Article Versions Notes

Miller T, Mikiciuk G, Kisiel A, Mikiciuk M, Paliwoda D, Sas-Paszt L, Cembrowska-Lech D, Krzemińska A, Kozioł A, Brysiewicz A. Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture. Agriculture. 2023; 13(8):1622. https://doi.org/10.3390/agriculture13081622

Miller, Tymoteusz, Grzegorz Mikiciuk, Anna Kisiel, Małgorzata Mikiciuk, Dominika Paliwoda, Lidia Sas-Paszt, Danuta Cembrowska-Lech, Adrianna Krzemińska, Agnieszka Kozioł, and Adam Brysiewicz. 2023. "Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture" Agriculture 13, no. 8: 1622. https://doi.org/10.3390/agriculture13081622

Miller, T., Mikiciuk, G., Kisiel, A., Mikiciuk, M., Paliwoda, D., Sas-Paszt, L., Cembrowska-Lech, D., Krzemińska, A., Kozioł, A., & Brysiewicz, A. (2023). Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture. Agriculture, 13(8), 1622. https://doi.org/10.3390/agriculture13081622