 189, Article 106912. https://doi.org/10.1016/j.ecoleng.2023.106912

de Oliveira, L. A., Maxwell, B., Christianson, R., & Christianson, L. E. (2023). HIGH-FREQUENCY BROMIDE SENSOR PERFORMANCE DURING DENITRIFYING BIOREACTOR TRACER TESTING. Applied Engineering in Agriculture, 39(6), 639-644. https://doi.org/10.13031/AEA.15683

Alves de Oliveira, L., Muñoz Ventura, A., Preza-Fontes, G., Greer, K. D., Pittelkow, C. M., Bhattarai, R., Christianson, R., & Christianson, L. (2022). Assessing the concept of control points for dissolved reactive phosphorus losses in subsurface drainage. Journal of Environmental Quality, 51(6), 1155-1167. https://doi.org/10.1002/jeq2.20400

De Miranda, J. H., Christianson, L. E., & Alves de Oliveira, L. (2021). Projeto e execução de sistemas de drenagem agrícola. In A. Paolinelli, D. D. Neto, & E. C. Mantovani (Eds.), Diferentes abordagens sobre agricultura irrigada no Brasil ESALQ Universidade de Sao Paolo. https://doi.org/10.11606/9786587391120

Nicoletti, J., De Miranda, J. H., Cooke, R., Christianson, L., & De Oliveira, L. A. (2021). Efficiency analysis of machine learning models for simulating nitrate movement in soils from Illinois State. In American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2021 (pp. 2113-2122). (American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2021; Vol. 4). American Society of Agricultural and Biological Engineers. https://doi.org/10.13031/aim.202100830

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